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Products that do what Vinyl: Relational Streams for Java does

Vinyl extends Java Streams with relational operations. I wanted to try a different approach than what I'd found in the wild, to get at a solution that feels good. Vinyl offers type-safe access without type bloat. It offers an extremely expressive API without scores of opinionated methods to learn. It integrates with the Streams we already have, and plays nice with parallelism. If we can do it in SQL, we should be able to do it in Java.

  1. 1IW

    https://www.manning.com/books/data-oriented-programming-in-j... This book is a distillation of everything I’ve learned about what effective development looks like in Java (so far!). It's about how to organize programs around data "as plain data" and the surprisingly benefits that emerge when we do. Programs that are built around the data they manage tend to be simpler, smaller, and significantly easier understand. Java has changed radically over the last several years. It has picked up all kinds of new language features which support data oriented programming (records,…

    2024

  2. 2DJ

    Hi HN - I’m Peter, here with Harry (devhawk), and we’re building DBOS Java, an open-source Java library for durable workflows, backed by Postgres. https://github.com/dbos-inc/dbos-transact-java Essentially, DBOS helps you write long-lived, reliable code that can survive failures, restarts, and crashes without losing state or duplicating work. As your workflows run, it checkpoints each step they take in a Postgres database. When a process stops (fails, restarts, or crashes), your program can recover from those checkpoints to restore its exact state and continue from where…

    Nov 2025 · github.com

  3. 3AD

    Recently created a minimal persistent relational database in Go. Main focus was on implementing & understanding working the of database, storage management & transaction handling. Use of B+ Tree for storage engine(support for indexing), managing a Free List (for reusing nodes), Support for transactions, Concurrent Reads. Still have many things to add & fix like query processing being one of the main & fixing some bugs Repo link - https://github.com/Sahilb315/AtomixDB Would love to hear your thoughts

    2025 · github.com

  4. 4MV
  5. 5PD

    PicoMQ is a Rust server for Durable Streams, built on Object Store. Cheap, URL-addressable, granular streams (create/append/read/long-poll/SSE), with Pico Protocol or Durable Streams Protocol as the facade. S3Stream is the stream storage primitive, used in AutoMQ, shipped as a Rust library. Coordination is a command log in Postgres.

    13d ago · picomq.com

  6. 6SS
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    TABLUM.IO159

    Turn CSV, XML & JSON into a live analysis-ready SQL database

    2023

  8. 8SA

    Hey there! This is Dan and Ustin (@uzarubin), and we want to share something cool we've been working on for the past year - an open-source `tail -f` for your data, with a UI. We call it "Streamdal" which is a word salad for streaming systems (because we love them) and DAL or data access layer (because we’re nerds). Here's the repo: https://github.com/streamdal/streamdal Here's the site: https://streamdal.com And here's a live demo: https://demo.streamdal.com (github repo has an explanation of the demo) — — — THE PROBLEM We built this because the…

    2023 · github.com

  9. 9SA

    Hi HN, I built a Java library called SmartFileProcessor to make high-performance, multi-threaded file processing simpler and more maintainable. Most Java file processing solutions either involve a lot of boilerplate or don’t handle concurrency, backpressure, or metrics well out of the box. I needed something fast, clean, and production-friendly — so I built this. Key features: Multi-threaded line/batch processing using a configurable thread pool Producer/consumer model with built-in backpressure Buffered, asynchronous writing with optional auto-flush Live metrics: memory usage,…

    2025 · github.com

  10. 10BA
  11. 11FA

    Hey all, I just released v2.0.0 of FilterQL, a query language and TypeScript library. This version adds support for Operations, which allow you to transform the data after filtering. If you think this would be useful in a project you're working on, give it a try and let me know what you think!

    2025 · github.com

  12. 12SS
  13. 13TD

    Hey everyone! I hope you’re all having a great day. Today I’m sharing an experimental open-source project I’ve been working on for the past few months called Wildcat. Wildcat is an embedded persistent storage engine implementing an lsm tree similar to RocksDB and or LevelDB. The motivation for this system was to try to solve the multi-writer bottlenecks that most embedded systems incur. With that, during my journey with storage systems especially the log structured flavour I’ve implemented a lot of interesting optimizations and algorithms in regards to the write and read paths. I hope you…

    2025 · github.com

  14. 14SL
  15. 15DS

    Hey, I'm a co-founder at ElectricSQL. Durable Streams is the delivery protocol underneath our Postgres sync engine—we've been refining it in production for 18 months. The core idea: streams get their own URL and use opaque, monotonic offsets. Clients persist the last offset they processed and resume with "give me everything after X." No server-side session state, CDN-cacheable, plain HTTP. We kept seeing teams reinvent this for AI token streaming and real-time apps, so we're standardizing it as a standalone protocol. The repo has a reference Node.js server and TypeScript client. Would love…

    Dec 2025 · github.com

  16. 16PC

    Hi HN, pgstream is an open source CLI tool and Go library for Postgres logical replication events. We have some bigger plans with it, but as of now its main "differentiator" is that it includes not only data changes but also DDL changes in the same ordered and consistent stream. We have developed this because in the Xata platform we handle automatic replication from Postgres to Elasticsearch/OpenSearch. Initially schema changes were problematic because they required us intercepting them at the API layer and then apply them to the search engine. But if the replication is slightly delayed…

    2024 · xata.io

  17. 17JA
  18. 18JA

    2011 · code.google.com

  19. 19VP

    # TL;DR We built VeilStream, a drop-in, read-only PostgreSQL proxy that strips, masks, or anonymizes sensitive values as queries stream through. In less than two minutes, you can put a proxy in front of a PostgreSQL database, whether hosted on your laptop, Neon, Supabase, or a cloud provider, and the user is able to start configuring filter rules. The use cases we're trying to solve are: - Production-like data in development environments - Improve incident handling by masking all data that is not relevant - Share a subset of your data - Protecting data being shipped into a data lake - Safe…

    2025 · app.veilstream.com

  20. 20CA
  21. 21AS
  22. 22CS

    Founder here, Parseable is a lightweight log ingestion and query engine written in Rust. Parseable can ingest data from existing logging agents (FluentBit, LogStash, Vector, syslog-ng and more) using HTTP + JSON output. Ingested logs are stored as semi-indexed Parquet files (on disk or S3). You can query the data with builtin query engine using SQL or use a query engines of choice like Spark, Presto, Trino and so on. We also developed a Grafana data source plugin that lets you visualise log data via Grafana. Sample dashboard link in readme. As log data grew, our industry has responded with…

    2023 · github.com

  23. 23JA

    Hi all! It's been a while since I posted something. Wrote this back in November to scratch an itch regarding tailing logs locally for multiple services. I know we all love jq...but I'm quite comfortable with SQLite and SQL so just wanted to use that instead. Published my first Rust crate today! My first public Rust project so be gentle :) . Hope you enjoy it! https://crates.io/crates/jlq https://github.com/hamin/jlq

    2023 · github.com

  24. 24GA

    Hello HN! These last few months I've been working on my first open source project: an embedded database written in pure-go. That took me some months, as I had to learn how to deal with such large packages. Until then, all packages I had made were quite small an did not require much. I usually did not have to worry about things like allocation optimization and instance pools until This project. It started when I wanted to make a port of a tool to a TUI environment. I'm actually used to working with TUIs in golang, so that was my language of choice. The tool I wanted to port is written in…

    Feb 2026

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