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AWS Lake Formation vs Microsoft Azure Synapse Analytics comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Cloud Data Warehouse category. Amazon Web Services (AWS) is ranked #8 with an average rating of 8.1, while Microsoft is ranked #7 with an average rating of 7.7. Amazon Web Services (AWS) holds a 4.7% mindshare in CDW, compared to Microsoft’s 6.0% mindshare. Additionally, 85% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 94% of Microsoft users who would recommend it.
AWS Lake Formation
Read 21 AWS Lake Formation reviews
  • 1,610 Views
  • 1,385 Comparison Views
85% willing to recommend
Microsoft Azure Synapse Ana...
Read 98 Microsoft Azure Synapse Analytics reviews
  • 4,513 Views
  • 2,843 Comparison Views
94% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 18, 2024

Microsoft Azure Synapse Analytics and AWS Lake Formation are competing in the data integration and analytics platform category. Azure Synapse Analytics seems to have an edge in terms of support and pricing, while AWS Lake Formation offers greater value through its comprehensive feature set.

Features: Azure Synapse Analytics provides integrated analytics services, seamless scalability, and a user-friendly interface for Microsoft product integration. These features make it particularly suitable for businesses utilizing other Azure services. AWS Lake Formation stands out with its robust data cataloging, advanced security capabilities, and strong interoperability within the AWS ecosystem. These strengths facilitate superior data governance and management.

Room for Improvement: Azure Synapse Analytics may lack some advanced data security features compared to AWS, potentially requiring enhancements in data cataloging for non-Microsoft environments. It might benefit from improved interoperability with non-Microsoft platforms. AWS Lake Formation could improve ease of deployment and user experience for those unfamiliar with AWS. Additionally, streamlining integration processes for non-native AWS services could increase its appeal outside the AWS environment.

Ease of Deployment and Customer Service: Azure Synapse Analytics offers a streamlined deployment process, particularly within the Azure ecosystem, bolstered by reliable customer support. AWS Lake Formation, while posing a more comprehensive setup due to its wide-ranging data management capabilities, provides strong backing with customer support tailored to meet enterprise-level requirements. This distinction underscores ease of use in environments where each solution excels, with Azure Synapse integrating more smoothly within Microsoft-based infrastructures.

Pricing and ROI: Azure Synapse Analytics presents competitive pricing, especially for Microsoft-centric organizations, offering efficient ROI through streamlined data processing workflows. AWS Lake Formation may require a higher initial financial commitment but promises significant ROI owing to its extensive security and robust data management features. Deciding between the two requires organizations to weigh cost against long-term value, considering their strategic priorities around data governance and security.

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To learn more, read our detailed AWS Lake Formation vs. Microsoft Azure Synapse Analytics Report (Updated: March 2026).
Buyer's Guide
AWS Lake Formation vs. Microsoft Azure Synapse Analytics
March 2026
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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

AWS Lake Formation
Ranking in Cloud Data Warehouse
8th
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
21
Ranking in other categories
No ranking in other categories
Microsoft Azure Synapse Ana...
Ranking in Cloud Data Warehouse
7th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
98
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of AWS Lake Formation is 4.7%, down from 5.0% compared to the previous year. The mindshare of Microsoft Azure Synapse Analytics is 6.0%, down from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Synapse Analytics6.0%
AWS Lake Formation4.7%
Other89.3%
Cloud Data Warehouse
 

Featured Reviews

Ciro Baldim Guerra - PeerSpot reviewer
Ciro Baldim Guerra
Sr Analytics Engineer at Itau Unibanco S.A.
Has improved data governance by enabling clear ownership and structured access across teams
In my company, Itaú, we don't utilize all AWS offerings due to rigorous security measures. We operate approximately six to eight months behind other available services. I'm uncertain if gaps exist because of this limitation, though the system functions effectively for us. AWS Lake Formation offers column-level access control for databases, but we haven't implemented this feature either because it hasn't been approved by our compliance, governance, or security areas. In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions. However, I struggle to identify specific improvements needed in AWS Lake Formation.
Read full review
AnandTiwari - PeerSpot reviewer
AnandTiwari
CTO at New Turn Technologies
Has consistently supported integration across diverse environments and streamlined deployment processes
Microsoft Azure Synapse Analytics could improve their pricing structure. They currently have two separate pricing tiers: full log and partial log. I suggest they implement a single price and reduce charges on logs. They could implement a cap with some free tier or price tier based on the GBs of log collected. This would help customers use Azure more effectively. Microsoft Azure Synapse Analytics is an excellent product because it includes both SIEM and orchestration capabilities with playbooks, but the log management part is very costly. Regarding future improvements, I would appreciate more application connectors for integration, particularly for on-premise based solutions. Many customers still maintain on-premise infrastructure, so having more integration possibilities for these environments would be beneficial.
Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"AWS Lake Formation significantly improves the structure of the data mesh, making it superior to previous structures we used."
"AWS Lake Formation lets you see all your data and tables on one screen."
"AWS Lake Formation has several valuable features that enhance data management, and one particularly beneficial aspect is how it facilitates better collaboration within data teams."
"The solution has many features that are applicable to events such as audits."
"The most important advantage in using AWS Lake Formation is its ability to connect the data lake to the other technologies in AWS. This is what I advise my clients."
"The LF-Tag system with granular permissions was key to the project as a functionality of AWS Lake Formation."
"We use this to reduce latency from minutes to seconds, as we aim for real-time visibility into patient healthcare monitoring."
"There is no doubt that this place exceeded my expectations with its incredible ambiance, attentive service, and mouthwatering menu."
More AWS Lake Formation pros
"The MPP (Massively Parallel Processing) architecture helps to make things a lot faster."
"The best feature of Microsoft Azure Synapse Analytics is the notebook functionality; it provides a very good interface, and we can easily do our experiments, POCs, and check things before migration or deployment to higher environments such as from development to SIT and then production."
"I like how Microsoft Azure Synapse Analytics integrates with other Microsoft solutions."
"The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs."
"Overall deployment and integration is pretty fast."
"Synapse Analytics' best features are notebooks, pipelines, and monitoring."
"The features I find most valuable in Microsoft Azure Synapse Analytics are comprehensive because they have combined almost five to six components into one single bundle."
"What I found most valuable in Microsoft Azure Synapse Analytics is that it's native only for Azure, so you get better performance and there's no issue. To explain further, many different types of data come, in particular, structured and unstructured data. For audit purposes, there's also unstructured data, so the most important aspect is that with Microsoft Azure Synapse Analytics, you have the capability of using both technologies, meaning that you can use or mix structured and unstructured data which is important. This can also be done in Hadoop, and on other platforms, so you have everything in one place. You don't have to worry about how to manage both structured and unstructured data and where to store information. With Microsoft Azure Synapse Analytics, you can take care of everything, particularly in Azure. The solution also provides you with many features apart from analytics, for example, storage which makes it better."
More Microsoft Azure Synapse Analytics pros
 

Cons

"In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions."
"Athena can be a bit clunky when writing queries, indicating a potential enhancement point for easier user interaction with query tools such as DataGrip using provided driver JARs."
"Rather than creating an additional hundred tools, optimizing a tool to have a centralized location to do governance would be beneficial."
"The main challenge we faced with AWS Lake Formation was related to cross-account sharing. Granting access to other AWS accounts for tables or databases in a different AWS account was somewhat difficult."
"In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions."
"Information about the pricing, cost, and setup cost of the AWS solutions would be beneficial."
"You need to have data experience to use the product."
"It falls short when it comes to more granular access control, such as cell-level or row-level entitlements which is a significant drawback for organizations that require precise control over who can access specific rows of data."
More AWS Lake Formation cons
"Managing workloads and data transformation using Databricks should be a focus."
"I wish the data governance feature could be incorporated without requiring an additional license."
"Scaling this solution up and down is not quick and easy. This could be improved. The pricing of this solution could also be improved."
"This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market."
"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."
"Real-time integration is hard to do in Microsoft Azure Synapse Analytics."
"The performance needs to improve in future releases."
"It would be ideal if the solution could be better used intuitively by the staff without having a great deal of training."
More Microsoft Azure Synapse Analytics cons
 

Pricing and Cost Advice

"AWS Lake Formation is a bit expensive."
"Because it's cloud the cost is a different convention and the licensing costs are not the same."
"The solution is very expensive because it often requires the purchase of additional storage."
"Microsoft's pricing is relatively high, and it varies according to the extent of our usage. The pricing is directly tied to our consumption. This decision is ultimately a business choice."
"I think Microsoft Azure Synapse Analytics is priced well, and I would rate the price at eight out of ten."
"The price of Microsoft Azure Synapse Analytics can vary. Other solutions are typically fixed prices and a fixed cost regardless of usage, but this solution is based on usage or consumption."
"Microsoft Azure Synapse Analytics is an expensive solution and there is a license needed to use it. My company has an enterprise license."
"We chose the serverless option for the database which has saved us a lot of money. Our costs are approximately £600 per month."
"Our license is very expensive"
More Microsoft Azure Synapse Analytics pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Manufacturing Company
8%
Retailer
7%
Computer Software Company
6%
Manufacturing Company
12%
Financial Services Firm
9%
Government
6%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise15
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise18
Large Enterprise56
 

Questions from the Community

What is your experience regarding pricing and costs for AWS Lake Formation?
I don't understand much about the pricing of AWS Lake Formation, but I know how to search for the cost of Glue jobs, and I use the calculator in Amazon. I use a tool to preview the cost based on th...
See all answers
What needs improvement with AWS Lake Formation?
Regarding areas of AWS Lake Formation that could be improved or enhanced, I prefer not to answer, mainly because I do not believe that I would be the most valuable person to ask, as I have not used...
See all answers
What is your primary use case for AWS Lake Formation?
My usual use cases for AWS Lake Formation involved securing and governing the data resources that we configured in AWS, but we did not use the analytics or machine learning capabilities specificall...
See all answers
How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
See all answers
What do you like most about Microsoft Azure Synapse Analytics?
The product is easy to use, and anybody can easily migrate to advanced DB.
See all answers
What is your experience regarding pricing and costs for Microsoft Azure Synapse Analytics?
I think the licensing cost for Microsoft Azure Synapse Analytics is very high, but I have a local system to support that, so I don't consider that in the near future.
See all answers
 

Comparisons

Snowflake vs AWS Lake Formation Logo
Snowflake vs AWS Lake Formation
Compared 14% of the time
Azure Data Factory vs AWS Lake Formation Logo
Azure Data Factory vs AWS Lake Formation
Compared 13% of the time
Databricks vs AWS Lake Formation Logo
Databricks vs AWS Lake Formation
Compared 12% of the time
Amazon Redshift vs AWS Lake Formation Logo
Amazon Redshift vs AWS Lake Formation
Compared 11% of the time
Microsoft Analytics Platform System vs AWS Lake Formation Logo
Microsoft Analytics Platform System vs AWS Lake Formation
Compared 4% of the time
More AWS Lake Formation Competitors
Snowflake vs Microsoft Azure Synapse Analytics Logo
Snowflake vs Microsoft Azure Synapse Analytics
Compared 19% of the time
Amazon Redshift vs Microsoft Azure Synapse Analytics Logo
Amazon Redshift vs Microsoft Azure Synapse Analytics
Compared 8% of the time
Oracle Autonomous Data Warehouse vs Microsoft Azure Synapse Analytics Logo
Oracle Autonomous Data Warehouse vs Microsoft Azure Synapse Analytics
Compared 6% of the time
Azure Data Factory vs Microsoft Azure Synapse Analytics Logo
Azure Data Factory vs Microsoft Azure Synapse Analytics
Compared 5% of the time
More Microsoft Azure Synapse Analytics Competitors
 

Product Reports

Buyer's Guide
AWS Lake Formation
March 2026
AWS Lake Formation reportDownload AWS Lake Formation product report
Buyer's Guide
Microsoft Azure Synapse Analytics
March 2026
Microsoft Azure Synapse Analytics reportDownload Microsoft Azure Synapse Analytics product report
 

Also Known As

No data available
Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
 

Overview

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

Amazon Web Services (AWS)

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.

Microsoft Azure Synapse Analytics is built with these 4 components:

  1. Synapse SQL
  2. Spark
  3. Synapse Pipeline
  4. 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
 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
Buyer's Guide
AWS Lake Formation vs. Microsoft Azure Synapse Analytics
March 2026
Free Report: AWS Lake Formation vs. Microsoft Azure Synapse Analytics
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