AWS Lake Formation vs Snowflake comparison

Why PeerSpot?

Amazon Web Services (AWS) and Snowflake Computing are both solutions in the Cloud Data Warehouse category. Amazon Web Services (AWS) is ranked #4 with an average rating of 8.1, while Snowflake Computing is ranked #1 with an average rating of 8.1. Amazon Web Services (AWS) holds a 3.3% mindshare in CDW, compared to Snowflake Computing’s 15.4% mindshare. Additionally, 85% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 96% of Snowflake Computing users who would recommend it.

AWS Lake Formation

Read 21 AWS Lake Formation reviews

2,858 Views
2,201 Comparison Views

85% willing to recommend

Snowflake

Read 108 Snowflake reviews

19,422 Views
8,740 Comparison Views

96% willing to recommend

AWS Lake Formation

Snowflake

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 1, 2026

Snowflake and AWS Lake Formation are two prominent solutions for managing data storage and access in the cloud. Snowflake has a favorable edge with users for pricing and support due to its scalability and flexibility, while AWS Lake Formation is seen as superior regarding security features, integrated AWS ecosystem capabilities, and cost-effectiveness for larger infrastructure deployments.

Features: Snowflake offers seamless scalability, high-speed distributed processing, and supports diverse file formats like CSV, JSON, and GZIP. AWS Lake Formation is known for its robust security features, ease of connection within the AWS environment, and presenting a unified ecosystem for AWS-native services users.

Room for Improvement: Snowflake could enhance its spatial capabilities, streamline Snowpipe auto-ingestion, and improve pricing transparency. AWS Lake Formation could integrate better with third-party services, enhance data governance, and improve cross-account sharing capabilities.

Ease of Deployment and Customer Service: Snowflake is praised for its scalability and ease of deployment, although its support lacks SLAs. AWS Lake Formation excels in seamless deployment within AWS but may be less flexible across non-AWS environments, with responsive customer service, facing complexities in customized support.

Pricing and ROI: Snowflake's consumption-based pricing is seen as high compared to cloud services like Redshift but offers strong ROI through productivity enhancements. AWS Lake Formation is reasonably priced within the AWS ecosystem, enhancing ROI through integration benefits and comprehensive service offerings.

To learn more, read our detailed AWS Lake Formation vs. Snowflake Report (Updated: September 2026).

Buyer's Guide

AWS Lake Formation vs. Snowflake

September 2026

Download the complete report

Helped 920,769 peers since 2012

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

4th

Average Rating

8.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Snowflake

Ranking in Cloud Data Warehouse

1st

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

108

Ranking in other categories

Data Warehouse (1st), AI Synthetic Data (1st), Database Management Systems (DBMS) (6th), AI Software Development (8th)

Mindshare comparison

As of November 2026, in the Cloud Data Warehouse category, the mindshare of AWS Lake Formation is 3.3%, down from 5.2% compared to the previous year. The mindshare of Snowflake is 15.4%, down from 16.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Snowflake	15.4%
AWS Lake Formation	3.3%
Other	81.3%

Cloud Data Warehouse

Featured Reviews

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.

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SunilPatil1

Asset Builder at Genpact - Headstrong

Have prioritized security while managing multi-agent data migration and cloud adoption

We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation. Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.

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

"There is no doubt that this place exceeded my expectations with its incredible ambiance, attentive service, and mouthwatering menu."

"Every solution has its pros and cons, however, for our purposes, this solution works quite well for us."

"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."

"In the shortest form, what I appreciated about AWS Lake Formation was that the schema definition and data cataloging were quite good."

"AWS Lake Formation has several valuable features that enhance data management, and one particularly beneficial aspect is how it facilitates better collaboration within data teams."

"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."

"I can easily move data from cold storage to regular storage."

"The solution has many features that are applicable to events such as audits."

More AWS Lake Formation pros

"The product is stable and the performance is excellent."

"We were able to implement the entire data eco-system in less than five months, from data integration, data warehousing, ELT, producing fact and dimensional tables, and finally reports."

"Snowflake's data sharing capability with other enterprises is the best feature they offer, which is excellent for us as a software company."

"The initial setup is straightforward. You just need to follow the documentation."

"I'd definitely recommend the product."

"The Mbps they have established is quite a bit faster than any other data warehouse."

"This solution has helped our organization by being easy to maintain and having good technical support."

"Snowflake is a database, and it is very good and useful. The most interesting part is that memory management is very good in Snowflake. For a business intelligence project, SQL Server is taking a lot of time for reporting services. There are a lot of calculations, and the reporting time is shown as two minutes, whereas Snowflake is taking just two seconds for the same reporting services."

More Snowflake pros

Cons

"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."

"The main challenge we faced with AWS Lake Formation was related to cross-account sharing. Granting access to other AWS accounts for tables or databases in a different AWS account was somewhat difficult."

"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."

"I would appreciate online support, which I don't have access to in my corporation at the bank, so that is important."

"The UI of AWS Lake Formation is not very responsive."

"Athena can be a bit clunky when writing queries, indicating a potential enhancement point for easier user interaction with query tools such as DataGrip using provided driver JARs."

More AWS Lake Formation cons

"Snowflake could improve if they had an Operational Data Store(ODS) space."

"Sizing seems to be a bit of trial and error."

"These days, they are pushing users towards the GUI or graphical version. However, I am more familiar with the classic version. I'd like to continue to work with it using the older approach."

"The UI could improve because sometimes in the security query the UI freezes. We then have to close the window and restart."

"The solution needs more connectors."

"Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."

"I don't know about GCP, if they have connected for GCP. If they don't, they should allow for it."

"Pricing is an issue for many customers."

More Snowflake cons

Pricing and Cost Advice

"AWS Lake Formation is a bit expensive."

"Snowflake licensing is more flexible and it is cheaper than other solutions. I can use it for only 10 days for MVP, or three years, and for flexible models. I can scale up, or down, and the pricing is based on the volume and duration. There are many licensing permutation combinations available."

"Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."

"Snowflake is expensive, but when I consider what we get for that price, it's fair. I rate the solution three out of five for affordability, right in the middle."

"On average, with the number of queries that we run, we pay approximately $200 USD per month."

"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."

"The price for the solution's license depends on the use cases."

"Part of the problem with the pricing is that it is very difficult for businesses to get an idea of how expensive it might be until they actually start using Snowflake."

"You need to be aware of the bloating costs. It is easy to use, but if you don't use it wisely, then your monthly bill can bloat a lot. You need to be a bit aware of its consumption cost."

More Snowflake pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Outsourcing Company

13%

Manufacturing Company

Construction Company

Financial Services Firm

17%

Manufacturing Company

11%

Outsourcing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	15

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	20
Large Enterprise	61

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...

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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...

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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...

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What is your experience regarding pricing and costs for Snowflake?

We find the metering and billing experience for Snowflake to be expensive because there are many limitations to what it can do. When we compared performance-wise and cost-wise to Bedrock for some o...

See all answers

What needs improvement with Snowflake?

Lessons learned about our main use case or how Snowflake performed in those areas include that the sales representatives do not really understand the product, and that the solutions consultants bas...

See all answers

What is your primary use case for Snowflake?

Our main use case for Snowflake was to ingest data, use it for search, analytics, and data sharing with our customers; however, in reality, those use cases did not work. When it came to our challen...

See all answers

Comparisons

Amazon Redshift vs AWS Lake Formation

Compared 12% of the time

Azure Data Factory vs AWS Lake Formation

Compared 8% of the time

Databricks vs AWS Lake Formation

Compared 8% of the time

BigQuery vs AWS Lake Formation

Compared 6% of the time

Microsoft Azure Synapse Analytics vs AWS Lake Formation

Compared 6% of the time

More AWS Lake Formation Competitors

Teradata vs Snowflake

Compared 6% of the time

Microsoft Azure Synapse Analytics vs Snowflake

Compared 6% of the time

Databricks vs Snowflake

Compared 5% of the time

Amazon Redshift vs Snowflake

Compared 4% of the time

OpenText Analytics Database (Vertica) vs Snowflake

Compared 4% of the time

More Snowflake Competitors

Product Reports

Buyer's Guide

AWS Lake Formation

October 2026

Download AWS Lake Formation product report

Buyer's Guide

Snowflake

October 2026

Download Snowflake product report

Also Known As

No data available

Snowflake Computing, Snowflake Data Cloud

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)

Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.

Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.

What are Snowflake's Key Features?

Scalability: Easily adjusts to handle growing data volumes.
Seamless Integration: Works with a wide range of platforms.
Consumption-Based Costs: Pay only for what you use.
Time Travel: Access historical data effortlessly.
Data Sharing: Secure and efficient sharing of datasets.
Time Zone Conversion: Built-in feature for global operations.
Security: Robust measures to protect sensitive information.
Compute and Storage Separation: Independent scaling for optimal performance.

What Benefits Should You Look for?

Cost Efficiency: Optimized pricing models for minimal waste.
Enhanced Performance: Fast queries and processing times.
Flexibility: Handles both structured and semi-structured data.
Analytics Capabilities: Supports advanced data analysis and reporting.

In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.

Snowflake Computing

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops

Buyer's Guide

AWS Lake Formation vs. Snowflake

September 2026

Free Report: AWS Lake Formation vs. Snowflake

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