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Tiger Data - Creators of TimescaleDB
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Tiger Data - Creators of TimescaleDB
@TigerDatabase
Creators of @TimescaleDB. The fastest PostgreSQL cloud platform for time series, real-time analytics, and vector workloads. github.com/timescale
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Joined May 2025
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    Tiger Data - Creators of TimescaleDB
    @TigerDatabase
    Jun 17, 2025
    🐯 @TimescaleDB is now TigerData! 🚀 When we launched Timescale, the top Hacker News comment said it was “a bad idea.” PostgreSQL wasn’t supposed to be fast. Or scalable. Or useful for time-series. 8 years later: -2,000 customers -8-digit ARR -Most workloads aren’t even
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    Tiger Data - Creators of TimescaleDB
    @TigerDatabase
    Jul 1
    Float collects energy data every second. The Danish grid settles every 15 min. Continuous Aggregates bridge the gap: no batch jobs, no pipelines. 99.3% compression keeps it viable. tsdb.co/bjgkrzh1 @floatenergy #TimescaleDB
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    How Float Runs an AI Energy Company on a 3-Person Team with Tiger Data | Tiger Data
    From tigerdata.com
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    Tiger Data - Creators of TimescaleDB
    @TigerDatabase
    Jun 17
    Postgres handles 90% of workloads well. The other 10%: append-only writes, sustained ingest, time-range aggregations. If all three apply, you're not in a tuning problem. You're in an architecture problem. One query confirms it: tsdb.co/postgresql-fit…
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    Tiger Data - Creators of TimescaleDB
    @TigerDatabase
    Jun 17
    The focus of our June 17 newsletter: doing less unnecessary work on every layer of the stack. In this edition: ▪ TimescaleDB 2.27: bloom filter pruning extends to UPDATE, DELETE, and UPSERT, plus 30% to 2x faster vectorized execution ▪ When PostgreSQL isn't the right fit (and
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    TimescaleDB 2.27: 160x faster UPDATE/DELETE on compressed data
    From linkedin.com
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    Tiger Data - Creators of TimescaleDB
    @TigerDatabase
    Jun 8
    At Hannover Messe 2026, Tiger Data co-founder and CTO Mike Freedman sat with @IIoT_World co-founder Lucian Fogoros to break down how @TimescaleDB runs 10x faster than SQL Server, Oracle, or MongoDB at a fraction of the footprint. They also covered the formal partnership with
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    60% Infrastructure Cost Cut: TimescaleDB for Oil Fields
    From youtube.com
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