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Alternatives

Products that do what PgCat, Postgres pooler with sharding, load balancing and failover does

  1. 1
    PgDog227

    Scale PostgreSQL without changing your app

    Jul 2026 · pgdog.dev

  2. 2PS

    Hey HN! Lev and Justin here, authors of PgDog (https://pgdog.dev/), a connection pooler, load balancer and database sharder for PostgreSQL. If you build apps with a lot of traffic, you know the first thing to break is the database. We are solving this with a network proxy that works without requiring application code changes or database migrations. Our post from last year: https://news.ycombinator.com/item?id=44099187 The most important update: we are in production. Sharding is used a lot, with direct-to-shard queries (one shard per query) working pretty much…

    Feb 2026 · github.com

  3. 3SA

    hey hn, supabase ceo here this is a postgres connection pooler. it’s similar to pgbouncer, but built with Elixir and specifically designed for multi-tenancy. it’s still under development, but it’s at a stage where we can gather a feedback from the community and you can try it yourself. we aren’t using this in production yet, but aiming to deploy it for a subset of databases in the next 2 months. We have the following benchmarks (details in the readme): - Elixir Cluster maintaining 400 connections to a single Postgres database - 1_000_000 clients connecting to the Elixir cluster - Sending…

    2023 · github.com

  4. 4PS

    Hey HN! Lev here, author of PgDog (https://github.com/pgdogdev/pgdog). I’m scaling our favorite database, PostgreSQL. PgDog is a new open source proxy, written in Rust, with first-class support for sharding — without changes to your app or needing database extensions. Here’s a walkthrough of how it works: https://www.youtube.com/watch?v=y6sebczWZ-c Running Postgres at scale is hard. Eventually, one primary isn’t enough at which point you need to split it up. Since there is currently no good tooling out there to do this, teams end up breaking their apps…

    2025 · github.com

  5. 5PT

    PgQueuer is a minimalist, high-performance job queue library for Python, leveraging the robustness of PostgreSQL. Designed for simplicity and efficiency, PgQueuer uses PostgreSQL's LISTEN/NOTIFY to manage job queues effortlessly.

    2024 · github.com

  6. 6PI

    Hey, Sam and the team from ElectricSQL here. PGlite is a WASM Postgres build packaged into a TypeScript/JavaScript client library, that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It's 3mb Gzipped, now has support for many Postgres extensions, including pgvector, and it has a reactive "live query" API. It's also fast, with CRUD style queries executing in under 0.3 ms, and larger, multi-row select queries occurring within a fraction of a single frame. PGlite started as an experimental project we shared on X, and the…

    2024 · pglite.dev

  7. 7PN

    pg_netstat is a Postgres extension to monitor database network traffic. It uses libpcap to capture packets and aggregates at user-specified interval.

    2022 · github.com

  8. 8
    PostHog467

    An all-in-one product analytics suite you can self-host

    2021

  9. 9CR

    Hey HN, I built pg-mcp, a Model Context Protocol (MCP) server for PostgreSQL that provides structured schema inspection and query execution for LLMs and agents. It's multi-tenant and runs over HTTP/SSE (not stdio) Features - Supports multiple database connections from multiple agents - Schema Introspection: Returns table structures, types, indexes and constraints; enriched with descriptions from pg_catalog. (for well documented databases) - Read-Only Queries: Controlled execution of queries via MCP. - EXPLAIN Tool: Helps smart agents optimize queries before execution. - Extension…

    2025 · github.com

  10. 10PR
  11. 11HF
  12. 12

    The future of serverless databases

    2025

  13. 13PC

    Hello HN! Keeping Elasticsearch or Algolia in sync with Postgres is a pain when your data spans multiple tables. Traditional CDC tools like Debezium capture table-level events but don’t help when you need to index a full entity composed of related records. That's why I built PG-Capture. PG-Capture lets you define a schema as complex as you need, aggregate table-level events, and reconstruct structured objects spanning multiple tables. It then publishes them as meaningful domain-level events to any queue (RabbitMQ, SQS, etc.). PG-Capture does NOT replace Debezium, it works on top of it (or…

    2025 · pg-capture.onrender.com

  14. 14PJ
  15. 15BP

    Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…

    2024 · github.com

  16. 16SO
  17. 17PP
  18. 18PD
  19. 19EA

    pglite-fusion is a PostgreSQL extension that allows you to embed SQLite databases into your PostgreSQL tables by enabling the creation of columns with the `SQLITE` type. This means every row in the table can have an embedded SQLite database. In addition to the PostgreSQL `SQLITE` type, pglite-fusion provides the `query_sqlite`` function for querying SQLite databases and the `execute_sqlite` function for updating them. Additional functions are listed in the project’s README. The pglite-fusion extension is written in Rust using the pgrx framework [1]. ---- Implementation Details The PostgreSQL…

    2024 · github.com

  20. 20PP

    I created this small guide for people starting with postgresql. I added some queries I commonly used as well. Any feedback?

    2023 · github.com

  21. 21NP

    If you’ve ever dealt with scaling PostgreSQL, you know the traditional process-per-connection model just doesn’t cut it when you're handling massive numbers of connections, particularly short-lived ones. When I led architecture at The Meet Group, which had one of the largest deployments of Postgres in the world, we optimized everything: connection pools in the app tier, as a man-in-the-middle, and even on the database server. It ran great, but it was a pain in the ass to manage and debug. Now, as co-founder and CEO of NEXTGRES, I've been working on a better and more seamless solution:…

    2024 · medium.com

  22. 22GF

    2015 · github.com

  23. 23SP

    This is a MVP for Serverless Postgres. 1/ It uses Fly.io[0], which can automatically pause your database after all connections are released (and start it again when new connections join). 2/ It uses Oriole[1], a Postgres extension with experimental support for S3 / Decoupled Storage[2]. 3/ It uses Tigris[3], Globally Distributed S3-Compatible Object Storage. Oriole will automatically backup the data to Tigris using background workers. I wouldn't recommend using this in production, but I think it's in a good spot to provoke some discussion and ideas. You can get it running…

    2024 · github.com

  24. 24

    Hands-on tutorials to learn Postgres

    2022

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