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AWS Lake Formation vs Microsoft Azure Synapse Analytics comparison

Why PeerSpot?
Amazon Web Services (AWS) and Microsoft are both solutions in the Cloud Data Warehouse category. Amazon Web Services (AWS) is ranked #9 with an average rating of 8.1, while Microsoft is ranked #6 with an average rating of 7.8. Amazon Web Services (AWS) holds a 3.3% mindshare in CDW, compared to Microsoft’s 6.1% 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
  • 2,533 Views
  • 1,976 Comparison Views
85% willing to recommend
Microsoft Azure Synapse Ana...
Read 98 Microsoft Azure Synapse Analytics reviews
  • 7,465 Views
  • 5,002 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: September 2026).
Buyer's Guide
AWS Lake Formation vs. Microsoft Azure Synapse Analytics
September 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
9th
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
6th
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 September 2026, in the Cloud Data Warehouse category, the mindshare of AWS Lake Formation is 3.3%, down from 5.7% compared to the previous year. The mindshare of Microsoft Azure Synapse Analytics is 6.1%, up from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Synapse Analytics6.1%
AWS Lake Formation3.3%
Other90.6%
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

"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 main benefits that I have seen from using AWS Lake Formation are related to FinOps because you have control of your data and can track your costs since AWS Lake Formation is integrated into a unique platform, which is AWS Cloud Service."
"The solution is quite good at handling analytics. It's done a good job at helping us centralize them."
"The features and capabilities of AWS Lake Formation that I have found most valuable are that it is really convenient to see all the different data assets that were configured and understand who has and what type of service has or does not have access to those services."
"The integration of AWS Lake Formation with the IAM for authentication and authorization is very good; I didn't have any problems in the setup and thought it was simple."
"We have observed measurable benefits in terms of cost savings, time savings, resource savings, and efficiency improvements in our workflows."
"A favorite feature of AWS Lake Formation is that it provides us with visibility into who has access to a particular table or database in Glue."
"AWS Lake Formation significantly improves the structure of the data mesh, making it superior to previous structures we used."
More AWS Lake Formation pros
"I love the way all the application resources from Microsoft can synchronize, help me with a lot of stuff, and reduce the time or hour of having maybe a resource for an hour a day while also being able to use artificial intelligence."
"The most valuable features of Microsoft Azure Synapse Analytics are the user experience because it is easy to make analyses, load different databases, and different resources. Our end users can do the analysis by themselves without IT supervising. This is a great aspect of the solution, it's better for our environment."
"We find the serverless tool to be the most valuable feature ."
"We are getting a good ROI from Synapse Analytics."
"Our primary use case is for gathering data and analytics. We provide insights into vehicle data. We gather millions of records per second and we have various millions of vehicles running across."
"The initial setup is very simple."
"It is a fantastic product; we are satisfied with its features and performance."
"The ability to scale out services on-demand and scale them down when they are not required is most valuable. You are in control of your expenditures, and you are also in control of the horsepower that you need. That's a major advantage."
More Microsoft Azure Synapse Analytics pros
 

Cons

"The UI of AWS Lake Formation is not very responsive."
"I think AWS Lake Formation could improve by enforcing the least privilege by design, moving from ad hoc grants to role-based access controls."
"If I could improve AWS Lake Formation, I would add more integrations with SageMaker."
"Lake Formation could enhance its capabilities in audit logs, real-time monitoring, and advanced data governance."
"For the end-users, it's not as user-friendly as it could be."
"You need to have data experience to use the product."
"Information about the pricing, cost, and setup cost of the AWS solutions would be beneficial."
"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."
More AWS Lake Formation cons
"They should automate some of the features. There are some things, such as the creation of external tables, that you have to do manually. They should be automated."
"The need to improve a little bit in terms of user-friendliness."
"Synapse is a very costly solution, and other products are available for less."
"One area for improvement could be better integration with Power BI, as well as data integration with BW."
"Comes with a pretty steep learning curve."
"From an infrastructure standpoint, I believe it can be more secure in terms of availability."
"Scalability is a little laggy or jittery. Sometimes, when jobs are running in production, it might show some faults, and recovering from such scenarios becomes a bit problematic or time-consuming."
"If Microsoft Azure Synapse Analytics could run on a laptop as a Docker image, it would allow for work without needing an online connection."
More Microsoft Azure Synapse Analytics cons
 

Pricing and Cost Advice

"AWS Lake Formation is a bit expensive."
"All of the prices are available online."
"The costs are billed such that we pay for what we use, which is a good thing."
"The solution could improve by having better costing information."
"The computer and storage costs are totally separate which allows you to work independently or manage costs."
"Its price could be better. It was a school project, and I got it for free. If I try to pay through my company, it is a little bit more expensive as compared to Oracle."
"The pricing is competitive, but only when you pay upfront. If you pay as you go, it's not as competitive. I'd give pricing a rating of seven out of ten."
"Because it's cloud the cost is a different convention and the licensing costs are not the same."
"Microsoft Azure Synapse Analytics is an expensive solution and there is a license needed to use it. My company has an enterprise license."
More Microsoft Azure Synapse Analytics pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Outsourcing Company
12%
Construction Company
8%
Manufacturing Company
7%
Outsourcing Company
13%
Financial Services Firm
11%
Manufacturing Company
7%
Construction Company
7%
 

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 Business28
Midsize Enterprise18
Large Enterprise60
 

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 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
What needs improvement with Microsoft Azure Synapse Analytics?
I am hoping that in the future Microsoft Azure Synapse Analytics may have AI support.
See all answers
 

Comparisons

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Amazon Redshift vs AWS Lake Formation
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Snowflake vs AWS Lake Formation Logo
Snowflake vs AWS Lake Formation
Compared 11% of the time
Azure Data Factory vs AWS Lake Formation Logo
Azure Data Factory vs AWS Lake Formation
Compared 9% of the time
Databricks vs AWS Lake Formation Logo
Databricks vs AWS Lake Formation
Compared 9% of the time
Amazon EMR vs AWS Lake Formation Logo
Amazon EMR vs AWS Lake Formation
Compared 5% of the time
More AWS Lake Formation Competitors
Snowflake vs Microsoft Azure Synapse Analytics Logo
Snowflake vs Microsoft Azure Synapse Analytics
Compared 20% 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 6% of the time
Databricks vs Microsoft Azure Synapse Analytics Logo
Databricks vs Microsoft Azure Synapse Analytics
Compared 3% of the time
More Microsoft Azure Synapse Analytics Competitors
 

Product Reports

Buyer's Guide
AWS Lake Formation
September 2026
AWS Lake Formation reportDownload AWS Lake Formation product report
Buyer's Guide
Microsoft Azure Synapse Analytics
September 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 streamlines data lake organization by integrating seamlessly with AWS services, ensuring robust access control, and facilitating effective data management. Its extensible framework and centralized data handling make it ideal for cloud environments that require scalability.

AWS Lake Formation offers comprehensive data synchronization with AWS, robust security through fine-grained policies, and seamless team collaboration tools. It centralizes data assets, supports analytics with Glue, and enhances data mesh structures. Its IAM integration supports efficient governance, with reliable data storage and retrieval backed by extensive documentation. While highly efficient within AWS ecosystems, Lake Formation faces integration challenges with third-party libraries, and users experience clutter in its interface. Aspects such as automation, policy management, and debugging are areas for improvement. Enhancements in orchestration, cross-account sharing, and integrations with services like SageMaker are user recommendations.

What are the key features of AWS Lake Formation?
  • Data Synchronization: Integrates with AWS services for seamless data management.
  • Security Policies: Implements fine-grained access control for secure data handling.
  • Team Collaboration: Facilitates cooperation through centralized data management.
  • Analytics Support: Enhances data processing with Glue integration.
  • Extensibility: IAM integration allows scalable governance.
What benefits or ROI can users expect?
  • Scalability: Efficiently manages expanding data volumes.
  • Cost Efficiency: Reduces cloud data management expenses.
  • Data Security: Ensures compliance with robust policies.
  • Comprehensive Support: Access to detailed documentation and AWS resources.

Organizations utilize AWS Lake Formation across various industries to build and manage data lakes, ensuring effective data governance and storage solutions. It helps integrate and transform data, control permissions, and support analytics. From e-commerce to healthcare, AWS Lake Formation delivers centralized data repositories for structured and unstructured data, securing information while providing scalable infrastructure and efficient resource management.

Amazon Web Services (AWS)

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.

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
 

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
September 2026
Free Report: AWS Lake Formation vs. Microsoft Azure Synapse Analytics
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