We performed a comparison between AWS Lake Formation and Snowflake Analytics based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution is quite good at handling analytics. It's done a good job at helping us centralize them."
"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."
"We use AWS Lake Formation typically for the data warehouse."
"The solution has many features that are applicable to events such as audits."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"Deployment is straightforward as it's a SaaS product. No maintenance required."
"What we found most valuable in Snowflake Analytics are its attributes that are very convenient for business use such as data sharing, cloning, time travel, and fail-safe. It's a good product all in all."
"It's not necessary to use a physical server."
"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."
"The platform not only provides ease of use but also stands out for its speedy execution, conveying a sense of robustness and reliability that I find appealing."
"It can run complex workloads with varied compute."
"It helps with business intelligence by providing analytics that can be reported."
"Very good flexibility and it offers computation completely decoupled from the storage."
"For the end-users, it's not as user-friendly as it could be."
"AWS Lake Formation's pricing could be cheaper."
"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."
"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."
"The UI must be improved."
"Snowflake's Snowpark is an area of concern where improvements are required."
"End-to-end execution of jobs isn't possible with Snowflake, which means we have to do some customization."
"Snowflake Analytics can improve the integration with machine learning tools and AI and it will make the solution more usable."
"The solution needs to consider including some updates in the future."
"One area that could benefit from enhancement is the user interface for more visual ESM features."
"The solution’s scalability could be improved."
"The tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises."
AWS Lake Formation is ranked 12th in Cloud Data Warehouse with 5 reviews while Snowflake Analytics is ranked 6th in Cloud Data Warehouse with 30 reviews. AWS Lake Formation is rated 7.6, while Snowflake Analytics is rated 8.4. The top reviewer of AWS Lake Formation writes "Strategically aligning data management in a multi-cloud environment with significant reporting challenges". On the other hand, the top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". AWS Lake Formation is most compared with Snowflake, Azure Data Factory, Amazon Redshift, Microsoft Azure Synapse Analytics and BigQuery, whereas Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox. See our AWS Lake Formation vs. Snowflake Analytics report.
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We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
