Azure Data Lake Analytics vs. Azure Synapse Analytics Comparison


Azure Data Lake Analytics Microsoft	Azure Synapse Analytics Microsoft	+	+
Learn More Update Features	Learn More Update Features	Add To Compare	Add To Compare


		Related Products Teradata VantageCloud Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. 992 Ratings Visit Website MongoDB Atlas The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more. 1,649 Ratings Visit Website AnalyticsCreator AnalyticsCreator is a metadata-driven data warehouse automation solution built specifically for teams working within the Microsoft data ecosystem. It helps organizations speed up the delivery of production-ready data products by automating the entire data engineering lifecycle—from ELT pipeline generation and dimensional modeling to historization and semantic model creation for platforms like Microsoft SQL Server, Azure Synapse Analytics, and Microsoft Fabric. By eliminating repetitive manual coding and reducing the need for multiple disconnected tools, AnalyticsCreator helps data teams reduce tool sprawl and enforce consistent modeling standards across projects. The solution includes built-in support for automated documentation, lineage tracking, schema evolution, and CI/CD integration with Azure DevOps and GitHub. Whether you’re working on data marts, data products, or full-scale enterprise data warehouses, AnalyticsCreator allows you to build faster, govern better, and deliver 46 Ratings Visit Website Google Cloud Platform Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging. 60,456 Ratings Visit Website Google Cloud BigQuery BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process. 1,939 Ratings Visit Website dbt dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence. 227 Ratings Visit Website DataBuck DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world. 6 Ratings Visit Website AdRem NetCrunch NetCrunch is a powerful, scalable, all-in-one network monitoring system built for modern IT environments. It supports agentless monitoring of thousands of devices, covering SNMP, servers, virtualization (VMware, Hyper-V), cloud (AWS, Azure, GCP), traffic flows (NetFlow, sFlow), logs, and custom data via REST or scripts. With 670+ monitoring packs and dynamic views, it automates discovery, configuration, alerting, and automates self-healing actions for efficient remote remediation in response to alerts. Its node-based licensing eliminates sensor sprawl and complexity, providing a clear, cost-effective path to scale. Real-time dashboards, policy-driven setup, advanced alert tuning and 40+ alert actions including remote script execution, service restart, process kill or device reboot-make NetCrunch ideal for organizations replacing legacy tools like PRTG, SolarWinds, or WhatsUp Gold. Fast to deploy and future-proof. Can be installed on-prem, self-hosted in the cloud, or mixed. 156 Ratings Visit Website TruGrid TruGrid SecureRDP secures access to Windows desktops and applications from any location. It is a DaaS solution that employs a Zero Trust model without firewall exposure. Key Benefits of TruGrid SecureRDP: - No Firewall Exposure & No VPN Required: Secure remote access without exposing inbound firewall ports - Zero Trust Security Model: Ensures that only pre-authenticated users can connect, mitigating ransomware risks - Cloud-Based Authentication: Eliminates the need for RDS gateways, SSL certificates, or third-party MFA solutions - Optimized Performance: Built-in fiber-optic mesh technology reduces latency - Simple Deployment & Multi-Tenant Management: Implements in less than an hour and includes a multi-tenant dashboard - Integrated MFA & Azure AD Support: Includes built-in MFA and integrates with Azure MFA & AD - Cross-Platform Support: Works on Windows, Mac, iOS, Android, and Chrome - 24x7 Support & Free Setup: Includes 24x7 support and free setup assistance 75 Ratings Visit Website Project Insight Project Insight is project and portfolio management software built for growing teams and businesses. It brings all your project work together from across departments and software tools, helping you streamline workflows, automate processes, and make faster, more accurate decisions with real-time data. Manage work dynamically at the project, program, and portfolio levels to keep teams aligned and focused on strategic goals. Roll up details like status, resources, budgets, and risks instantly, so you can stay ahead of challenges and drive results. Connect Project Insight with the tools you already use — including Azure DevOps, Jira, Microsoft Project, Salesforce, and ServiceNow — to reduce manual work, break down silos, and improve collaboration across your organization. Leverage AI to predict future capacity, balance workloads, and suggest the best resources for every project. Use AI-powered search to quickly surface project data and keep work moving forward. 101 Ratings Visit Website
About Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, and .NET over petabytes of data. With no infrastructure to manage, you can process data on demand, scale instantly, and only pay per job. Process big data jobs in seconds with Azure Data Lake Analytics. There is no infrastructure to worry about because there are no servers, virtual machines, or clusters to wait for, manage, or tune. Instantly scale the processing power, measured in Azure Data Lake Analytics Units (AU), from one to thousands for each job. You only pay for the processing that you use per job. Act on all of your data with optimized data virtualization of your relational sources such as Azure SQL Database and Azure Synapse Analytics. Your queries are automatically optimized by moving processing close to the source data without data movement, which maximizes performance and minimizes latency.	About Azure Synapse is Azure SQL Data Warehouse evolved. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Organizations searching for a distributed analytics service	Audience IT and data teams searching for a powerful Data Warehouse solution
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $2 per hour Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 3.0 / 5 ease 3.0 / 5 features 2.0 / 5 design 4.0 / 5 support 2.0 / 5 Read all reviews
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/services/data-lake-analytics/	Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/services/synapse-analytics/
Alternatives Azure Synapse Analytics Microsoft	Alternatives Teradata VantageCloud Teradata
Azure HDInsight Microsoft	Amazon Redshift Amazon
Dimodelo	Snowflake
Azure Blob Storage Microsoft	Google Cloud BigQuery Google
Azure Databricks Microsoft View All	Databricks Data Intelligence Platform Databricks View All
Categories Big Data	Categories Big Data Columnar Databases Data Analysis Data Engineering Data Management Data Preparation Data Science Data Warehouse Database ETL OLAP Databases Predictive Analytics
	Show More Features Data Warehouse Features Ad hoc Query Analytics Data Integration Data Migration Data Quality Control ETL - Extract / Transfer / Load In-Memory Processing Match & Merge
Integrations Azure Data Lake Azure Data Share Azure Marketplace CData Sync ClicData DataOps DataFlow HoneyHive ID Privacy AI Immuta Microsoft Azure Microsoft Customer Lockbox Openbridge Pantomath PopSQL Progress DataDirect Querona Satori Stitch Tailor Velotix Show More Integrations View All 3 Integrations	Integrations Azure Data Lake Azure Data Share Azure Marketplace CData Sync ClicData DataOps DataFlow HoneyHive ID Privacy AI Immuta Microsoft Azure Microsoft Customer Lockbox Openbridge Pantomath PopSQL Progress DataDirect Querona Satori Stitch Tailor Velotix Show More Integrations View All 82 Integrations
Claim Azure Data Lake Analytics and update features and information Claim Azure Data Lake Analytics and update features and information	Claim Azure Synapse Analytics and update features and information Claim Azure Synapse Analytics and update features and information