PgDog 已获得资助，即将登陆您的数据库。

PgDog 已获得资助，即将登陆您的数据库。
PgDog is funded and coming to a database near you

原始链接: https://pgdog.dev/blog/our-funding-announcement

PgDog 创始人 Lev Kokotov 认为，如果能够克服 PostgreSQL 的扩展性限制，它将是理想的数据库。为了解决这一问题，该团队开发了 PgDog，这是一个开源代理，旨在实现 PostgreSQL 的水平扩展，支持每秒超过 100 万次查询和 100TB 表的超大规模工作负载。 PgDog 的设计注重灵活性，可通过 Docker 在本地、任何云平台或私有环境中部署，只需简单更新 `DATABASE_URL` 即可使用。该工具在 Docker 上的下载量已超过 140 万次，并在生产环境中展现了每秒处理超过 200 万次查询的性能。其开发团队凭借在 Instacart 等公司扩展高流量基础设施方面的深厚背景，打造了这一工具。 PgDog 获得了包括 YC 和 Basis Set 在内的投资者 550 万美元的资金支持，旨在让 PostgreSQL 在任何规模下都能保持高性能，且无需承担 Serverless 替代方案带来的隐形成本。该团队保持每周更新，运营着一个活跃的 Discord 社区，并正在开发企业版，以期为 AWS 用户提供附带 SLA 的技术支持。

PgDog 是一款新近获得资助的工具，旨在为 PostgreSQL 提供水平扩展、连接池和负载均衡功能。它使用 Rust 编写，旨在提升数据库性能和可扩展性，且无需修改现有应用程序代码。在 Hacker News 上，用户正在积极讨论该项目的技术意义。尽管一些人对生产环境中每秒 200 万次查询（QPS）的性能表现印象深刻，但另一些人则对其底层架构以及实现该性能所需的硬件资源感到好奇。开发者 levkk 澄清说，该项目的主要目标是将这些高级功能引入 PostgreSQL 生态系统，而不仅仅是依靠 Rust 编程语言带来的速度优势。社区成员还就该工具的品牌塑造和吉祥物潜力进行了轻松有趣的讨论。

原文

Jun 10th, 2026 Lev Kokotov

Postgres is the only database you need.

The reason DBs like Mongo or Dynamo exist is because Postgres has a scaling problem. If you could make it just work, with 100 TB+ tables and 1M queries per second, we don’t think you would use anything else.

This is why we are building PgDog. Same old Postgres, just with a proxy in front of it, to make it horizontally scalable.

You can deploy PgDog anywhere, including on-prem and in your cloud account: pull our Docker image, change your DATABASE_URL, and make us do the work.

Our status

PgDog is serving more than 2M queries per second, in production, across dozens of deployments. We sharded over 20 TB that we know about.

PgDog is open source and anyone can just deploy it, and they do: we have over 1.4M Docker pulls on GitHub.

A new version comes out every week, on Thursdays. Our Discord community is growing. We are there, every day, to answer questions and provide support.

Why us

PgDog is a small, three-person startup. So, why use our stuff and trust us with your data?

We are infrastructure engineers, application engineers and generalists. We built apps on Postgres before it was cool and made it work at massive scale.

I ran Postgres at Instacart, where we scaled the company 5x in April of 2020. The biggest problem we had was making Postgres serve 100,000s of grocery delivery orders per minute.

We sharded Postgres on RDS, Aurora and EC2. We fixed the actual problem, using first principles (and a lot of code).

The same technology is now available as an open source product.

Building PgDog is not a pivot. For us, scaling Postgres has been, and is, the only goal.

We built PgDog to run in your cloud, in your colo rack, on-prem, or on your laptop. Wherever you need it, PgDog works, with no dependencies or hidden serverless costs. If you can provide CPUs, our multithreaded code will use them all.

Postgres adoption is only going to increase. With $5.5M from Basis Set, YC, Pioneer Fund and other great investors, we have years of runway, and we are going to make Postgres just work, for everyone, at any scale.

– Lev

P.S. We are building an Enterprise edition of PgDog to make it easier to run in AWS. It comes with SLA-backed support from our team. Give us a call if you want to try it out.