Hydra

What is Hydra

Hydra is an open source data warehouse built on Postgres. Hydra leverages columnar storage, vectorized execution, and query parallelization to efficiently serve online analytical processing of queries (OLAP). Unlike traditional warehouses, Hydra supports Postgres heap tables, indexing, and native partitioning to process high-throughput transactional writes, quick lookup and operational queries, and hybrid transactional/analytics processing workloads (HTAP). Hydra is the data warehouse for developers.

Hydra

Advantages

Fast

Hydra is the fastest Postgres database for analytics. Columnar storage, vectorization, and query parallelization allow Hydra to deliver 23x faster performance than Postgres and other Postgres vendors as shown with Clickbench.

Simple

Reduce complexity and defeat data silos by bringing all your data sources into one easy-to-use source of truth. Hydra brings OLTP, OLAP, and HTAP all under one roof, allowing companies to consolidate tools and streamline their data processing.

Adaptable

Different industries have different needs. Hydra believes an aerospace company, e-commerce retailer, or a crypto wallet should have warehouses that adapt to new business requirements. Real data ownership starts with open source. Start building without forking.

Community

Hydra goes beyond just a database by providing users with a community of data experts and innovators with diverse experience to make you fall in love with your data.

Hydra Alternatives

PostgreSQL

PostgreSQL

What is PostgreSQL?

PostgreSQL is an object-relational database management system (ORDBMS), the most advanced open-source database management system in the world.

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ClickHouse

ClickHouse

What is ClickHouse?

ClickHouse is an open-source columnar relational DBMS from Yandex for fast processing of analytical SQL queries on structured big data in real time.

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Amazon Redshift

Amazon Redshift

What is Amazon Redshift?

Amazon Redshift is columnar cloud-based data warehouse platform, which is useful for systems with a constant load – such as regular reporting and machine learning routines.

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