TimescaleDB in 2024: Making Postgres Faster
If I had to summarize 2024 for Timescale, I’d call it the year of Postgres for AI. From game-changing open-source launches like pgvectorscale (a performance booster for large production vector workloads with PostgreSQL + pgvector) to pgai (which integrates Postgres with LLMs for AI app development), we pushed the boundaries of what developers can achieve with Postgres. But AI wasn’t the only story. TimescaleDB’s time-series capabilities also evolved dramatically during 2024, making Postgres even faster for real-time analytics. For those of you who don’t know, TimescaleDB is a PostgreSQL extension for high-performance real-time analytics on time series and event data. It is available as an open-source extension or fully managed on Timescale Cloud. I love TimescaleDB (I was a user well before I worked at Timescale ❤️), so in the spirit of sharing that love, here are my top five TimescaleDB features from 2024 and why you should care (or at least why I do
If I had to summarize 2024 for Timescale, I’d call it the year of Postgres for AI. From game-changing open-source launches like pgvectorscale (a performance booster for large production vector workloads with PostgreSQL + pgvector) to pgai (which integrates Postgres with LLMs for AI app development), we pushed the boundaries of what developers can achieve with Postgres. But AI wasn’t the only story. TimescaleDB’s time-series capabilities also evolved dramatically during 2024, making Postgres even faster for real-time analytics.
For those of you who don’t know, TimescaleDB is a PostgreSQL extension for high-performance real-time analytics on time series and event data. It is available as an open-source extension or fully managed on Timescale Cloud.
I love TimescaleDB (I was a user well before I worked at Timescale ❤️), so in the spirit of sharing that love, here are my top five TimescaleDB features from 2024 and why you should care (or at least why I do
