We performed a comparison between Kovair Data Lake and Teradata 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 most valuable feature is the ability to interact with teachers in real-time and manage lessons after class."
"The tool's most valuable features for us are its combination of formatting, ETL, analytics, and storage capabilities."
"The two types of partitioning have been very significant for us - row and columnar partitioning."
"A conventional and easily defined way to build a data warehouse or a layer of data marts."
"Designing the database is easy."
"It handles large amounts of information with a linear performance increase, in relation to a HW investment."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"Improved performance of ETL procedures, reporting."
"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."
"We really enjoy the FastLoad, TPump, and MultiLoad features."
"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."
"Teradata's UI could be improved."
"Needs compatibility with more Big Data platforms."
"I think the UI is not there yet. It could be improved by being more user-friendly."
"Teradata can improve the way it handles big data and unstructured data."
"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."
"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."
"The scalability could be better. The on-premises solution is always more complicated to scale."
"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."
Kovair Data Lake is ranked 18th in Data Warehouse with 2 reviews while Teradata is ranked 3rd in Data Warehouse with 54 reviews. Kovair Data Lake is rated 8.0, while Teradata is rated 8.2. 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 Teradata writes "Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities". Kovair Data Lake is most compared with Oracle Exadata, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Kovair Data Lake vs. Teradata report.
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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.