We performed a comparison between Kovair Data Lake and Microsoft Parallel Data Warehouse based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The tool's most valuable features for us are its combination of formatting, ETL, analytics, and storage capabilities."
"The most valuable feature is the ability to interact with teachers in real-time and manage lessons after class."
"It is a very stable database."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"It is not a pricey product compared to other data warehouse solutions."
"It is a stable solution...It is a scalable solution."
"The solution has been reliable."
"The data transmissions between the data models is the most valuable feature."
"The most valuable feature is the business intelligence (BI) part of it."
"The most valuable feature for me is querying."
"Maybe the chat conversation feature could be improved."
"The solution is expensive. For future releases, it would be beneficial if Kovair Data Lake could enhance its ETL and data capabilities."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The product must provide more frequent updates."
"More tools to help designers should be included."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The solution is expensive and has room for improvement."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"If the database is large with a lot of columns then it is difficult to clean the data."
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Kovair Data Lake is ranked 18th in Data Warehouse with 2 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews. Kovair Data Lake is rated 8.0, while Microsoft Parallel Data Warehouse is rated 7.6. The top reviewer of Kovair Data Lake writes "Ability to interact with teachers in real-time and manage lessons after class". 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". Kovair Data Lake is most compared with Oracle Exadata, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake. See our Kovair Data Lake vs. Microsoft Parallel Data Warehouse report.
See our list of best Data Warehouse vendors.
We monitor all 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.
