Microsoft Azure Synapse Analytics Reviews

Name: Microsoft Azure Synapse Analytics
Brand: Microsoft
Rating: 3.9 (93 reviews)

3.9 out of 5

93 reviews
94% willing to recommend

What is Microsoft Azure Synapse Analytics?

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.

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Microsoft Azure Synapse Analytics is the #5 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 Azure Data Factory: Microsoft Azure Synapse Analytics vs Azure Data Factory. Microsoft Azure Synapse Analytics is popular among the large enterprise segment, accounting for 71% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a manufacturing company, accounting for 11% of all views.

Buyer's Guide

Microsoft Azure Synapse Analytics

August 2025

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Featured Microsoft Azure Synapse Analytics reviews

Renee Hoon

Data Platform Specialist at Sasol

We run our finance and supply chain jobs using SQL BW, and we visualize our data loads on Power BI. We are using SQL Data Warehouse for data warehousing In terms of cost savings, we don't need specialization in skills as advanced as Teradata. We used to pay extensive licensing fees for Teradata,…

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Thobile Moeketsi

Senior Manager at Sasria SOC Ltd.

We are ingesting data from different sources and using Power BI for reporting and decision-making for analytics It helps centralize our data and create one source of truth, helping us become a data-driven organization. The fact that we can ingest from different types of sources, whether they are…

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Peter Aderoju

Student at University of Derby

The feature I like depends on what I'm doing. I go online to check how to do something and then use the features I need. They're all quite helpful. I use it for data warehousing, so the SQL pool is a good feature to start with, and the pipeline easily aggregates data in the data flow. I also use the data flow tool, the pipeline, and connect it to PySpark for analytics.

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Microsoft Azure Synapse Analytics mindshare

As of August 2025, the mindshare of Microsoft Azure Synapse Analytics in the Cloud Data Warehouse category stands at 6.1%, down from 8.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Data Warehouse

PeerResearch reports based on Microsoft Azure Synapse Analytics reviews

Type	Title	Date
Category	Cloud Data Warehouse	Aug 17, 2025	Download
Product	Reviews, tips, and advice from real users	Aug 17, 2025	Download
Comparison	Microsoft Azure Synapse Analytics vs Snowflake	Aug 17, 2025	Download
Comparison	Microsoft Azure Synapse Analytics vs Azure Data Factory	Aug 17, 2025	Download
Comparison	Microsoft Azure Synapse Analytics vs BigQuery	Aug 17, 2025	Download

Title	Rating	Mindshare	Recommending
Azure Data Factory	4.0	7.2%	92%	91 interviews Add to research
Teradata	4.1	8.7%	87%	76 interviews Add to research

Valuable Features

Microsoft Azure Synapse Analytics excels in scalability, ease of use, and integration with other Azure services. Features like Massively Parallel Processing architecture, seamless data ingestion, and the ability to handle large volumes of data are highlighted. Synapse Analytics offers robust analytics functions, connects well with Power BI, and enhances performance. Users appreciate its user-friendly interface, cost-effectiveness, and flexibility in data handling and transformation. Its serverless and real-time processing capabilities receive praise as well.

"For Microsoft Azure Synapse Analytics, the integration is the most valuable feature, meaning that whatever you need is fast and easy to use."
"Microsoft Azure Synapse Analytics offers significant visibility, which helps us understand our usage more clearly."
"The product provides a seamless and adaptable approach to data processing and analytics."

Room for Improvement

Azure Synapse Analytics faces challenges such as complex configuration and user interface, high costs, and limited integration with other tools. There is difficulty in transitioning from on-premises systems and Active Directory integration issues. Enhanced monitoring, better setup processes, more advanced analytics, improved governance, and user-friendly documentation are needed. Concerns around security, data consistency, and query performance linger. Users seek improved technical support and more free trials for easier adoption.

"There is no reason to use Microsoft Azure Synapse Analytics and to pay so much for it, but because of the integration of Microsoft Azure Synapse Analytics in the cloud since it's a Microsoft native tool, you can't say the same for Databricks, which is an open-source tool that Microsoft took inside."
"Customer service and support for Microsoft Azure Synapse Analytics need improvement. They are slow to respond and not very knowledgeable."
"If Microsoft Azure Synapse Analytics could run on a laptop as a Docker image, it would allow for work without needing an online connection."

ROI

Many users acknowledged cost savings with Azure Synapse Analytics, citing reduced operational costs and the shift from capital to operating expenditures. While some lacked specific metrics, many agreed on a favorable cost-to-flexibility ratio. Some indicated that the use of serverless databases significantly lowered expenses. Users reported improved data efficiency and functionality, predicting ROI between 50% to 70%. Some favored Azure Synapse over on-premise setups for eliminating extensive licensing fees and simplifying management.

Pricing

Enterprise buyers often find Microsoft Azure Synapse Analytics pricing to be on the higher side, with costs heavily dependent on usage and setup. While its pay-as-you-go model offers flexibility, it can lead to unpredictable expenses due to computational and storage needs. Many users report competitive pricing in comparison to AWS but express concern over potential unexpected billing, suggesting careful budget planning and cost management as crucial factors for its integration and use.

"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

Companies primarily use Microsoft Azure Synapse Analytics for data warehousing, cloud migration, analytics, and reporting. It facilitates integrating data from various sources, enabling visualization with tools like Power BI. Users employ it to handle big data processing, create data pipelines, and conduct business intelligence tasks. Organizations also leverage its computing capabilities for intricate data processing and analytics in sectors such as finance, banking, healthcare, and marketing, supporting forecasting and decision-making.

Service and Support

Responses vary: many users express satisfaction with Microsoft's Azure Synapse Analytics support, citing responsiveness and knowledge. Some find the service slower or less knowledgeable, particularly regarding low-severity issues. Large clients often receive faster support, while smaller ones report challenges with response times. Various users manage support internally or rely on documentation and community resources. Tickets typically resolve quickly, yet experiences differ from premium support receiving high praise to slower resolution times for less critical issues.

Deployment

Users found Microsoft Azure Synapse Analytics' initial setup to primarily be straightforward, with many considering it easy and quick, especially for those familiar with similar tools. Some noted complexity, especially if new to the platform, or due to infrastructure specifics and documentation gaps. Deployment time varied, with some completing it within minutes or days, while others required weeks or had to seek external assistance for complex environments and lack of familiarity.

Scalability

Microsoft Azure Synapse Analytics demonstrates strong scalability. User feedback highlights its ability to automatically scale, adjust based on needs, and handle varying user numbers with ease. It supports high availability, and enables easy scaling with a pay-as-you-go model. Users find it straightforward to increase capacity and utilize resources, noting that while costs may rise, scalability is efficient and nearly limitless within an enterprise and cloud environment.

Stability

Users find Microsoft Azure Synapse Analytics generally stable, with ratings often between seven to ten out of ten. While many praise its reliability and performance without issues like crashes or glitches, some note occasional outages or problems under specific conditions, such as during large loads or due to external factors. Its scalability and speed are appreciated, yet feedback suggests the need for continued improvements and updates to maintain its high standard.

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

By visitors reading reviews

Top industries

By visitors reading reviews

Manufacturing Company

11%

Financial Services Firm

Government

Computer Software Company

Healthcare Company

Comms Service Provider

Insurance Company

Retailer

University

Energy/Utilities Company

Educational Organization

Performing Arts

Transportation Company

Construction Company

Non Profit

Hospitality Company

Real Estate/Law Firm

Media Company

Legal Firm

Pharma/Biotech Company

Consumer Goods Company

Wholesaler/Distributor

Logistics Company

Recreational Facilities/Services Company

Outsourcing Company

Renewables & Environment Company

Wellness & Fitness Company

Aerospace/Defense Firm

Recruiting/Hr Firm

Compare Microsoft Azure Synapse Analytics with alternative products

Learn more about Microsoft Azure Synapse Analytics

Microsoft Azure Synapse Analytics is built with these 4 components:

Synapse SQL
Spark
Synapse Pipeline
Studio

Microsoft Azure Synapse Analytics Features

Microsoft Azure Synapse Analytics has many valuable key features, including:

Cloud Data Service: WIth Microsoft Azure Synapse Analytics you can operate services (data analytics, machine learning, data warehousing, dashboarding, etc.) in a single workspace via the cloud.
Structured and unstructured data: Microsoft Azure Synapse Analytics supports both structured and unstructured data and allows you to manage relational and non-relational data - unlike data warehouses and lakes that tend to store them respectively.
Effective data storage: Microsoft Azure Synapse Analytics offers next-level data storage with high availability and different tiers.
Responsive data engine: Microsoft Azure Synapse Analytics uses Massive Parallel Processing (MPP) and is designed to handle large volumes of data and analytical workloads efficiently without any problems.
Several scripting languages: The solution provides language compatibility and supports different programming languages, such as Python, Java, Spark SQL, and Scala.
Query optimization: Microsoft Azure Synapse Analytics works well to facilitate limitless concurrency and performance optimization. It also simplifies workload management.

Microsoft Azure Synapse Analytics Benefits

Some of the benefits of using Microsoft Azure Synapse Analytics include:

Database templates: Microsoft Azure Synapse Analytics offers industry-specific database templates that make it easy to combine and shape data.
Better business insights: With Microsoft Azure Synapse Analytics you can expand discovery of insights from all your data and apply machine learning models to all your intelligent apps.
Reduce project development time: Microsoft Azure Synapse Analytics makes it possible to have a unified experience for developing end-to-end analytics, which reduces project development time significantly.
Eliminate data barriers: By using Microsoft Azure Synapse Analytics, you can perform analytics on operational and business apps data without data movement.
Advanced security: Microsoft Azure Synapse Analytics provides both advanced security and privacy features to ensure data protection.
Machine Learning: Microsoft Azure Synapse Analytics integrates Azure Machine Learning, Azure Cognitive Services, and Power BI.

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.