Try our new research platform with insights from 80,000+ expert users

AWS Lake Formation vs Snowflake comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 2025

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
Ranking in Cloud Data Warehouse
1st
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
99
Ranking in other categories
Data Warehouse (1st), AI Synthetic Data (3rd)
 

Mindshare comparison

As of April 2025, in the Cloud Data Warehouse category, the mindshare of AWS Lake Formation is 5.2%, down from 6.0% compared to the previous year. The mindshare of Snowflake is 20.5%, down from 22.8% 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.
Snehasish Das - PeerSpot reviewer
Transformation in data querying speed with good migration capabilities
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses. One key feature is the separation of compute and storage, which eliminates storage limitations. It also has tools for migrating data from legacy databases like Oracle. Its stability and efficiency enhance performance greatly. Tools in the AI/ML marketplace are readily available without needing development.

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 has many features that are applicable to events such as audits."
"We use AWS Lake Formation typically for the data warehouse."
"AWS Lake Formation lets you see all your data and tables on one screen."
"AWS Lake Formation works hand in hand with other products."
"The solution is quite good at handling analytics. It's done a good job at helping us centralize them."
"I can easily move data from cold storage to regular storage."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"This is the advanced version of the cloud version, so it's really a flexible tool. If you have it implemented at home, you can access it from anywhere."
"The thing I find most valuable is that scalability, space storage, and computing power is separate. When you scale up, it is live from one second to the next — constantly available as you scale — so there is no downtime or interruption of services."
"The features that I have found most valuable are the ease of use, the rapidness, how quickly the solution can be implemented, and of course that it's been very easy to move from the on-premise world to the Cloud world because Snowflake is based on SQL also."
"The product is quite fast."
"Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses."
"It helped us to build MVP (minimum viable product) for our idea of building a data warehouse model for small businesses."
"The adaptation to development languages is most valuable. Our developers can SQL code or something else. It has been convenient in that regard."
"As long as you don't need to worry about the storage or cost, this solution would be one of the best ones on the market for scalability purposes."
 

Cons

"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."
"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."
"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."
"For the end-users, it's not as user-friendly as it could be."
"In a future release we would like to have a link which would allow us to connect to an external database and create certain views in your own database. This is because it is becoming hard for us to compare the data between multiple sources."
"Snowflake needs transparency over costs and pricing."
"Snowflake has to improve their spatial parts since it doesn't have much in terms of geo-spatial queries."
"Its pricing or affordability is one of the big challenges. Pricing was the only thing that we didn't like about Snowflake. In terms of technical features, it is a complete solution."
"The scheduling system can definitely be better because we had to use external airflow for that. There should be orchestration for the scheduling system. Snowflake currently does not support machine learning, so it is just storage. They also need some alternatives for SQL Query. There should also be support for Spark in different languages such as Python."
"Currently, Snowflake doesn't support unstructured data."
"The solution could improve by allowing non-structured data, such as PDFs, images, or videos. We cannot see the data."
"If you go with one cloud provider, you can't switch."
 

Pricing and Cost Advice

"AWS Lake Formation is a bit expensive."
"There is a separation of storage and compute, so you only pay for what you use."
"It is on a monthly basis. It is based on your usage. There are no additional costs from the point of the licensing fee. We do give some kind of evaluation to the customers about how much it is going to be. You can decide in Snowflake the virtual machine that you are using for customers. There are several kinds of virtual machines that you can use. It is similar to the clothing sizes: small to extra large. If you need more power in the coming month, you can decide in advance and take a more powerful machine. You can just select it from the platform. You can also decide which machine you want to take for extracting data."
"We're based on credits. So, we're paying four and a half dollars of credit. There are no additional costs. I would rate it a two out of five in terms of pricing."
"Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
"The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
"The price of the solution is reasonable."
"I have not been billed yet, but it should be less. I'm still running the trial version, but it seems to be less than Databricks."
"There is a licensing for this solution and we purchased an enterprise license. Overall the solution is cost-effective."
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
844,944 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
14%
Manufacturing Company
9%
Government
5%
Educational Organization
40%
Financial Services Firm
12%
Computer Software Company
8%
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...
What do you like most about Snowflake?
The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
What is your experience regarding pricing and costs for Snowflake?
Snowflake's pricing is on the higher side, rated as eight out of ten. If there were ways to reduce costs, it would be a positive improvement.
What needs improvement with Snowflake?
Cost reduction is one area I would like Snowflake to improve. The product is not very cheap, and a reduction in costs would be appreciated.
 

Also Known As

No data available
Snowflake Computing
 

Overview

 

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Find out what your peers are saying about AWS Lake Formation vs. Snowflake and other solutions. Updated: March 2025.
844,944 professionals have used our research since 2012.