AI agents struggle with latency and context switching. Redis fixes it with a fast, in-memory layer for short-term context—plus native support for vectors and semi-structured data to keep real-time workflows on track.
We’ve quietly evolved from a time-series database into the modern PostgreSQL for today’s and tomorrow’s computing, built for performance, scale, and the agentic future.
So we’re changing our name: from Timescale to TigerData. Not to change who we are, but to reflect who we’ve become. TigerData is bold, fast, and built to power the next era of software.
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