Show HN:Hydra(YC W22)—— 基于 Postgres 的无服务器分析
Show HN: Hydra (YC W22) – Serverless Analytics on Postgres

原始链接: https://www.hydra.so/

Hydra结合了Postgres和DuckDB的强大功能,可在您现有的Postgres数据库中直接提供高性能分析能力。它提供可预测的、亚秒级的规模化分析,并具有自动扩展和自动缓存功能。其优势包括无服务器执行模型、无限列式存储和闪电般的查询性能。 用户赞扬Hydra易于使用、开源性质和优秀的支持。实际应用范围从提升事务工作负载中的分析查询性能到加速大型数据集上的数据科学任务。通过在一个数据库中同时启用事务和分析工作负载,Hydra消除了数据同步的需要,并简化了客户端切换。它还因其数据压缩和完善的开源解决方案以及积极主动的支持团队而受到好评。总而言之,对于任何希望释放其Postgres数据分析潜力的用户来说,Hydra都是一个改变游戏规则的工具。

Hydra,一家YC W22的创业公司,提供直接在Postgres上运行的无服务器分析服务,无需单独的分析数据库。传统上,作为行存储数据库的Postgres,在分析处理速度上比列存储数据库慢。Hydra通过在Postgres旁边提供一个列存储来弥合这一差距,从而能够快速分析事件、时间序列数据等,无需数据复制。 Hydra将计算和存储分离,使用无服务器处理为每个查询自动配置资源,避免与事务性工作负载发生资源竞争。它利用列存储、元数据进行高效检索、并行执行和自动缓存来提高速度。一个关键特性是能够使用SQL直接连接Postgres中的列存储表和标准行表。 创始人正在积极参与Hacker News社区,解答关于自托管、数据共享、定价、用例和竞争等问题。

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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.

"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."

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

"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."

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."

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."

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."

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?"

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

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

“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."

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

”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."

“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.”

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