AWS Lake Formation vs Amazon Redshift comparison

Amazon Redshift and AWS Lake Formation are both solutions in the Cloud Data Warehouse category. Amazon Redshift is ranked #6 with an average rating of 7.8, while AWS Lake Formation is ranked #9 with an average rating of 8.1. Amazon Redshift holds a 7.0% mindshare in CDW, compared to AWS Lake Formation’s 4.1% mindshare. Additionally, 87% of Amazon Redshift users are willing to recommend the solution, compared to 85% of AWS Lake Formation users who would recommend it.

Amazon Redshift

Read 73 Amazon Redshift reviews

4,938 Views
3,308 Comparison Views

87% willing to recommend

AWS Lake Formation

Read 21 AWS Lake Formation reviews

1,976 Views
1,620 Comparison Views

85% willing to recommend

Amazon Redshift

AWS Lake Formation

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Executive SummaryUpdated on Apr 5, 2026

Amazon Redshift and AWS Lake Formation are leading players in the cloud data management and warehousing segment. Redshift appears to have the upper hand in data processing and scalability, while AWS Lake Formation excels in data governance and integration capabilities.

Features: Amazon Redshift offers scalability that supports the handling of petabytes of data, flexible node configuration, and multi-format file compatibility for data reading. Its distributed architecture enhances performance, and its VPC configuration ensures robust security. AWS Lake Formation stands out with its strong data governance capabilities, comprehensive data catalog, and automated data classification. It also effectively integrates with other AWS services for structured dataset management.

Room for Improvement: Amazon Redshift could improve in snapshot restoring speeds for large datasets and efficient data recovery across clusters. There are calls for better OLAP features and enhanced integration with other databases. AWS Lake Formation has limitations in external integration and lacks some advanced data management features, with users desiring improved support in real-time monitoring and audit capabilities.

Ease of Deployment and Customer Service: Amazon Redshift supports public, private, and hybrid cloud deployments, offering flexibility across setups. AWS Lake Formation is mainly utilized in public cloud environments. Both products provide reliable customer support, though advanced help for Redshift requires paid plans, and enhanced support services across AWS can be costly.

Pricing and ROI: Amazon Redshift is seen as cost-effective for larger data scales due to its pay-per-use model but can be expensive for smaller datasets. AWS Lake Formation’s pricing can be complex, influenced by integration with other services like S3, Glue, and Athena. Although Redshift might be more expensive than alternatives, its value increases with data volume. AWS Lake Formation's cost varies based on existing AWS usage, with optimizations necessary to maximize ROI.

To learn more, read our detailed AWS Lake Formation vs. Amazon Redshift Report (Updated: April 2026).

Buyer's Guide

AWS Lake Formation vs. Amazon Redshift

April 2026

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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

Amazon Redshift

Ranking in Cloud Data Warehouse

6th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (6th), Database Management Systems (DBMS) (8th)

AWS Lake Formation

Ranking in Cloud Data Warehouse

9th

Average Rating

8.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.0%, down from 7.4% compared to the previous year. The mindshare of AWS Lake Formation is 4.1%, down from 5.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Amazon Redshift	7.0%
AWS Lake Formation	4.1%
Other	88.9%

Cloud Data Warehouse

Featured Reviews

Hemanthreddy Vakiti

Data engineer at a tech vendor with 10,001+ employees

Optimized restaurant analytics has driven faster insights and streamlined daily reporting

Amazon Redshift offers massive parallel processing capability, allowing it to handle millions of records, along with integration with other AWS features such as S3 and QuickSight. The column-level storage supports high performance and easy data retrieval compared to other tools. The integration with S3 has helped my team immensely since S3 is our starting source, and the direct integration with Amazon Redshift simplifies the transformation and loading process. Columnar storage has benefited our performance significantly, allowing us to extract specific rows from tables with years of data much faster than other tools with row-level storage. Amazon Redshift has positively impacted our organization by significantly improving query performance and speed. Features such as easy integration with S3 allow us to process millions of records efficiently, ultimately saving us nearly one hour per day for our project.

Read full review

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.

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

"The most valuable feature is that the solution is fully embedded in the AWS stack."

"It is very easy to dump data into the tool."

"This service can merge and integrate well with all databases."

"It's scalable because it's on the cloud."

"Easy to build out our snowflake design and load data."

"The stability of Amazon Redshift is good."

"Redshift has had some scaling issues, but Redshift's performance overall is excellent."

"With the APIs that are available, it can be easily integrated with other tools."

More Amazon Redshift pros

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

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

"We use this to reduce latency from minutes to seconds, as we aim for real-time visibility into patient healthcare monitoring."

"The solution is quite good at handling analytics."

"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 solution is quite good at handling analytics. It's done a good job at helping us centralize them."

More AWS Lake Formation pros

Cons

"We recently moved from the DC2 cluster to the RA3 cluster, which is a different node type and we are finding some issues with the RA3 cluster regarding connection and processing."

"I’d like to see these RedShift features arrive in other languages, such as SQL's ColumnStore index."

"There is a need for improvement in these aspects, mainly in the scope of data types and some complex functionalities which we can perform in RDBMS."

"Amazon Redshift could improve the user interface support."

"The main issue people complain about, and I agree with the claim, is that it's hard to load your data into it."

"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."

"The explain panel in the Redshift database could be better."

"The speed of the solution and its portability needs improvement."

More Amazon Redshift cons

"Lake Formation could enhance its capabilities in audit logs, real-time monitoring, and advanced data governance."

"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."

"The initial onboarding process is challenging because creating a plan takes a month to a month and a half to build out."

"I haven't seen any measurable benefits from using AWS Lake Formation, such as time saving, resource saving, or efficiency improvements."

"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."

"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."

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

"Rather than creating an additional hundred tools, optimizing a tool to have a centralized location to do governance would be beneficial."

More AWS Lake Formation cons

Pricing and Cost Advice

"The part that I like best is that you only pay for what you are using."

"Amazon Redshift is an expensive solution. Larger organizations can afford this solution, but smaller businesses would struggle to afford it."

"I have heard complaints about the solution’s pricing, and thus I rate it as a five."

"The cost is comparable to Snowflake."

"The solution has very competitive pricing."

"The best part about this solution is the cost."

"It's pay per use. You can have multiple models."

"The product is cheap considering what it provides; I rate it five out of five for affordability."

More Amazon Redshift pricing and cost advice

"AWS Lake Formation is a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Construction Company

Financial Services Firm

22%

Manufacturing Company

Retailer

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	21
Large Enterprise	29

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

Questions from the Community

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 is your experience regarding pricing and costs for Amazon Redshift?

My experience with pricing and setup cost is satisfactory, as we have been loyal clients of Amazon since the beginning of our organization. However, I am not aware of the exact costs associated wit...

See all answers

What needs improvement with Amazon Redshift?

Amazon Redshift could improve by enhancing its UI to be more user-friendly for non-technical users and by offering better cost management, as similar tools tend to be less expensive. Additionally, ...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

Comparisons

Snowflake vs Amazon Redshift

Compared 14% of the time

Teradata vs Amazon Redshift

Compared 8% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 6% of the time

Amazon EMR vs Amazon Redshift

Compared 5% of the time

IBM Db2 Warehouse on Cloud vs Amazon Redshift

Compared 5% of the time

More Amazon Redshift Competitors

Snowflake vs AWS Lake Formation

Compared 12% of the time

Azure Data Factory vs AWS Lake Formation

Compared 11% of the time

Databricks vs AWS Lake Formation

Compared 11% of the time

BigQuery vs AWS Lake Formation

Compared 8% of the time

Microsoft Azure Synapse Analytics vs AWS Lake Formation

Compared 6% of the time

More AWS Lake Formation Competitors

Product Reports

Buyer's Guide

Amazon Redshift

May 2026

Download Amazon Redshift product report

Buyer's Guide

AWS Lake Formation

May 2026

Download AWS Lake Formation product report

Overview

Amazon Redshift is a dynamic data warehousing and analytics platform offering scalability and seamless AWS integration for high-performance query processing and diverse data management.

Amazon Redshift provides robust data integration capabilities with AWS services like S3 and QuickSight, enabling efficient data warehousing and analytics. It is known for fast query performance due to its columnar storage and can handle diverse file formats. With a user-friendly SQL interface, Redshift supports data compression and offers a strong cost-performance ratio. Its secure VPC configurations and compatibility with data science tools enhance its functionality, although there is room for improving snapshot restoration, dynamic scaling, and processing large datasets.

What are the key features of Amazon Redshift?

Scalability: Allows growth with business needs, accommodating increasing data volumes.
Massive Parallel Processing: Speeds up query performance through parallel data processing.
Seamless AWS Integration: Connects smoothly with services like S3 and QuickSight for enhanced functionality.
Columnar Storage: Enhances query performance by storing data in columns.
User-friendly SQL Interface: Simplifies data query and manipulation.
Data Compression: Efficiently compresses data to reduce storage costs.

What benefits should users look for in reviews?

Cost-Performance Ratio: Offers competitive pricing with high processing efficiency.
Fast Query Performance: Delivers quick data retrieval and processing speeds.
Security Features: Ensures data security through VPC configurations.
Integration Flexibility: Easily integrates with data science tools and BI platforms.

In industries, Amazon Redshift is essential for managing extensive datasets for business intelligence, operational insights, and reporting. It supports data integration from ERPs and S3, handles SQL queries for comprehensive analysis, and facilitates data storage and transformation. Companies use it for predictive modeling and connect with BI tools like Tableau and Power BI to derive actionable insights.

Amazon Web Services (AWS)

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)

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

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

Buyer's Guide

AWS Lake Formation vs. Amazon Redshift

April 2026

Free Report: AWS Lake Formation vs. Amazon Redshift

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