We performed a comparison between Kovair Data Lake and Oracle Big Data Appliance based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."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."
"This is a comprehensive solution that is easy to deploy."
"Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
"The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
"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."
"The product should be simplified for the average user."
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
"From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
Kovair Data Lake is ranked 18th in Data Warehouse with 2 reviews while Oracle Big Data Appliance is ranked 12th in Data Warehouse with 5 reviews. Kovair Data Lake is rated 8.0, while Oracle Big Data Appliance is rated 8.0. 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 Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". Kovair Data Lake is most compared with Oracle Exadata, whereas Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop, Teradata and Microsoft Azure Synapse Analytics.
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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.