TimescaleDB 1.4 introduces better performance for time-series analytics
Blog post from Tiger Data
TimescaleDB 1.4 has been released with several planner improvements and the ability to apply multiple continuous aggregates per hypertable, improving performance for time-series workloads by enabling users to speed up historical queries even further. The new release includes run-time constraint exclusion performance optimizations that allow users to benefit from constraint exclusion even for queries that cannot leverage PostgreSQL's built-in constraint exclusion during planning stage. Additionally, the new version enables users to apply multiple continuous aggregates per hypertable, reducing computation required during query time and enabling more flexible data storage options.
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