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Alternatives

Products that do what Open-source schema based Change-Data-Capture utility for Postgres does

I am currently working on a Node.js utility for a schema-based approach on CDC for Postgres. It is a lightweight utility that you can plug on top of your existing WAL events service (eg. Debezium, WAL-listener...) and allows you to define schemas to listen to. Instead of listening to raw individual table-level events, you can aggregate those events into high-level schema events automatically. Conceptually, it is like having WAL events but on an SQL view, any modification to a table the view is based on would trigger a high-level event on the view itself. This has many real-world applications…

  1. 1LI

    Hi everyone, If you have a Java Spring Boot application with a PostgreSQL database, you can implement Event Sourcing without introducing new specialized databases or frameworks. If you have an application dealing with an entity called Order, you should adopt Event Sourcing to keep track of all changes, and know how the Order got into the current state. Event Sourcing gives you: 1. the true history of the system (audit and traceability), 2. the ability to put the system in any prior state (debugging), 3. the ability to create read projections from events as needed to respond to new demands.…

    2023 · github.com

  2. 2PS

    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

  3. 3SD

    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

  4. 4

    Instant batch data import for Postgres

    2024

  5. 5MD

    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

  6. 6PJ
  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. 8DG
  9. 9PC

    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

  10. 10

    Real-time database schemas for AI-IDEs via MCP protocol

    2025

  11. 11PJ

    pg_jsonschema is a solution we're exploring to allow enforcing more structure on json and jsonb typed postgres columns. We initially wrote the extension as an excuse to play with pgx, the rust framework for writing postgres extensions. That let us lean on existing rust libs for validation (jsonschema), so the extension's implementation is only 10 lines of code :) https://github.com/supabase/pg_jsonschema/blob/fb7ab09bf6050... happy to answer any questions!

    2022 · github.com

  12. 12

    Database diagrams editor for teams

    2025

  13. 13CA

    Last year we launched ChartDB OSS (https://news.ycombinator.com/item?id=44972238) - an open-source tool that generates ER diagrams from your database (via query/sql/dbml) without needing direct DB access. Now we’re launching the ChartDB Agent. It helps you design databases from scratch or make schema changes with natural language. You can: - Generate schemas by simply describing them in plain English - Brainstorm new tables, columns, and relationships with AI - Iterate visually in a diagram (ERD) - Deterministically export SQL script Try it out here -…

    Oct 2025 · app.chartdb.io

  14. 14
    Schema216

    Awesome knowledge management for teams from your GDrive 🤓

    2018

  15. 15VD

    Hey HN! We are Jonathan & Guy, and we are happy to share a project we’ve been working on. ChartDB is a tool to help developers and data analysts quickly visualize database schemas by generating ER diagrams with just one query. A unique feature of our product is AI-Powered export for easy migration. You can give it a try at https://chartdb.io and find the source code on GitHub. Next steps ---> More AI. We’d love feedback :)

    2024 · github.com

  16. 16BA
  17. 17SO
  18. 18PO
  19. 19PY

    Hey all, I'm the creator of @pg-nano/pg-parser. I'm using it in pg-nano[1] to statically analyze Postgres schemas spread across multiple SQL files for a couple of reasons: 1. Each CREATE statement needs to be in topological order, so pg-nano's dev command can execute them without issue. 2. pg-nano has a plugin system like Vite that allows SQL generation based on the parsed schema. Probably to the surprise of no one, working with an untyped AST feels like you're back in the days of JavaScript, because well... you are. Most of you know by now just how great TypeScript and static types in…

    2024 · github.com

  20. 20SD

    Hi HN, I'm Dean, the non-technical co-founder of SchemafreeSQL. We released our beta version about a year ago. You can see the HN Post here https://news.ycombinator.com/item?id=30291592 Today I am pleased to announce our initial release of our hosted SFSQL offering. A major concern from the HN Beta feedback we received was our longevity. Being a hosted database solution I can see why. We took that to heart and re-engineered our offering. We de-risked it by minimizing the amount of infrastructure under our management, fly.io manages customer's dedicated SFSQL endpoints,…

    2023 · schemafreesql.com

  21. 21TS
  22. 22OT

    Hey everyone! I have created a product that relies on MongoDB for a document store but doesn't really need any of the distributed features to really justify having a hosted MongoDB or DocumentDB instance. Now that we're trying to turn this into a product, we're seeing that some companies have a little bit of resistance around managing yet another database. Most of our clients already have and manage PostgreSQL in one form or another. I knew that PostgreSQL already offered first class JSON support, but I didn't want to rewrite the application data layer from scratch if I could avoid it.…

    2022 · github.com

  23. 23AS

    Hi HN, we're Eric and Dean, creators of SchemafreeSQL. Its roots go back to an on-line Web App Development Environment we developed back in 1999. It was comprised of an IDE, Web Server, Object Store, Virtual File System, Template System, and polyglot (Java, JavaScript, and Python). Of course, we named it “.OS”. Then we ended up dropping it. But that's a story for another time. It was the ease of use of the Object Store from .OS that we really missed, which brings us back to SchemafreeSQL. It provides an enhanced API to your SQL Database which allows it to function as a Schemaless…

    2022 · schemafreesql.com

  24. 24DL

    2014 · databaselabs.io

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