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- Databricks Data Intelligence Platform-vs-Google Cloud BigQuery
Compare Databricks Data Intelligence Platform and Google Cloud BigQuery 
At a Glance
Market Segments
Enterprise (47.6% of reviews)
Enterprise (39.8% of reviews)
Entry-Level Pricing
No pricing available
Free
Databricks Data Intelligence Platform
Star Rating
(405)4.6 out of 5
Market Segments
Enterprise (47.6% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformGoogle Cloud BigQuery
Star Rating
(1,100)4.5 out of 5
Market Segments
Enterprise (39.8% of reviews)
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data integration with a score of 9.0, allowing seamless connections to various data sources, while Databricks Data Intelligence Platform also scores well at 9.0 but is noted for its data lake integration capabilities, which users find particularly beneficial for large-scale data management.
- Reviewers mention that Google Cloud BigQuery's real-time analytics feature scores 8.8, making it a strong choice for businesses needing immediate insights, whereas Databricks offers a slightly lower score of 8.5 in this area, indicating a potential gap in real-time processing capabilities.
- G2 users highlight that Google Cloud BigQuery's data lineage functionality scores an impressive 8.8, which helps users track data flow and transformations effectively. In contrast, Databricks scores 8.4, suggesting that while it offers data lineage, it may not be as robust as BigQuery's offering.
- Users on G2 report that Databricks shines in machine learning services, particularly with its deep learning capabilities scoring 8.3, which is essential for advanced analytics. Google Cloud BigQuery, while strong in analytics, scores lower in this specific area, indicating a more limited focus on machine learning.
- Reviewers mention that Google Cloud BigQuery's cloud deployment capabilities are rated at 9.1, showcasing its strength in cloud-based solutions. Databricks, while also strong, scores slightly lower at 8.9, which may influence users looking for a fully cloud-native experience.
- Users say that both platforms offer solid support, with Google Cloud BigQuery scoring 8.3 and Databricks slightly higher at 8.4. However, users note that Databricks provides more comprehensive resources for troubleshooting and community support, making it a preferred choice for some users.
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableGoogle Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
Free Trial
Databricks Data Intelligence Platform
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.8
299
8.8
521
Ease of Use
8.8
301
8.7
532
Ease of Setup
8.5
186
8.7
293
Ease of Admin
8.1
89
8.6
201
Quality of Support
8.5
279
8.3
479
Has the product been a good partner in doing business?
8.5
89
8.7
194
Product Direction (% positive)
9.5
285
9.2
509
Features by Category
Administration
8.3
19
Not enough data
8.8
18
Not enough data
8.9
20
Not enough data
8.6
21
Not enough data
Management
8.5
19
Not enough data
8.7
19
Not enough data
8.8
19
Not enough data
8.4
19
Not enough data
9.0
19
Not enough data
Compliance
8.7
20
Not enough data
8.5
19
Not enough data
8.7
19
Not enough data
8.1
18
Not enough data
Security
8.8
18
Not enough data
8.9
19
Not enough data
8.9
19
Not enough data
Data Quality
8.8
19
Not enough data
8.2
19
Not enough data
8.9
19
Not enough data
Maintainence
8.7
19
Not enough data
8.5
19
Not enough data
Generative AI
8.3
19
Not enough data
8.8
19
Not enough data
Management
8.3
85
8.5
62
8.3
81
8.2
60
Functionality
9.1
88
8.8
60
9.3
89
8.9
63
9.1
90
9.0
63
8.9
83
8.9
64
9.1
86
9.3
63
Deployment
8.8
35
Not enough data
8.7
36
Not enough data
8.6
37
Not enough data
8.7
37
Not enough data
8.7
37
Not enough data
Deployment
8.6
34
Not enough data
8.5
35
Not enough data
8.3
39
Not enough data
8.7
38
Not enough data
8.9
38
Not enough data
Management
8.8
34
Not enough data
8.6
35
Not enough data
9.2
31
Not enough data
8.9
39
Not enough data
Operations
8.4
35
Not enough data
8.6
34
Not enough data
8.8
35
Not enough data
Management
8.7
35
Not enough data
8.3
34
Not enough data
9.2
32
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.8
93
Not enough data
8.6
88
Not enough data
7.7
89
Not enough data
Model Development
8.7
83
Not enough data
7.8
90
Not enough data
8.3
88
Not enough data
8.8
90
Not enough data
Model Development
8.4
87
Not enough data
8.7
92
Not enough data
8.5
90
Not enough data
Machine/Deep Learning Services
8.2
79
Not enough data
8.6
84
Not enough data
8.2
77
Not enough data
8.1
80
Not enough data
Machine/Deep Learning Services
8.1
79
Not enough data
8.3
80
Not enough data
8.1
79
Not enough data
8.4
81
Not enough data
Deployment
8.4
84
Not enough data
8.7
88
Not enough data
8.8
92
Not enough data
Deployment
8.4
86
Not enough data
8.6
92
Not enough data
8.8
92
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Management
9.0
114
|
Verified
8.9
134
|
Verified
8.8
113
|
Verified
8.2
127
|
Verified
8.6
109
|
Verified
8.8
131
|
Verified
8.5
111
|
Verified
8.5
127
|
Verified
8.5
101
|
Verified
8.2
116
|
Verified
8.9
105
|
Verified
8.7
118
|
Verified
Integration
8.7
100
|
Verified
8.4
117
|
Verified
8.6
101
|
Verified
8.6
129
|
Verified
8.9
110
|
Verified
8.5
117
|
Verified
Deployment
7.6
90
|
Verified
7.7
105
|
Verified
9.0
111
|
Verified
9.0
128
|
Verified
Performance
9.0
112
|
Verified
9.1
132
|
Verified
Security
8.5
103
|
Verified
8.8
124
|
Verified
8.6
104
|
Verified
9.1
129
|
Verified
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Storage
Not enough data
8.9
49
Not enough data
8.8
48
Availability
Not enough data
8.6
42
Not enough data
8.6
45
Not enough data
8.5
47
Performance
Not enough data
8.7
45
Security
Not enough data
8.5
49
Not enough data
8.6
48
Not enough data
8.4
47
Not enough data
8.6
43
Support
Not enough data
8.7
45
Not enough data
8.8
43
Data Management
9.0
34
Not enough data
8.3
33
Not enough data
8.4
34
Not enough data
9.0
32
Not enough data
Analytics
8.6
32
Not enough data
8.4
31
Not enough data
Monitoring and Management
8.2
32
Not enough data
8.2
32
Not enough data
Cloud Deployment
9.2
29
Not enough data
9.1
29
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Centralized computation
Not enough data
8.8
7
Localized computation
Not enough data
8.6
7
Statistical Tool
Not enough data
8.6
46
Not enough data
8.9
48
Not enough data
8.8
47
Data Analysis
Not enough data
9.2
46
Not enough data
9.0
47
Decision Making
Not enough data
8.8
48
Not enough data
8.5
47
Not enough data
8.5
48
Not enough data
8.5
46
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Marketing Operations
Not enough data
8.8
46
Not enough data
9.0
44
Not enough data
9.0
45
Not enough data
9.4
46
Not enough data
9.0
43
Not enough data
8.5
43
Campaign Activity
Not enough data
9.0
48
Not enough data
9.4
47
Not enough data
8.6
44
Not enough data
9.2
42
Not enough data
8.9
44
Not enough data
9.1
45
Database
8.5
113
8.6
125
8.8
120
8.7
123
9.1
120
8.5
117
Integrations
8.3
105
8.0
87
9.1
122
8.3
84
Platform
8.9
116
8.6
100
8.7
120
8.7
115
9.1
122
8.3
84
Processing
8.9
119
9.2
117
8.9
119
9.0
111
Data Transformation
8.6
134
8.8
217
8.9
141
9.3
224
Connectivity
8.5
118
8.1
186
9.1
140
8.2
185
8.9
132
8.7
212
9.1
141
8.8
204
Operations
8.2
139
8.5
215
8.7
134
8.7
211
8.4
122
8.4
190
8.5
122
8.4
197
9.3
136
8.5
188
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Databricks Data Intelligence Platform and Google Cloud BigQuery are categorized as ETL Tools, Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, Data Science and Machine Learning Platforms, and Data Governance
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, Marketing Analytics, Predictive Analytics, and Data Clean Room
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
15.0%
Computer Software
10.4%
Financial Services
8.1%
Marketing and Advertising
4.8%
Consulting
4.1%
Other
57.5%
Information Technology and Services
14.1%
Computer Software
13.6%
Retail
7.6%
Financial Services
7.1%
Marketing and Advertising
5.4%
Other
52.2%
Most Helpful Reviews
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Verified User in Hospital & Health Care
I dont like that i cant install driver and items on clusters to be used by multiple users I also dont like that a lot of the GEN AI items (transformers, hosting own models, fine-tuning) doesnt work with the given examples from databricks - makes...
Google Cloud BigQuery
Most Helpful Favorable Review
Verified User in Information Technology and Services
I liked most about Google cloud BigQuery is it's built in machine learning capabilities, helping to train models with the available data.
Most Helpful Critical Review
Ravi B.
Verified User in Marketing and Advertising
this should be used individually, why to use BigTable for staging when it is too cosytly
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Verified User in Information Technology and Services
I liked most about Google cloud BigQuery is it's built in machine learning capabilities, helping to train models with the available data.
Verified User in Hospital & Health Care
I dont like that i cant install driver and items on clusters to be used by multiple users I also dont like that a lot of the GEN AI items (transformers, hosting own models, fine-tuning) doesnt work with the given examples from databricks - makes...
Ravi B.
Verified User in Marketing and Advertising
this should be used individually, why to use BigTable for staging when it is too cosytly
Alternatives
Discussions
What is Lakehouse in Databricks?
4 comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
3 comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What does Databricks software do?
2 comments
BR
Databricks is a unified analytics platform and it help us to connect the different sources of data and process it to the single platform which store, share...Read more
Is BigQuery part of Google Cloud Platform?
2 comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
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