We performed a comparison between AWS Lake Formation and Microsoft Parallel Data Warehouse 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."It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"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."
"The solution is quite good at handling analytics. It's done a good job at helping us centralize them."
"It is a very stable database."
"One of the most important features is the ease of using MS SQL."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"It is not a pricey product compared to other data warehouse solutions."
"The most valuable features are the performance and usability."
"It handles high volumes of data very well."
"Data collection and reporting are valuable features of the solution."
"It performs very well overall."
"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."
"AWS Lake Formation's pricing could be cheaper."
"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 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 the end-users, it's not as user-friendly as it could be."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The solution is expensive and has room for improvement."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"I think that the error messages need to be made more specific."
"I would like the tool to support different operating systems."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
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AWS Lake Formation is ranked 12th in Cloud Data Warehouse with 5 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews. AWS Lake Formation is rated 7.6, while Microsoft Parallel Data Warehouse is rated 7.6. 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 Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". AWS Lake Formation is most compared with Snowflake, Azure Data Factory, Amazon Redshift, Microsoft Azure Synapse Analytics and BigQuery, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and VMware Tanzu Greenplum. See our AWS Lake Formation vs. Microsoft Parallel Data Warehouse report.
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