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AWS Lake Formation vs Microsoft Azure Synapse Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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 March 2025, in the Cloud Data Warehouse category, the mindshare of AWS Lake Formation is 5.0%, down from 6.4% compared to the previous year. The mindshare of Microsoft Azure Synapse Analytics is 6.7%, down from 10.6% 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.
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,…

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 solution is quite good at handling analytics. It's done a good job at helping us centralize them."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"The solution has many features that are applicable to events such as audits."
"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."
"I can easily move data from cold storage to regular storage."
"The product is very user friendly."
"Technical support is okay in terms of the help they provide."
"I like how Microsoft Azure Synapse Analytics integrates with other Microsoft solutions."
"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."
"We've had a good experience with technical support in general."
"The most valuable features of Microsoft Azure Synapse Analytics are the interface and the agility of the on-cloud platform."
"The solution offers strong scalability opportunities."
"It's quite quick for querying, even with large datasets, and it's scalable. It's also flexible to use, so it's easy to update and get data quickly without wasting time."
 

Cons

"If I could improve AWS Lake Formation, I would add more integrations with SageMaker."
"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."
"Lake Formation could enhance its capabilities in audit logs, real-time monitoring, and advanced data governance."
"You need to have data experience to use the product."
"AWS Lake Formation's pricing could be cheaper."
"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."
"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."
"For the end-users, it's not as user-friendly as it could be."
"The configuration for things like high-availability could be more user-friendly for non-technical users."
"Right now, we are really struggling with the performance. it's not as good as we had hoped."
"The product could be more feature-rich."
"One potential area for improvement could be the availability of an on-premises data lake implementation, as the product is currently only implemented in a cloud environment."
"One area for improvement could be better integration with Power BI, as well as data integration with BW."
"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 product needs a tool that allows for work from a laptop instead of a browser."
"This solution needs to have query caching so that if the same query is run and the results are available, it will return the data from the cache without having to re-run the query."
 

Pricing and Cost Advice

"AWS Lake Formation is a bit expensive."
"The pricing is quite reasonable in comparison to other products."
"The solution is expensive at the enterprise level."
"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."
"The solution is subscription-based. You can also pay to use the product as you go."
"I don't know about the price, but I'm trying to get a sense of the cost."
"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."
"I understand that Synapse Analytics' pricing is lower than Informatica's."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
14%
Manufacturing Company
10%
University
5%
Educational Organization
52%
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.
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.
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...
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...
What do you like most about Microsoft Azure Synapse Analytics?
The product is easy to use, and anybody can easily migrate to advanced DB.
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.
 

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

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
Find out what your peers are saying about AWS Lake Formation vs. Microsoft Azure Synapse Analytics and other solutions. Updated: March 2025.
842,296 professionals have used our research since 2012.