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Introducing Direct Compress: Up to 40x Faster, Leaner Data Ingestion for Developers (Tech Preview)

Blog post from Tiger Data

Post Details
Company
Date Published
Author
Sven Klemm
Word Count
1,940
Company Posts That Month
4
Language
English
Hacker News Points
-
Post removed?
No
Summary

Direct Compress is a newly introduced feature in TimescaleDB that enhances data ingestion by compressing data in memory during the ingestion process, resulting in up to 40x faster performance and immediate storage efficiency. This feature, currently in tech preview for TimescaleDB 2.21, addresses traditional challenges such as excessive I/O overhead and dependency on background compression jobs by writing compressed batches directly to disk, thus eliminating the need for individual WAL records and optimizing storage. Benchmark tests demonstrated significant improvements, with a 37x increase in performance for uncompressed insertions of narrow tables, while more complex schemas showed variable results based on data types. Direct Compress requires batched client operations to function effectively and is compatible with existing TimescaleDB features, although it necessitates certain configuration adjustments for optimal performance. The development of this feature is part of TimescaleDB's ongoing efforts to improve real-time analytics capabilities and reduce storage costs, making it particularly beneficial for applications handling high-volume time-series data.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Data Pipeline 4 486 189 75 -14%
MCP 3 3,092 268 116 -19%
Real-time 1 4,065 968 231 -6%
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