Hydra 1.0 – open-source column-oriented Postgres
hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…
Hydra 1.0 – open-source column-oriented Postgres launched on August 3, 2023 with 269 votes, #118 of 4,347 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Hydra is an open-source, column-oriented database that extends Postgres to accelerate analytical queries. It automatically converts and compresses data into columnar format, enabling fast aggregates on billion-row datasets without requiring code changes. Users connect via standard Postgres clients like psql or DBeaver. Hydra solves the problem of slow analytical queries that consume database resources, allowing complex analytics to run in minutes rather than hours while keeping operational performance intact.
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From the sources
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In the maker’s words, at launch
hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog…
Does a similar job
all alternatives →- HOHydra - Open-Source Columnar Postgres2023 · hydra.so · ▲122
hi hn, hydra ceo here hydra is an open-source extension that adds columnar tables to Postgres for efficient analytical reporting. With Hydra, you can analyze billions of rows instantly without changing code. demo video (5 min): https://youtu.be/1yzxgb0Oyrw github repo: https://github.com/hydradatabase/hydra For 1.0 GA release, aggregate queries are over *60% faster* than Hydra beta due to aggregate vectorization. Spatial indexes (gin, gist, spgist, and rum indexes) and pg_hint_plan are now enabled for performance optimization. postgres is great, but…

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