TimescaleDB (by Tiger Data) (@TimescaleDB) / X

TimescaleDB (by Tiger Data)

5,903 posts

TimescaleDB (by Tiger Data)

@TimescaleDB

Now @tigerdatabase. The modern cloud platform built on PostgreSQL for time series, events, and analytics (and vectors too). ⭐️ - github.com/timescale.

🌎 Employees Worldwide

Joined July 2015

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TimescaleDB (by Tiger Data)
@TimescaleDB
Jun 17, 2025
🐯 Timescale is now TigerData! 🚀 Eight years ago, we started as a PostgreSQL-based time-series database. But innovation never stands still—and neither have we. Today, we proudly unveil @TigerDatabase, marking our evolution into the fastest and most powerful PostgreSQL
GIF
TimescaleDB (by Tiger Data)
@TimescaleDB
Jul 30
Time-series analytics at scale creates operational friction. Refreshes block each other, configuration changes require rebuilds, new aggregates mean recomputing entire rollups. TimescaleDB 2.28 changes that. 1/5
TimescaleDB (by Tiger Data)
@TimescaleDB
Jul 29
Your factory generates millions of data points per hour. Your cloud bills are crushing. Your dashboards show yesterday's alarms. This is an architecture problem, not a tool problem. New: @michaelfreedman on the Energy Tech Podcast talks edge-to-cloud operational data.
TimescaleDB (by Tiger Data)
@TimescaleDB
Jul 29
Millions of sensor readings per hour. You're told you need a second database for analytics. Not true. Doug Pagnutti explains how to keep it all on Postgres with time-series primitives. 🎧 Listen here: therobotreport.com/how-time-serie…
TimescaleDB (by Tiger Data)
@TimescaleDB
Jul 28
Vector search in Postgres is simple until your data grows. Then it's an index design problem. Four constraints decide the right index: memory, recall, write volume, filter selectivity. HNSW, IVFFlat, StreamingDiskANN, or hybrid with BM25. Decision guide: tsdb.co/v9n4ire4
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