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Products that do what pgSentry does

PostgreSQL-only. The micro-DBA for modern engineering teams

  1. 1BP

    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

  2. 2PN

    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

  3. 3

    Idea to Postgres database

    2024 · supabase.com

  4. 4PT

    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

  5. 5PI

    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

  6. 6CR

    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

  7. 7PN

    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

  8. 8PR
  9. 9PC

    This is an experimental extension for CRDTs, pg_crdt: GitHub repo[0]. It supports Yjs/Yrs and Automerge. The linked blog post [1] describes how we're thinking about this extension in a Supabase context. I want to emphasise this part: "pg_crdt has not been released onto the Supabase platform (and it may never be). We’re considering many options for offline-sync/support and, while CRDTs will undoubtedly factor in, we’re not sure if this is the right approach." [0] GitHub repo: https://github.com/supabase/pg_crdt [1] Blog post:…

    2022 · supabase.com

  10. 10PS

    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

  11. 11H1

    hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…

    2023 · hydra-so.notion.site

  12. 12DL

    2014 · databaselabs.io

  13. 13GF

    2015 · github.com

  14. 14IB

    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

  15. 15MD

    Hey HN, I’m an engineer at Supabase [0] and one of the creators of this demo. My team and I have been working hard to bring developers the next version of Supabase Realtime. The current version of Realtime [1] is a Change Data Capture (CDC) server for a PostgreSQL database that broadcasts changes via WebSockets to authorized subscribers. It’s written in Elixir/Phoenix. The server utilizes PostgreSQL’s logical replication functionality, which writes database changes to Write-Ahead Logging (WAL) segment files, and a replication slot, responsible for managing and retaining WAL files.…

    2022 · multiplayer.dev

  16. 16PJ
  17. 17

    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

  18. 18PS

    Hello HN, I am Sai Srirampur, one of the Co-founders of PeerDB. (https://github.com/PeerDB-io/peerdb). We spent the past 7 months building a solid experience to replicate data from Postgres to data warehouses. Now we're expanding to queues. PeerDB Streams provides a simple and native way to replicate changes as they happen in Postgres to Queues (Kafka, Redpanda, Google PubSub, etc). We use Postgres logical decoding to enable Change Data Capture (CDC). Blog post here: https://blog.peerdb.io/peerdb-streams-simple-native-postgres.... 10-min quickstart here:…

    2024

  19. 19
    bit.io130

    All your data in one place

    2021

  20. 20SD

    Hi HN, we're excited to share our open source tool with the community! We previously posted here with the tagline “real-time events for Postgres” [0]. But after feedback from early users and the community, we’ve shifted our focus to working on tooling for manual database changes. We've consistently heard teams describe challenges with the way manual data updates are handled. Seemingly every engineer we spoke with had examples of errant queries that ended up causing significant harm in production environments (data loss/service interruptions). We’ve seen a few different approaches to how…

    2023 · github.com

  21. 21

    Postgres, powered up

    2024

  22. 22PC

    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

  23. 23PY

    Originally inspired by pg_regress, pg_yregress provides a TAP-compatible test executor that allows for better test organization, easier instance management, native JSON handling and so on.

    2023 · github.com

  24. 24PC

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