project
PostgreSQL extension for time-series and analytics workloads, adding automatic chunk partitioning, compression, and continuous aggregates for fast queries.
No evidence-backed relationships are recorded.
Timescale measured a 20-byte sensor reading at 95.6 bytes per row on Postgres 16 once tuple headers and one index are counted. Over two years at 10,000 tags, that turns a 12 TB plan into 60 TB, and a loaded pilot table can show the gap before the schema review.
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A dev.to design guide moves JSON documents and vector search into one PostgreSQL instance, and the evidence it offers is operational: deleted ETL pipelines and sync bugs, with no query timings on either side.
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Gleb Tcivie's open source monitoring tool outgrew Prometheus once node identity in metric labels blew past the 10-second scrape budget. It now runs on one Postgres database with TimescaleDB.
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The new DeferredChunkAppend node leaves a hypertable unexpanded until execution, so planning time no longer grows with chunk count. The same release drops PostgreSQL 15, which puts that payoff behind a database upgrade.
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A new Go project says it survives 5,000 checks by splitting control plane from probes. The more useful part is its accounting of what running nine Kumas actually costs.
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A Tiger Data explainer traces the gap to late-arriving rows, and to the fact that four refresh strategies filed under one label disagree precisely there.
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