Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.
Product | Market Share (%) |
---|---|
Microsoft Azure Synapse Analytics | 6.1% |
Snowflake | 17.8% |
Dremio | 10.1% |
Other | 66.0% |
Type | Title | Date | |
---|---|---|---|
Category | Cloud Data Warehouse | Aug 27, 2025 | Download |
Product | Reviews, tips, and advice from real users | Aug 27, 2025 | Download |
Comparison | Microsoft Azure Synapse Analytics vs Snowflake | Aug 27, 2025 | Download |
Comparison | Microsoft Azure Synapse Analytics vs Azure Data Factory | Aug 27, 2025 | Download |
Comparison | Microsoft Azure Synapse Analytics vs BigQuery | Aug 27, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Azure Data Factory | 4.0 | 7.2% | 92% | 92 interviewsAdd to research |
Teradata | 4.1 | 8.7% | 87% | 76 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 26 |
Midsize Enterprise | 17 |
Large Enterprise | 43 |
Company Size | Count |
---|---|
Small Business | 139 |
Midsize Enterprise | 97 |
Large Enterprise | 559 |
Microsoft Azure Synapse Analytics is built with these 4 components:
Microsoft Azure Synapse Analytics Features
Microsoft Azure Synapse Analytics has many valuable key features, including:
Microsoft Azure Synapse Analytics Benefits
Some of the benefits of using Microsoft Azure Synapse Analytics include:
Reviews from Real Users
Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.
PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."
Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."
A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."
Microsoft Azure Synapse Analytics was previously known as Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics.
Toshiba, Carnival, LG Electronics, Jet.com, Adobe,
Author info | Rating | Review Summary |
---|---|---|
Director Information Technology Services at a insurance company with 10,001+ employees | 3.5 | I chose Microsoft Azure Synapse Analytics for its seamless integration with Azure Cloud, simplifying our workflow. While it lacks some advanced features compared to Databricks, it's user-friendly and efficient for our cloud-based needs. |
IT Manager at KONGSBERG | 3.5 | In my organization, Microsoft Azure Synapse Analytics provides significant visibility, helping us manage costs and utilize features efficiently. However, it requires better documentation and more skilled support. We have achieved a 10-15% cost reduction since implementation. |
Data Platform Specialist at Sasol | 4.0 | We run finance and supply chain jobs with SQL BW and visualize data on Power BI, using SQL Data Warehouse for scalability and performance. Transitioning from Teradata to Azure allowed us to reduce licensing costs while exploring improvements with Microsoft Fabric and Databricks. |
Software Architect at T-Systems International GmbH | 4.0 | I primarily use Microsoft Azure Synapse Analytics for data pipelining due to its openness, flexibility, and integration capabilities. It allows seamless data handling with various sources, though offline capabilities would enhance its functionality by enabling work without an internet connection. |
Senior Manager at Sasria SOC Ltd. | 5.0 | We are using Microsoft Azure Synapse Analytics to ingest data from various sources, utilizing Power BI for analytics. Its diverse data source integration is valuable. However, data governance should be included without extra licensing. Financial benefits are currently unquantified. |
Student at University of Derby | 4.0 | I use Microsoft Azure Synapse Analytics for queries, data warehousing, and analytics. The integrated features, like the SQL pool and pipeline, are valuable, though improved schema management tools would enhance workflow. The solution offers a strong ROI and efficiency improvements. |
Technical Lead at Linde | 4.0 | We utilize Microsoft Azure Synapse Analytics to extract and manage enterprise data effectively. Its integration with Power BI is advantageous, and while improvements in data source integration and AI capabilities are anticipated, its scalability shaped our decision to adopt it. |
Senior lead Enterprise Designer Architect at a government with 10,001+ employees | 4.5 | I use Microsoft Azure Synapse Analytics to reduce hardware expenses. It is highly stable and easy to use, though I find that its security performance and cost require improvement. Deployment and cloud provider details weren't specified. |