Serverless analytics
on Postgres

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Connect and receive 14 days free

Enbale in seconds

> pip install hydra-cli

Open source, Postgres-native

Predictable, serverless execution

Compute autoscaling

Bottomless, columnar storage

Sub-second response time

Automatic caching

Unlock real-time results
per process

Hydra offers predictable, sub-second response times at every scale. Every project includes compute autoscaling with automatic caching.

CREATE TABLE analytics.my_table
-- columns,type
);
Drop-in Simple setup

> CREATE TABLE analytics;

Hydra is column-oriented by default. To enable serverless analytics, simply create a table.  

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Hannes Mühleisen

Founder & CEO, DuckDB Foundation & DuckDB Labs

We're excited to see DuckDB coming to the PostgreSQL ecosystem with pg_duckdb. DuckDB's powerful analytical query processing capabilities nicely complement Postgres' strengths in transactional workloads.

Pete Hunt

Founder & CEO, Dagster

"Building on top of Postgres, we’ve been looking for ways to boost and scale analytical query performance. Using DuckDB execution in Postgres with pg_duckdb will be a game changer."

Tom Hacohen

Founder & CEO, Svix

"Having the same database handle both normal and analytics workloads is a game changer. No more syncing data to a separate database!"

Owain Brennan

Founder & CEO, SeerBi

"The pg_duckdb project is really exciting for us as a maritime data science lab. We can significantly increase the speed of our queries on our huge shipping datasets and it builds the analytics DB directly into the app database - this makes client handover simple."

Ovais Tariq

Founder & CEO, Tigris Data

"DuckDB-Powered Postgres is exciting! We think it can have a major impact on how users store and access data. Excellent work."

Harold Gimenez

SVP Engineering, HashiCorp

"Hydra makes exploration and analysis of large amounts of data accessible and familiar. Being built on Postgres and DuckDB, it’s standing on a proven technical foundation."

James Arthur

Founder & CEO, ElectricSQL

"As the marriage of Postgres and DuckDB, pg_duckdb unlocks the ability for local-first software to analyse data quickly, in place, without sending it half way round the cloud and back."

Jordan Tigani

Founder & CEO, MotherDuck

"pg_duckdb adds the power of the fastest growing analytical database to the fastest growing transactional one. Postgres with 100% more ducks, what's not to like?"

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“Hydra's columnar Postgres just works. We've run on Hydra for a year now without tuning performance. Great service!

Jose Tomos Lobos
at
Mono

“We are building the foundation of our analytics stack around Postgres. Hydra is a no-brainer and our data compressed by 5X."

Gary Sahota
at
Tether Data

“Hydra is a very well documented open source solution, and has an incredibly engaged team. They’ve always been welcoming to both paying and open source users through Github and Discord, and are quick to address any issues you encounter during and after implementation."

Lacrius
at
Hydra open source user

“Onboarding was done in one call, JD and Joseph are super helpful!”

Kevin Joo
at
Operator

”Hydra makes exploration and analysis of large amounts of data accessible and familiar. Being built on Postgres, it’s standing on a proven technical foundation."

Harold Gimenez
at
HashiCorp

“Hydra is a great solution for our database needs. It is efficient, fast, reliable and easy to integrate - without the hassles of big enterprise databases. Great tech support and overall great success.”

Amod Kumar
at
Cure
© 2024 Hydra
© 2024 Hydra