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Products that do what pganalyze does

Automated EXPLAIN Plan Visualization & Insights for Postgres

  1. 1PN

    We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org

    2022 · postgresml.org

  2. 2PI
  3. 3

    The in-browser Postgres sandbox with AI assistance

    2024 · database.build

  4. 4PQ

    This is like 4 years old, but I’m braver now and ready to share stuff with this community. I’ve been a lurker for a while. I made this tool - it’s kind of like “explain” but it tells you about what locks would be required by the query. I was making it as part of a larger tool that would try to prevent deadlocks during migrations at my last company, I never finished it.

    2023 · github.com

  5. 5

    Hands-on tutorials to learn Postgres

    2022

  6. 6PF
  7. 7PI

    This is a Postgres extension that can determine if a query should have an index. For example, for this table: create table book( id int primary key, title text not null ); You can run `index_advisor()` to see if there should be an index on a select statement: select * from index_advisor('select book.id from book where title = $1'); And it will return (summarized): {"CREATE INDEX ON public.book USING btree (title)"} It works particularly well with pg_stat_statements[0] which tracks execution statistics of all SQL statements executed on your Postgres database. It leans heavily on HypoPG[1], an…

    2024 · github.com

  8. 8AU
  9. 9PS

    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

  10. 10IB

    Hey HN, Some of you were really interested in Postgres logging with pgAudit in my previous post here: https://news.ycombinator.com/item?id=37082827 So I built this logger: https://rocketgraph.io/logger-demo using pgAudit to show you what can be done with Postgres auditing. It offers some powerful features like "get me all the CREATE queries that ran in the past hour". These are generated by AWS RDS Instance running on my Rocketgraph account. Then they are forwarded to Cloudwatch for complex querying. In the future we can connect these logs to slack so you can…

    2023 · rocketgraph.io

  11. 11PT

    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

  12. 12IM

    I was always confused when trying to optimize a slow MySQL query as the output of the EXPLAIN command is so cryptic and totally useless. And there wasn't any tool that could help visualize what a query does - compared to PostgreSQL which has multiple... So, I started developing such a tool for MySQL. But boy, I didn't expect how complicated this is in reality. There were so many things hiding in tiny information pieces that I had to understand. But it also confirmed me in that a tool should try to understand the EXPLAIN output and not a human as it is too easy to oversee something. After…

    2024 · mysqlexplain.com

  13. 13

    The AI that knows your Postgres database

    2024

  14. 14PA

    2024 · github.com

  15. 15PA

    Happy Cyber Monday!

    2014 · psequel.com

  16. 16PS

    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

  17. 17PN

    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

  18. 18
    Simpl.335

    A pleasant Postgres browser for working with real data

    Jan 2026

  19. 19VS

    My co-worker and I were debugging a SQL issue; having not seen SQL in two years, I embarrassed myself by confusing union vs. join. After this episode, I tried refreshing my SQL memory, but there are few websites that animate SQL for you. Most of them just have a series of images to help you visualize. There are a few tools that are quite good and robust (especially for large/complex use cases) but require installation and are too complex for my simple purpose. So, just created a small tool to help visualise SQL. Most of the animations are just my understanding of how SQL works. Would…

    2022 · animatesql.com

  20. 20
    Outerbase298

    The interface for your database

    2023

  21. 21PA
  22. 22PP

    Hey! I'm Andrei. I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books. So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction. Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instances can give you. And I've built a tool to visualize this data, which I welcome you to explore. So,…

    Jul 2026 · postgres.saneengineer.com

  23. 23BP

    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

  24. 24

    Changing the way you look at your visitors.

    2020

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