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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 #13 with an average rating of 7.3, while Microsoft is ranked #2 with an average rating of 8.1. Amazon Web Services (AWS) holds a 5.4% mindshare in CDW, compared to Microsoft’s 6.4% mindshare. Additionally, 71% 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 8 AWS Lake Formation reviews
  • 2,300 Views
  • 1,944 Comparison Views
71% willing to recommend
Microsoft Azure Synapse Ana...
Read 92 Microsoft Azure Synapse Analytics reviews
  • 7,013 Views
  • 3,039 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: April 2025).
Buyer's Guide
AWS Lake Formation vs. Microsoft Azure Synapse Analytics
April 2025
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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
13th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Microsoft Azure Synapse Ana...
Ranking in Cloud Data Warehouse
2nd
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
92
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Cloud Data Warehouse category, the mindshare of AWS Lake Formation is 5.4%, down from 5.8% compared to the previous year. The mindshare of Microsoft Azure Synapse Analytics is 6.4%, down from 9.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

Featured Reviews

Ramesh Raghavan - PeerSpot reviewer
Centralized repository, offers various cataloging mechanisms for quick data retrieval but data governance capabilities could be better
There are a couple of areas for improvement with Lake Formation. One of the main challenges, especially when dealing with rich media content, like in MarTech (Marketing Technology) or ad agencies, is its versatility. Some clients feel that Lake Formation doesn’t meet their needs and they tend to prefer competitor products for those specific use cases. The second area for improvement is in data governance. Specifically, Lake Formation could enhance its capabilities in audit logs, real-time monitoring, and advanced data governance. This includes managing the entire data lineage—where the data originated, how it moves, and where it’s currently stored. The visibility of the data as it evolves is crucial, and that’s where more advanced governance capabilities would be beneficial.
Read full review
Renee Hoon - PeerSpot reviewer
Scalable performance tuning and optimization for finance and supply chain jobs
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,…
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

"I can easily move data from cold storage to regular storage."
"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 solution is quite good at handling analytics. It's done a good job at helping us centralize them."
"AWS Lake Formation works hand in hand with other products."
"AWS Lake Formation lets you see all your data and tables on one screen."
"We use AWS Lake Formation typically for the data warehouse."
"The solution has many features that are applicable to events such as audits."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"Can capture all the transactional data throughout a company."
"The most valuable feature is that you can suspend the computer if it is not being used, which means that you don't incur costs."
"Synapse Analytics' best feature is its ability to process large files."
"The pricing seems to be quite fair."
"Synapse Analytics' best features are notebooks, pipelines, and monitoring."
"The initial setup process is straightforward."
"The most valuable feature is performance gains."
"Azure Synapse combines the strengths of SQL technologies for effective enterprise data management."
More Microsoft Azure Synapse Analytics pros
 

Cons

"For the end-users, it's not as user-friendly as it could be."
"In our experience what could be improved are not the support, performance or monitoring, but at a managerial level, the very expensive professional services of AWS. This could be an area of improvement for them. It's too expensive to acquire their support."
"You need to have data experience to use the product."
"AWS Lake Formation's pricing could be cheaper."
"Lake Formation could enhance its capabilities in audit logs, real-time monitoring, and advanced data governance."
"The solution could make improvements around orchestration and doing some automation stuff on AWS front automation. It would be useful if we could use automation to build images and use hardened images which are CIS compliant."
"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."
"If I could improve AWS Lake Formation, I would add more integrations with SageMaker."
"More integration is needed to improve the product for the future."
"Could have more connectors and better integration for Hadoop."
"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."
"The major challenge that we're seeing with Azure Synapse is around security concerns. The way it is working right now, it has Managed VNet by Microsoft option, similar to the implementation of Azure Databricks, which may pose a concern for financial institutions. For managed environments, the banks have very strict policies around data being onboarded to those environments. For some confidential applications, the banks have the policy to encrypt it with their own key, so it is sort of like Bring Your Own Key, but it is not possible to manage the resources with Microsoft or Databricks, which is probably the major challenge with Azure Synapse. There should be more compatibility with SQL Server. It should be easier to migrate solutions between different environments because right now, it is not really competitive. It is not like you can go and install SQL Database in some other environment. You will have to go through some migration projects, which probably is one of the major showstoppers for any bank. When they consider Synapse, they not only consider the investment in the actual service; they also consider the cost of the migration process. When you scale out or scale down your system, it becomes unavailable for a few minutes. Because it is a data warehouse environment, it is not such a huge deal, but it would be great if they can improve it so that the platform is available during the change of configuration."
"The linked services can be improved. We can create dynamic linked services to access a lot of databases but only those of the same type. For example, I can use the same linked services to access 11 SQL databases. However, if I have 11 SQL databases and five Oracle databases, I need two dynamic linked services. I cannot do it with only one linked service. The UI also needs to be improved. When I have used Azure Synapse for programming with PySpark, Scala, or .NET, for example, the UI has been unstable. If I open two notebooks for programming, one notebook will queue the session of the other."
"Non-structured data is unavailable with this product."
"Synapse Analytics is generally stable, but its performance can be slow when performing very large datasets."
"In the future, Microsoft Azure Synapse Analytics has the potential to enhance its capabilities by expanding its connectors, specifically with regard to Oracle solutions, such as operating systems. This would involve a comprehensive approach to adding more connectors for both data input and consumption purposes. By doing so, Microsoft Azure Synapse Analytics would be better equipped to meet the diverse needs of its users and achieve greater efficiency in its performance. The provision of more connectors is definitely a crucial area that needs improvement."
More Microsoft Azure Synapse Analytics cons
 

Pricing and Cost Advice

"AWS Lake Formation is a bit expensive."
"The price of this solution could be improved."
"You have to be very careful with one specific service inside Microsoft Azure Synapse Analytics which is called the Sequel Data Warehouse Dedicated. It is very reliable and performs well, but it's expensive. You need to define the tier well because you can choose between several tiers and you have to define which suits your needs and not overperform the tier because it's quite expensive."
"It's very difficult to price unless you know exactly how the customer is using it."
"Microsoft Azure Synapse Analytics is a moderately priced solution."
"Price varies by use-case. You pay for the database itself in addition to any consumed data within Serverless plus other fees if you use the Data Factory that is inside."
"The computer and storage costs are totally separate which allows you to work independently or manage costs."
"The solution could improve by having better costing information."
"My company pays for the license and I am not sure about the price."
More Microsoft Azure Synapse Analytics pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
14%
Manufacturing Company
9%
Government
6%
Educational Organization
51%
Computer Software Company
5%
Financial Services Firm
5%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about AWS Lake Formation?
It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services.
See all answers
What is your experience regarding pricing and costs for AWS Lake Formation?
The pricing is expensive compared to OpenStack, but cheaper than other cloud environments. It's middle-of-the-road for regular storage yet very cost-effective when using Amazon Glacier for data.
See all answers
What needs improvement with AWS Lake Formation?
If I could improve AWS Lake Formation, I would add more integrations with SageMaker. I would have built-in functions that provide statistics for the data when using the GUI, such as SageMaker Insig...
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?
We use an enterprise-level subscription for Microsoft Azure Synapse Analytics. I would rate our satisfaction with the price around five, as I have not focused much on cost aspects presently.
See all answers
 

Comparisons

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Compared 36% of the time
Amazon Redshift vs AWS Lake Formation Logo
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Compared 19% of the time
Azure Data Factory vs AWS Lake Formation Logo
Azure Data Factory vs AWS Lake Formation
Compared 18% of the time
BigQuery vs AWS Lake Formation Logo
BigQuery vs AWS Lake Formation
Compared 8% of the time
Amazon EMR vs AWS Lake Formation Logo
Amazon EMR vs AWS Lake Formation
Compared 5% of the time
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Oracle Autonomous Data Warehouse vs Microsoft Azure Synapse Analytics Logo
Oracle Autonomous Data Warehouse vs Microsoft Azure Synapse Analytics
Compared 16% of the time
SAP BW4HANA vs Microsoft Azure Synapse Analytics Logo
SAP BW4HANA vs Microsoft Azure Synapse Analytics
Compared 13% of the time
Snowflake vs Microsoft Azure Synapse Analytics Logo
Snowflake vs Microsoft Azure Synapse Analytics
Compared 13% of the time
Teradata vs Microsoft Azure Synapse Analytics Logo
Teradata vs Microsoft Azure Synapse Analytics
Compared 9% of the time
Apache Hadoop vs Microsoft Azure Synapse Analytics Logo
Apache Hadoop vs Microsoft Azure Synapse Analytics
Compared 5% of the time
More Microsoft Azure Synapse Analytics Competitors
 

Product Reports

Buyer's Guide
AWS Lake Formation
April 2025
AWS Lake Formation reportDownload AWS Lake Formation product report
Buyer's Guide
Microsoft Azure Synapse Analytics
April 2025
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
April 2025
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