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Microsoft Azure Synapse Analytics Reviews

Vendor: Microsoft
3.9 out of 5
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What is Microsoft Azure Synapse Analytics?

Microsoft Azure Synapse Analytics integrates data warehousing and big data analytics seamlessly. It provides scalability and user-friendly features for efficient, real-time reporting and data management.

Get the Microsoft Azure Synapse Analytics Buyer's Guide and find out what your peers are saying about Microsoft Azure Synapse Analytics, Databricks, Teradata and more!
Microsoft Azure Synapse Analytics is the #9 ranked solution in top Cloud Data Warehouse solutions. PeerSpot users give Microsoft Azure Synapse Analytics an average rating of 7.8 out of 10. Microsoft Azure Synapse Analytics is most commonly compared to Databricks: Microsoft Azure Synapse Analytics vs Databricks. Microsoft Azure Synapse Analytics is popular among the large enterprise segment, accounting for 56% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 12% of all views.
Buyer's Guide
Microsoft Azure Synapse Analytics
April 2026
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Microsoft Azure Synapse Analytics mindshare

As of April 2026, the mindshare of Microsoft Azure Synapse Analytics in the Cloud Data Warehouse category stands at 5.7%, down from 6.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Synapse Analytics5.7%
Snowflake15.2%
Databricks10.2%
Other68.9%
Cloud Data Warehouse

PeerResearch reports based on Microsoft Azure Synapse Analytics reviews

TypeTitleDate
CategoryCloud Data WarehouseApr 28, 2026Download
ProductReviews, tips, and advice from real usersApr 28, 2026Download
ComparisonMicrosoft Azure Synapse Analytics vs SnowflakeApr 28, 2026Download
ComparisonMicrosoft Azure Synapse Analytics vs TeradataApr 28, 2026Download
ComparisonMicrosoft Azure Synapse Analytics vs BigQueryApr 28, 2026Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.110.2%96%93 interviewsAdd to research
Teradata4.18.5%88%83 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Microsoft Azure Synapse Analytics offers valuable features like easy setup, scalability, parallel processing capability, integration with Power BI, and data handling in petabyte range. Users appreciate its easy administration, serverless flexibility, cost-effectiveness, and integration with Azure services. Its architecture supports both structured and unstructured data, provides strong security features, and facilitates efficient data processing and analytics, enabling comprehensive data visualization and interactive reporting with familiar SQL interfaces. Its integration with Azure Data Factory enhances data transformation capabilities.
  • "For those working in the retail sector, this product can capture all the transactional data throughout a company's stores, process them, and put them into the Azure Synapses."
  • "Scalability is built in; if you're working with a terabyte of data on one day, you can go up to a petabyte the next day, so there's no need to worry about scalability in terms of performance."
  • "The solution offers great flexibility and the resource availability is quite good."

Room for Improvement

Microsoft Azure Synapse Analytics faces several challenges including high cost and complex initial setup. Users seek better Active Directory integration and improved interface navigation. Connectivity limitations and integration with third-party platforms need enhancement. Performance issues, like concurrency and scalability, are common, with requests for superior data governance and incremental machine learning features. Improved documentation and support are necessary, and users desire more intuitive data ingestion and reporting options without excessive technical expertise.
  • "Non-structured data is unavailable with this product."
  • "Synapse Analytics needs to develop an automation framework because now you have to build a cache yourself."
  • "The only concern for us is the cost part. When it comes to the implementation and the support and maintenance, we see high-cost implications."

ROI

Users experienced a positive ROI from Microsoft Azure Synapse Analytics. It saved money with serverless options, reduced operational expenses, and shifted from capital to operational expenditures. Many saw enhanced data efficiency and sales prediction improvements. The platform offered high returns compared to on-premise setups with reduced licensing fees and favorable cost-to-flexibility ratios. While exact metrics are uncommon, user satisfaction is highlighted, with ROI estimates reaching up to 70% over several years.

Pricing

Microsoft Azure Synapse Analytics pricing starts around €1,000 per month for basic usage and can exceed €300,000 for advanced needs. Costs depend heavily on usage, with a pay-as-you-go model leading to variable monthly bills, which can be difficult to predict and manage. Enterprise users find it costly but competitive, particularly when integrated within Microsoft ecosystems. Discounts are available for longer-term commitments, and tools are provided to forecast and manage expenses effectively.
  • "Microsoft Azure Synapse Analytics is a moderately priced solution."
  • "We have a licensing cost to pay."
  • "I would rate the ROI a nine out of ten, where one is zero value and ten is 100% value."

Popular Use Cases

Microsoft Azure Synapse Analytics is primarily utilized for data warehousing and analytics. Organizations use it for data migration, power BI visualization, reporting, and big data processing. Clients leverage it for integrating and transforming data from various sources, enhancing business intelligence, and enabling advanced analytics. Many also implement it for budgeting, forecasting, and applying machine learning models while utilizing its capabilities for efficient high-volume data management in diverse industries.

Service and Support

Customer service for Microsoft Azure Synapse Analytics varies. Some reported fast, knowledgeable support, while others noted delays and insufficient expertise. Larger accounts often receive better assistance. Many clients rely on documentation and self-service tools due to mixed experiences with support staff's responsiveness. Although engagement through account managers is effective, initial contacts can lack necessary skills. Microsoft's community and online resources help resolve many issues independently. Generally, the support level is rated from satisfactory to needing improvement.

Deployment

Most users find the initial setup of Microsoft Azure Synapse Analytics straightforward, with many noting it to be simple and easy. However, it can be complex for those with less experience or without proper guidance. Setup times vary from minutes to several weeks, depending on complexity and environment. Documentation and existing Azure knowledge significantly aid the process. A multi-person team is beneficial for maintenance and configuration.

Scalability

Microsoft Azure Synapse Analytics is highly scalable, with flexibility to expand and accommodate various needs. Users appreciate the ease of scaling, although costs can rapidly rise. The scalability is seamless, accommodating diverse user bases with minimal issues. Its serverless architecture and cloud integration enable efficient adjustments to changing demands. While some have noted potential performance hiccups during scaling, generally, it supports significant data loads and user expansions effectively.

Stability

Microsoft Azure Synapse Analytics is praised for its stability with many users finding it reliable and scalable, handling workloads efficiently without major issues. While a few report glitches and minor outages, especially with large datasets, others highlight improvements over time and rate stability highly. Users appreciate its high performance and note stability as a strong point, giving ratings often between seven to ten, though some suggest it could improve further.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Microsoft Azure Synapse Analytics Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business28
Midsize Enterprise17
Large Enterprise45
By reviewers
By visitors reading reviews
Company SizeCount
Small Business148
Midsize Enterprise68
Large Enterprise273
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Comms Service Provider
6%
Government
6%
Marketing Services Firm
5%
Construction Company
5%
University
5%
Retailer
4%
Healthcare Company
4%
Computer Software Company
4%
Media Company
4%
Energy/Utilities Company
4%
Outsourcing Company
4%
Performing Arts
3%
Insurance Company
3%
Transportation Company
2%
Educational Organization
2%
Real Estate/Law Firm
2%
Hospitality Company
2%
Non Profit
2%
Religious Institution
1%
Logistics Company
1%
Renewables & Environment Company
1%
Pharma/Biotech Company
1%
Wholesaler/Distributor
1%
Consumer Goods Company
1%
Aerospace/Defense Firm
1%
Recreational Facilities/Services Company
1%
Legal Firm
1%

Compare Microsoft Azure Synapse Analytics with alternative products

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Learn more about Microsoft Azure Synapse Analytics

Azure Synapse Analytics is designed for seamless data integration, allowing users to scale their operations effectively while providing extensive analytics capabilities. It supports both traditional data warehousing and big data solutions with real-time reporting through an interactive interface that integrates well with Power BI. The platform's serverless flexibility optimizes cost while ensuring robust security, leveraging users' familiarity with SQL technologies. Scalability allows processing of large datasets efficiently, empowering companies to connect disparate data sources and support industry-specific needs. Despite its strengths, Synapse users often seek improved governance, schema management, and technical support. Enhanced integration with Microsoft and third-party tools, along with better data loading capabilities, are also desired.

What are the key features of Microsoft Azure Synapse Analytics?
  • SQL Pooling: Provides a dedicated SQL pool for scalable data processing.
  • Massively Parallel Processing: Architecture that enhances efficiency for big data workloads.
  • Pipelines: Streamlines data orchestration and workflow automation.
  • Real-Time Reporting: Delivers quick insights by processing data in real time.
  • Power BI Integration: Seamlessly connects with Power BI for advanced data visualization.
  • Serverless Flexibility: Optimizes cost management by allowing on-demand resources.
What benefits and ROI should be considered in reviews of Microsoft Azure Synapse Analytics?
  • Scalability: Efficiently handles expanding data loads.
  • Cost Management: Serverless architecture provides cost-efficient resource usage.
  • Security Features: Ensures data protection and compliance.
  • Data Integration: Connects various data sources for unified analytics.
  • SQL Familiarity: Leverages common SQL skills for ease of use.

Azure Synapse Analytics is extensively implemented across sectors like healthcare, finance, marketing, and government. Organizations use it to build data pipelines, perform analytics modeling, and facilitate reporting. It supports data transformation, migration, and orchestration, enhancing business intelligence and decision-making capabilities by efficiently handling big data and connecting disparate data sources.

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.

Microsoft Azure Synapse Analytics customers

Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 

Related questions

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  • 70
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  • 44
How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
  • 124
Which ETL or Data Integration tool goes the best with Amazon Redshift?
  • 239
What are the main differences between Data Lake and Data Warehouse?
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  • 109
Are there any general guidelines to allocate table space quota to different layers in ETL?
  • 93
What cloud data warehouse solution do you recommend?

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Microsoft Azure Synapse Analytics Reviews Summary
Author infoRatingReview Summary
CTO at New Turn Technologies4.0I find Microsoft Azure Synapse Analytics stable and well-integrated, combining multiple services into one platform, though its log management pricing is high; I've used it for five years and rate it eight out of ten overall.
Data Strategist, Cloud Solutions Architect at Strategic Architects4.0I've found Microsoft Azure Synapse Analytics useful for ETL, reporting, and data lakes, though it's costly and less scalable than ideal. Databricks offers better features, but Synapse delivers value if workloads and budgets align appropriately.
Director Information Technology Services at a insurance company with 10,001+ employees3.5I 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.
Sr. Technical Architect at Hexaware Technologies Limited3.5I've used Microsoft Azure Synapse Analytics for three years; it's great for ETL pipelines and data preparation, though data ingestion, scalability, and support could improve. The notebook interface and native data lake support are particularly helpful.
Practice Head BI at Nous Infosystems3.5We used Microsoft Azure Synapse Analytics for data warehousing and found it stable and scalable, but moved to Fabric due to better cost efficiency, flexibility, and integration capabilities, although Synapse still rates highly in performance.
Project Manager at Inventec4.0I've used Microsoft Azure Synapse Analytics for three years to integrate data across regions, and I find it intuitive and effective, though expensive; I hope future versions include AI support to enhance functionality.
IT Manager at KONGSBERG3.5In 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 Sasol4.0We 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.