Best DataOps Platforms

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

DataOps platforms act as command centers for DataOps. These solutions orchestrate people, processes, and technology to deliver a trusted data pipeline to their users. DataOps platforms assemble several types of data management software into an individual, integrated environment. Data flows in a simple manner from various data sources. These platforms are used to leverage any analytical tool—from data collection to data reporting via a single integrated platform. The platform unifies all the development and operations in data workflows. DataOps platforms are used to provide the flexibility to support a vast number of existing and new tools, as they are added. Organizations use the platform to control the entire workflow and related processes and ensure data-driven decisions are being made. Cycle times are reduced significantly and users are empowered with a single point of access to manage the data. Companies can leverage DataOps platforms to derive on-demand insights for successful business decisions.

DataOps platforms are primarily used by analytics and data teams within an organization; they are cross-functional and can be used across multiple verticals such as healthcare, finance, and others. IT operation teams can reduce storage infrastructure and increase staff productivity using a DataOps platform. Development and testing teams can decrease development cycles, app development times and reduce errors significantly by using this consolidated platform.

To qualify for inclusion in the DataOps category, a product must:

Enable collaboration between data providers and data consumers to ensure data fluidity
Combine different data management practices within a single platform, acting as an end-to-end solution
Completely automate end-to-end data workflows across the data integration lifecycle
Provide a dashboard and visualization tools to support data analysis and collaboration between various stakeholders
Support deployment on any cloud environment

Best DataOps Platforms At A Glance

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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84 Listings in DataOps Platforms Available
(405)4.6 out of 5
Optimized for quick response
8th Easiest To Use in DataOps Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    182
    Features
    165
    Integrations
    104
    Data Management
    91
    Easy Integrations
    88
    Cons
    Learning Curve
    55
    Missing Features
    52
    Steep Learning Curve
    52
    Expensive
    49
    Performance Issues
    36
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.2
    Data Observability
    Average: 8.9
    8.2
    Testing capabilities
    Average: 8.6
    8.8
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    76,320 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,769 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Enterprise
  • 34% Mid-Market
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
182
Features
165
Integrations
104
Data Management
91
Easy Integrations
88
Cons
Learning Curve
55
Missing Features
52
Steep Learning Curve
52
Expensive
49
Performance Issues
36
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.2
Data Observability
Average: 8.9
8.2
Testing capabilities
Average: 8.6
8.8
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
76,320 Twitter followers
LinkedIn® Page
www.linkedin.com
9,769 employees on LinkedIn®
(62)4.9 out of 5
1st Easiest To Use in DataOps Platforms software
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Entry Level Price:Starting at $2.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    5X is an all-in-one data platform. We give you everything you need to centralize, clean, model, and analyze your data. The customer feedback we get most often is, "This is self-explanatory," and "It'

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 56% Mid-Market
    • 37% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • 5X Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    38
    Customer Support
    29
    Features
    19
    Cost-Effective
    13
    User Interface
    12
    Cons
    Feature Limitations
    5
    Missing Features
    3
    Data Management
    1
    Difficult Setup
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • 5X features and usability ratings that predict user satisfaction
    9.0
    Data Observability
    Average: 8.9
    8.9
    Testing capabilities
    Average: 8.6
    9.6
    Ease of Use
    Average: 9.2
    6.9
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    5X
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco
    Twitter
    @DataWith5x
    48 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    110 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

5X is an all-in-one data platform. We give you everything you need to centralize, clean, model, and analyze your data. The customer feedback we get most often is, "This is self-explanatory," and "It'

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 56% Mid-Market
  • 37% Small-Business
5X Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
38
Customer Support
29
Features
19
Cost-Effective
13
User Interface
12
Cons
Feature Limitations
5
Missing Features
3
Data Management
1
Difficult Setup
1
Expensive
1
5X features and usability ratings that predict user satisfaction
9.0
Data Observability
Average: 8.9
8.9
Testing capabilities
Average: 8.6
9.6
Ease of Use
Average: 9.2
6.9
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
5X
Company Website
Year Founded
2020
HQ Location
San Francisco
Twitter
@DataWith5x
48 Twitter followers
LinkedIn® Page
www.linkedin.com
110 employees on LinkedIn®

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(368)4.6 out of 5
2nd Easiest To Use in DataOps Platforms software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hightouch is the leading Composable CDP that empowers companies to activate their data warehouse to power personalized marketing and business operations. Trusted by leading organizations like PetSmart

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 64% Mid-Market
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hightouch Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    30
    Integrations
    16
    Platform Integration
    16
    Easy Setup
    14
    Customer Support
    12
    Cons
    Expensive
    10
    Sync Issues
    9
    Syncing Issues
    7
    Learning Curve
    6
    Missing Features
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hightouch features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.9
    8.1
    Testing capabilities
    Average: 8.6
    9.2
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hightouch
    Company Website
    Year Founded
    2021
    HQ Location
    San Francisco, US
    Twitter
    @HightouchData
    2,536 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    260 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hightouch is the leading Composable CDP that empowers companies to activate their data warehouse to power personalized marketing and business operations. Trusted by leading organizations like PetSmart

Users
  • Data Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 64% Mid-Market
  • 25% Small-Business
Hightouch Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
30
Integrations
16
Platform Integration
16
Easy Setup
14
Customer Support
12
Cons
Expensive
10
Sync Issues
9
Syncing Issues
7
Learning Curve
6
Missing Features
5
Hightouch features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.9
8.1
Testing capabilities
Average: 8.6
9.2
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Hightouch
Company Website
Year Founded
2021
HQ Location
San Francisco, US
Twitter
@HightouchData
2,536 Twitter followers
LinkedIn® Page
www.linkedin.com
260 employees on LinkedIn®
(356)4.4 out of 5
10th Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    As businesses increasingly rely on data to power digital products and drive better decision making, it’s mission-critical that this data is accurate and reliable. Monte Carlo’s Data Observability Plat

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 47% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Monte Carlo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    150
    Monitoring
    121
    Alerts
    104
    Customer Support
    85
    Alerting System
    79
    Cons
    Alert Overload
    59
    Poor User Interface
    55
    Alert Management
    54
    Inefficient Alert System
    53
    Missing Features
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    9.1
    Data Observability
    Average: 8.9
    7.5
    Testing capabilities
    Average: 8.6
    8.3
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,554 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    400 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

As businesses increasingly rely on data to power digital products and drive better decision making, it’s mission-critical that this data is accurate and reliable. Monte Carlo’s Data Observability Plat

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 47% Enterprise
Monte Carlo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
150
Monitoring
121
Alerts
104
Customer Support
85
Alerting System
79
Cons
Alert Overload
59
Poor User Interface
55
Alert Management
54
Inefficient Alert System
53
Missing Features
39
Monte Carlo features and usability ratings that predict user satisfaction
9.1
Data Observability
Average: 8.9
7.5
Testing capabilities
Average: 8.6
8.3
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,554 Twitter followers
LinkedIn® Page
www.linkedin.com
400 employees on LinkedIn®
(116)4.5 out of 5
Optimized for quick response
9th Easiest To Use in DataOps Platforms software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 54% Mid-Market
    • 40% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Atlan Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    32
    User Interface
    25
    Features
    20
    Data Lineage
    19
    User Experience
    18
    Cons
    Limited Functionality
    11
    Missing Features
    11
    Lacking Features
    10
    Integration Issues
    7
    Data Lineage Issues
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Atlan features and usability ratings that predict user satisfaction
    8.5
    Data Observability
    Average: 8.9
    7.4
    Testing capabilities
    Average: 8.6
    9.0
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Atlan
    Company Website
    Year Founded
    2019
    HQ Location
    New York, US
    Twitter
    @AtlanHQ
    9,470 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    434 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 54% Mid-Market
  • 40% Enterprise
Atlan Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
32
User Interface
25
Features
20
Data Lineage
19
User Experience
18
Cons
Limited Functionality
11
Missing Features
11
Lacking Features
10
Integration Issues
7
Data Lineage Issues
6
Atlan features and usability ratings that predict user satisfaction
8.5
Data Observability
Average: 8.9
7.4
Testing capabilities
Average: 8.6
9.0
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Atlan
Company Website
Year Founded
2019
HQ Location
New York, US
Twitter
@AtlanHQ
9,470 Twitter followers
LinkedIn® Page
in.linkedin.com
434 employees on LinkedIn®
(159)4.8 out of 5
7th Easiest To Use in DataOps Platforms software
View top Consulting Services for dbt
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

    Users
    • Analytics Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Mid-Market
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • dbt Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    30
    Features
    23
    Transformation
    16
    Integrations
    13
    Analytics
    12
    Cons
    Feature Limitations
    13
    Missing Features
    12
    Limited Functionality
    10
    Learning Curve
    7
    Learning Difficulty
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.6
    Data Observability
    Average: 8.9
    8.9
    Testing capabilities
    Average: 8.6
    9.0
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    dbt Labs
    Company Website
    Year Founded
    2016
    HQ Location
    Philadelphia, US
    Twitter
    @getdbt
    13,108 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    535 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

Users
  • Analytics Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Mid-Market
  • 25% Small-Business
dbt Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
30
Features
23
Transformation
16
Integrations
13
Analytics
12
Cons
Feature Limitations
13
Missing Features
12
Limited Functionality
10
Learning Curve
7
Learning Difficulty
7
dbt features and usability ratings that predict user satisfaction
8.6
Data Observability
Average: 8.9
8.9
Testing capabilities
Average: 8.6
9.0
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
dbt Labs
Company Website
Year Founded
2016
HQ Location
Philadelphia, US
Twitter
@getdbt
13,108 Twitter followers
LinkedIn® Page
www.linkedin.com
535 employees on LinkedIn®
(105)4.6 out of 5
Optimized for quick response
4th Easiest To Use in DataOps Platforms software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientist

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Mid-Market
    • 37% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Astro by Astronomer Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    9
    Customer Support
    7
    Easy Setup
    7
    Deployment Ease
    6
    Implementation Ease
    6
    Cons
    Feature Limitations
    5
    Limited Features
    4
    Cloud Limitations
    3
    Lacking Features
    3
    Missing Features
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Astro by Astronomer features and usability ratings that predict user satisfaction
    8.6
    Data Observability
    Average: 8.9
    8.3
    Testing capabilities
    Average: 8.6
    9.0
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @astronomerio
    5,573 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    320 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientist

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Mid-Market
  • 37% Enterprise
Astro by Astronomer Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
9
Customer Support
7
Easy Setup
7
Deployment Ease
6
Implementation Ease
6
Cons
Feature Limitations
5
Limited Features
4
Cloud Limitations
3
Lacking Features
3
Missing Features
3
Astro by Astronomer features and usability ratings that predict user satisfaction
8.6
Data Observability
Average: 8.9
8.3
Testing capabilities
Average: 8.6
9.0
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@astronomerio
5,573 Twitter followers
LinkedIn® Page
www.linkedin.com
320 employees on LinkedIn®
(38)4.5 out of 5
Optimized for quick response
11th Easiest To Use in DataOps Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Acceldata provides a robust Data Observability platform for enterprise customers seeking a modern, scalable platform to improve data operations in the AI age and deliver trusted data. Our platform enc

    Users
    No information available
    Industries
    • Computer Software
    • Telecommunications
    Market Segment
    • 66% Enterprise
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Acceldata Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    12
    Ease of Use
    12
    Features
    9
    Efficiency Improvement
    8
    Monitoring
    8
    Cons
    Poor User Interface
    7
    Poor UI
    5
    Poor Customer Support
    4
    Complex Usability
    3
    Limited Functionality
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Acceldata features and usability ratings that predict user satisfaction
    9.4
    Data Observability
    Average: 8.9
    7.5
    Testing capabilities
    Average: 8.6
    8.6
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Acceldata
    Company Website
    Year Founded
    2018
    HQ Location
    Campbell, CA
    Twitter
    @acceldataio
    331 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    263 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Acceldata provides a robust Data Observability platform for enterprise customers seeking a modern, scalable platform to improve data operations in the AI age and deliver trusted data. Our platform enc

Users
No information available
Industries
  • Computer Software
  • Telecommunications
Market Segment
  • 66% Enterprise
  • 24% Mid-Market
Acceldata Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
12
Ease of Use
12
Features
9
Efficiency Improvement
8
Monitoring
8
Cons
Poor User Interface
7
Poor UI
5
Poor Customer Support
4
Complex Usability
3
Limited Functionality
3
Acceldata features and usability ratings that predict user satisfaction
9.4
Data Observability
Average: 8.9
7.5
Testing capabilities
Average: 8.6
8.6
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Acceldata
Company Website
Year Founded
2018
HQ Location
Campbell, CA
Twitter
@acceldataio
331 Twitter followers
LinkedIn® Page
www.linkedin.com
263 employees on LinkedIn®
(337)4.5 out of 5
Optimized for quick response
5th Easiest To Use in DataOps Platforms software
View top Consulting Services for Census
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Census is the first Universal Data Platform that brings data transformation, activation, and governance into one collaborative workspace. Leading enterprises including HubSpot, Activision, Canva, Oran

    Users
    • Data Analyst
    • Analytics Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 62% Mid-Market
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Census Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    24
    Integrations
    11
    Easy Integration
    9
    Easy Integrations
    9
    Easy Setup
    9
    Cons
    Feature Limitations
    6
    Expensive
    5
    Missing Features
    5
    Limitations
    4
    Confusing Changes
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Census features and usability ratings that predict user satisfaction
    8.4
    Data Observability
    Average: 8.9
    8.6
    Testing capabilities
    Average: 8.6
    9.0
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Census
    Company Website
    Year Founded
    2018
    HQ Location
    San Francisco, US
    Twitter
    @census
    1,989 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    176 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Census is the first Universal Data Platform that brings data transformation, activation, and governance into one collaborative workspace. Leading enterprises including HubSpot, Activision, Canva, Oran

Users
  • Data Analyst
  • Analytics Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 62% Mid-Market
  • 24% Small-Business
Census Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
24
Integrations
11
Easy Integration
9
Easy Integrations
9
Easy Setup
9
Cons
Feature Limitations
6
Expensive
5
Missing Features
5
Limitations
4
Confusing Changes
3
Census features and usability ratings that predict user satisfaction
8.4
Data Observability
Average: 8.9
8.6
Testing capabilities
Average: 8.6
9.0
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Census
Company Website
Year Founded
2018
HQ Location
San Francisco, US
Twitter
@census
1,989 Twitter followers
LinkedIn® Page
www.linkedin.com
176 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CastorDoc is a collaborative, automated data discovery & catalog tool. We believe that data people spend way too much time trying to find and understand their data. CastorDoc redesigns how dat

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 60% Mid-Market
    • 26% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CastorDoc Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Centralized Management
    1
    Collaboration
    1
    Data Governance
    1
    Data Lineage
    1
    Data Quality
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CastorDoc features and usability ratings that predict user satisfaction
    8.3
    Data Observability
    Average: 8.9
    8.1
    Testing capabilities
    Average: 8.6
    9.6
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Castor
    Company Website
    Year Founded
    2020
    HQ Location
    New York City, New York
    Twitter
    @castordoc_data
    477 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    55 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CastorDoc is a collaborative, automated data discovery & catalog tool. We believe that data people spend way too much time trying to find and understand their data. CastorDoc redesigns how dat

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 60% Mid-Market
  • 26% Enterprise
CastorDoc Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Centralized Management
1
Collaboration
1
Data Governance
1
Data Lineage
1
Data Quality
1
Cons
This product has not yet received any negative sentiments.
CastorDoc features and usability ratings that predict user satisfaction
8.3
Data Observability
Average: 8.9
8.1
Testing capabilities
Average: 8.6
9.6
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Castor
Company Website
Year Founded
2020
HQ Location
New York City, New York
Twitter
@castordoc_data
477 Twitter followers
LinkedIn® Page
www.linkedin.com
55 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Y42’s Turnkey Data Orchestration Platform with embedded Observability gives data practitioners a unified space to reliably build, monitor, and maintain the flow of data to power their business analyti

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 52% Small-Business
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Y42 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    6
    Customer Support
    4
    Data Management
    4
    Features
    4
    Customization
    3
    Cons
    Learning Curve
    2
    Learning Difficulty
    2
    Steep Learning Curve
    2
    Technical Issues
    2
    API Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Y42 features and usability ratings that predict user satisfaction
    9.2
    Data Observability
    Average: 8.9
    9.6
    Testing capabilities
    Average: 8.6
    9.4
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Y42
    Year Founded
    2020
    HQ Location
    Berlin, DE
    Twitter
    @y42dotcom
    287 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    50 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Y42’s Turnkey Data Orchestration Platform with embedded Observability gives data practitioners a unified space to reliably build, monitor, and maintain the flow of data to power their business analyti

Users
No information available
Industries
No information available
Market Segment
  • 52% Small-Business
  • 38% Mid-Market
Y42 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
6
Customer Support
4
Data Management
4
Features
4
Customization
3
Cons
Learning Curve
2
Learning Difficulty
2
Steep Learning Curve
2
Technical Issues
2
API Limitations
1
Y42 features and usability ratings that predict user satisfaction
9.2
Data Observability
Average: 8.9
9.6
Testing capabilities
Average: 8.6
9.4
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Y42
Year Founded
2020
HQ Location
Berlin, DE
Twitter
@y42dotcom
287 Twitter followers
LinkedIn® Page
www.linkedin.com
50 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Peliqan.io is an all-in-one data platform for business teams, startups, scale-ups and IT service companies - no data engineer needed. Easily connect to databases, data warehouses and SaaS business app

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 61% Small-Business
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Peliqan Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Integrations
    12
    Data Management
    10
    SQL Queries
    10
    Time-saving
    10
    Cons
    Feature Limitations
    8
    Learning Difficulty
    8
    Required Technical Skills
    6
    Lack of Features
    5
    Missing Features
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Peliqan features and usability ratings that predict user satisfaction
    8.7
    Data Observability
    Average: 8.9
    9.3
    Testing capabilities
    Average: 8.6
    9.3
    Ease of Use
    Average: 9.2
    5.8
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Peliqan
    Year Founded
    2022
    HQ Location
    Gent
    Twitter
    @Peliqan_io
    8 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Peliqan.io is an all-in-one data platform for business teams, startups, scale-ups and IT service companies - no data engineer needed. Easily connect to databases, data warehouses and SaaS business app

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 61% Small-Business
  • 32% Mid-Market
Peliqan Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Integrations
12
Data Management
10
SQL Queries
10
Time-saving
10
Cons
Feature Limitations
8
Learning Difficulty
8
Required Technical Skills
6
Lack of Features
5
Missing Features
4
Peliqan features and usability ratings that predict user satisfaction
8.7
Data Observability
Average: 8.9
9.3
Testing capabilities
Average: 8.6
9.3
Ease of Use
Average: 9.2
5.8
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Peliqan
Year Founded
2022
HQ Location
Gent
Twitter
@Peliqan_io
8 Twitter followers
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
(68)4.6 out of 5
Optimized for quick response
3rd Easiest To Use in DataOps Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 53% Small-Business
    • 47% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Mozart Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    11
    Setup Ease
    7
    Customer Support
    6
    Easy Setup
    6
    Easy Integrations
    4
    Cons
    Learning Curve
    2
    SQL Knowledge Requirement
    2
    SQL Limitations
    2
    Confusing Changes
    1
    Confusing Usability
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mozart Data features and usability ratings that predict user satisfaction
    8.7
    Data Observability
    Average: 8.9
    8.0
    Testing capabilities
    Average: 8.6
    9.3
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @MozartData
    435 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 53% Small-Business
  • 47% Mid-Market
Mozart Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
11
Setup Ease
7
Customer Support
6
Easy Setup
6
Easy Integrations
4
Cons
Learning Curve
2
SQL Knowledge Requirement
2
SQL Limitations
2
Confusing Changes
1
Confusing Usability
1
Mozart Data features and usability ratings that predict user satisfaction
8.7
Data Observability
Average: 8.9
8.0
Testing capabilities
Average: 8.6
9.3
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@MozartData
435 Twitter followers
LinkedIn® Page
www.linkedin.com
19 employees on LinkedIn®
Entry Level Price:Starting at $79.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With Weld, you can sync and analyze your data with AI in minutes. Get data from all your favorite sources, including Facebook Ads, Google Ads, Shopify, Hubspot, Salesforce, Klaviyo, Excel, and Goog

    Users
    • CEO
    Industries
    • Retail
    • Computer Software
    Market Segment
    • 56% Small-Business
    • 43% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Weld Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    34
    Customer Support
    25
    Data Management
    15
    Easy Setup
    15
    Connectors
    14
    Cons
    Feature Limitations
    9
    Limited Connectors
    9
    Limited Integrations
    7
    Missing Features
    7
    Connectivity Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Weld features and usability ratings that predict user satisfaction
    8.3
    Data Observability
    Average: 8.9
    8.1
    Testing capabilities
    Average: 8.6
    8.7
    Ease of Use
    Average: 9.2
    6.7
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Weld
    Year Founded
    2021
    HQ Location
    Copenhagen, DK
    Twitter
    @WeldHQ
    95 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    73 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With Weld, you can sync and analyze your data with AI in minutes. Get data from all your favorite sources, including Facebook Ads, Google Ads, Shopify, Hubspot, Salesforce, Klaviyo, Excel, and Goog

Users
  • CEO
Industries
  • Retail
  • Computer Software
Market Segment
  • 56% Small-Business
  • 43% Mid-Market
Weld Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
34
Customer Support
25
Data Management
15
Easy Setup
15
Connectors
14
Cons
Feature Limitations
9
Limited Connectors
9
Limited Integrations
7
Missing Features
7
Connectivity Issues
5
Weld features and usability ratings that predict user satisfaction
8.3
Data Observability
Average: 8.9
8.1
Testing capabilities
Average: 8.6
8.7
Ease of Use
Average: 9.2
6.7
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Weld
Year Founded
2021
HQ Location
Copenhagen, DK
Twitter
@WeldHQ
95 Twitter followers
LinkedIn® Page
www.linkedin.com
73 employees on LinkedIn®
(93)4.7 out of 5
6th Easiest To Use in DataOps Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Keboola is an end-to-end Data Stack as a Service. It helps its customers to connect any database and perform extraction, transformation, data management, pipeline orchestration, and even reverse ETL,

    Users
    • Data Analyst
    Industries
    • Information Technology and Services
    • Media Production
    Market Segment
    • 72% Mid-Market
    • 16% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Keboola Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Automation
    3
    Data Management
    3
    Integrations
    3
    No-coding
    3
    Cons
    Complexity
    1
    Cost Estimation
    1
    Data Limitations
    1
    Data Lineage Issues
    1
    Data Management
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Keboola features and usability ratings that predict user satisfaction
    8.5
    Data Observability
    Average: 8.9
    7.7
    Testing capabilities
    Average: 8.6
    8.9
    Ease of Use
    Average: 9.2
    10.0
    What is your organization's estimated ROI on the product (payback period in months)?
    Average: 10
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Keboola
    Company Website
    Year Founded
    2008
    HQ Location
    Prague
    Twitter
    @keboola
    2,009 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    153 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Keboola is an end-to-end Data Stack as a Service. It helps its customers to connect any database and perform extraction, transformation, data management, pipeline orchestration, and even reverse ETL,

Users
  • Data Analyst
Industries
  • Information Technology and Services
  • Media Production
Market Segment
  • 72% Mid-Market
  • 16% Small-Business
Keboola Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Automation
3
Data Management
3
Integrations
3
No-coding
3
Cons
Complexity
1
Cost Estimation
1
Data Limitations
1
Data Lineage Issues
1
Data Management
1
Keboola features and usability ratings that predict user satisfaction
8.5
Data Observability
Average: 8.9
7.7
Testing capabilities
Average: 8.6
8.9
Ease of Use
Average: 9.2
10.0
What is your organization's estimated ROI on the product (payback period in months)?
Average: 10
Seller Details
Seller
Keboola
Company Website
Year Founded
2008
HQ Location
Prague
Twitter
@keboola
2,009 Twitter followers
LinkedIn® Page
www.linkedin.com
153 employees on LinkedIn®