MariaDB adds support for big data analytics
MariaDB announces general availability of MariaDB ColumnStore 1.0, which is designed to provide a single SQL interface for analytic and transactional workloads.
MariaDB adds Big Data analytics support with ColumnStore 1.0
MariaDB Corp., the database company that sells a commercial version of the open-source MySQL database of the same name, is attempting to unite transactional and analytic processing in a single front end to deliver enterprise-grade, high-performance Big Data analytics. The company has just announced its latest new feature, MariaDB ColumnStore, which it claims will lower the cost of ownership, deliver better price performance, easier analytics and enable faster, more efficient queries. “Data…
Columnstore Index: Why do I need to create clustered columnstore Index on In-Memory OLTP table for Analytics?
The columnstore index on In-Memory table(s) targets real-time operational analytics (HTAP) allowing customers to eliminate the need for ETL (Extract, Transform and Load) into a separate Data Warehouse. For details on the scenario, please refer to https://blogs.msdn.microsoft.com/sqlserverstorageengine/2016/03/18/real-time-operational-analytics-a-short-video-on-the-value-proposition-in-sql-server-2016/ You can enable HTAP on disk-based tables by creating NCCI on one or more tables as shown…
Columnstore Index – How to Estimate Compression Savings
SQL product team has made significant improvements in columnstore index functionality, supportability and performance during SQL Server 2016 based on the feedback from customers. Please refer to List of Blogs for all blogs published by SQL Tiger Team on columnstore index. Issue When SQL Server team released ROW and PAGE compression in SQL Server 2008,...
Columnstore Index Performance: Rowgroup Elimination
As described in Column Elimination , when querying columnstore index, only the referenced columns are fetched. This can potentially reduce IO/memory footprint of analytics queries significantly and speed up the query performance. While this is good, the other challenge with columnstore index is how to limit the number of rows to be read to process...
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