AWS Lake Formation Reviews

Name: AWS Lake Formation
Brand: Amazon Web Services (AWS)
Rating: 4 (7 reviews)

3.8 out of 5

7 reviews
83% willing to recommend

What is AWS Lake Formation?

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

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AWS Lake Formation is the #12 ranked solution in top Cloud Data Warehouse solutions. PeerSpot users give AWS Lake Formation an average rating of 7.6 out of 10. AWS Lake Formation is most commonly compared to Azure Data Factory: AWS Lake Formation vs Azure Data Factory. AWS Lake Formation is popular among the large enterprise segment, accounting for 73% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 21% of all views.

Helped 814,763 peers since 2012

Featured reviews

Ramesh Raghavan

US South Lead, Accenture AWS Business Group at Accenture

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.

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Vishal Dhamke

Vice President Application Security North America at BNP Paribas

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. For AWS, currently, we are facing the challenge when previewing. On AWS, we have set up a scanner instance with a Nexus scanner. For some reason, the scanner instance has been set up on AWS so that if it's in one region or maybe if it is deployed on one subnet, the other subnet is not reachable within the same region. The scanner is not reachable to the different subnets. For example, if there is a subnet A where the scanner is deployed, and if we want to scan the subnet B within the same region, the scanner is not reachable due to the fact that it's in Subnet A. That's a problem we are currently facing and trying to troubleshoot that.

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Burak Koban

AWS Solution Architect at bcaa

Our data team uses the solution for ETL jobs AWS Lake Formation lets you see all your data and tables on one screen. It's a good product to have everything under one service. In order to be able to do ETL jobs and create some tables from the S3 buckets, you have to use a few different services.…

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AWS Lake Formation mindshare

As of November 2024, the mindshare of AWS Lake Formation in the Cloud Data Warehouse category stands at 7.1%, down from 9.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Data Warehouse

Key learnings from peers

Last updated Sep 19, 2024

Valuable Features

"AWS Lake Formation works hand in hand with other products."
"AWS Lake Formation lets you see all your data and tables on one screen."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."

Room for Improvement

"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."
"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."