We performed a comparison between kdb+ and Vertica based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools."The solution returns data quickly, and data retrieval is fast in kdb+."
"The most valuable feature is Vertica's performance and the ease of using the database."
"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."
"The extensibility and efficiency provided by their C++ SDK."
"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."
"The solution is quick, has good compression data, and is not expensive."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. "
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"The solution should have a more user-friendly user interface."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"The geospatial functionality could be designed better."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"Very bad support, I would rate it two out of 10."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
kdb+ is ranked 19th in Relational Databases Tools with 1 review while Vertica is ranked 4th in Data Warehouse with 83 reviews. kdb+ is rated 9.0, while Vertica is rated 8.2. The top reviewer of kdb+ writes "An easy-to-deploy solution that can be used for data ingestion and usage". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". kdb+ is most compared with Oracle Database In-Memory, MariaDB, SingleStore and SQL Server, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata.
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