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AWS Lake Formation vs Snowflake 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
Snowflake Analytics
Ranking in Cloud Data Warehouse
8th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
40
Ranking in other categories
Web Analytics (1st)
 

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 Snowflake Analytics is 0.5%, down from 0.6% 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.
KamleshPant - PeerSpot reviewer
Data ecosystem thrives with advanced governance and streaming capabilities
It is a data offering where I can see data lineage, data governance, and data security. Snowflake has a streaming capability to work with real-time streaming data and delta tables. Additionally, task management, job scheduling, and connecting multiple data sources unify my data across internal and external sources. The system ecosystem for analytics is enhanced, and AI capabilities are incorporated.

Quotes from Members

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

Pros

"We use AWS Lake Formation typically for the data warehouse."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"AWS Lake Formation works hand in hand with other products."
"I can easily move data from cold storage to regular storage."
"AWS Lake Formation lets you see all your data and tables on one screen."
"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 solution is quite good at handling analytics. It's done a good job at helping us centralize them."
"The solution auto-scales and it provides concurrency."
"One advantage is that installation is unnecessary since it's cloud-based. You subscribe to a Snowflake instance, configure it, and start using it. It's very user-friendly and allows you to scale up or down based on usage."
"Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain."
"The most important feature is the warehouse functionality."
"The computational power of Snowflake is very good."
"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."
"It ensures the optimization of the application development while maintaining the user-friendly nature of its UI."
"Snowflake Analytics' predictive analytics elements, which incorporate AI, are good and easy to integrate."
 

Cons

"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."
"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."
"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."
"AWS Lake Formation's pricing could be cheaper."
"You need to have data experience to use the product."
"There are issues while loading data from Snowflake Analytics to the Power BI reporting."
"The technical support is not very good."
"Machine learning in Snowflake isn't as advanced as in other products. I haven't heard of any successful industry-wide use cases of machine learning implemented in Snowflake. It might take a couple of years to reach the same level as Databricks."
"The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."
"Snowflake should include a WHERE clause for building data pipelines."
"The UI could be more user-friendly."
"Improvements are needed in importing and exporting large datasets to and from reporting tools."
"The solution’s interface is good but it could be improved."
 

Pricing and Cost Advice

"AWS Lake Formation is a bit expensive."
"The tool is quite expensive."
"I rate the product's licensing cost a five or six on a scale of one to ten, where one is low price, and ten is high price."
"Snowflake Analytics is a little more costly than Azure."
"On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."
"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."
"I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price."
"Snowflake Analytics is not an expensive solution, and its pricing is average."
"The product's pricing is subjective."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
14%
Manufacturing Company
8%
Government
6%
Computer Software Company
20%
Retailer
13%
Financial Services Firm
8%
Manufacturing Company
6%
 

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...
What is your experience regarding pricing and costs for Snowflake Analytics?
Snowflake is better and cheaper than Redshift and other cloud warehousing systems. It's economical.
What needs improvement with Snowflake Analytics?
Most features are already available. Perhaps AIML integration might be further needed, or Snowflake is already implementing it. AIML-based SQL prompt and query generation could be an area for enhan...
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about AWS Lake Formation vs. Snowflake Analytics and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.