Just published: Ever had to «Scale beyond Postgres»?
You may have started with a simple ETL pipeline and crunched critical business logic into useful dashboards, but speed and scale didn't grow with data at some point, and it's the concurrent user.
✨ Below are some highlights from the article.
You may have started with a simple ETL pipeline and crunched critical business logic into useful dashboards, but speed and scale didn't grow with data at some point, and it's the concurrent user.
✨ Below are some highlights from the article.
Comments
1. Cloud data warehouses (Snowflake, Redshift, BigQuery, Microsoft Fabric, Firebolt)
2. Real-time analytical databases (ClickHouse, Pinot, Druid, DuckDB, Starrocks, Doris, Kylin).
And related sub-categories (Streaming, Vector, Federation)
↠ Beyond speed: Unique strengths in SQL, operations & streaming.
↠ Memory matters: Real-time DBs keep hot data in memory.
More insights on the article linked above.