Alternatives
Products that do what PON-DB Engine does
Acceleration engine for hyperscale encrypted data
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- 2OS
Hi HN, I built a specialized inference engine for running 4-bit Gemma 4 26B-A4B-IT on any M-series Mac using about 2 GB of RAM. It is called TurboFieldfare and is written in Swift and Metal. I have always adored on-device AI. It feels like magic that you can run a powerful NN on your Mac or iPhone. So I wanted to push the limits a bit and run a model whose weights don’t fit in memory. The model’s 4-bit quantized weights occupy roughly 14 GB, which makes running it with conventional inference tools almost impossible on an 8 GB or even 16 GB Mac once the OS, applications, and KV cache are…
Jul 2026 · github.com
- 3LE
I've been developing game backends for several years, using and designing a lot of code. They all about calculations, synchronization with front-end data, and database data, and try to ensure consistency, atomicity, and high response, etc. However, these codes and frameworks have always had problems such as very complicated APIs, incomplete or non-existent ACID, multiple calls to RPC, and non-real-time full or semi-full data landing. So, we created Lockval Engine. An easy-to-use, ACID, distributed, DOP, multi-language support backend engine. Here are some online demos that will give you a…
2023 · lockval.com
- 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
- 5NJ
We're building a different kind of JavaScript engine, based on data-oriented design and willingness to try something quite out of left field. This is most concretely visible in our major architectural choices: 1. All data allocated on the JavaScript heap is placed into a type-specific vector. Numbers go into the numbers vector, strings into the strings vector, and so on. 2. All heap references are type-discriminated indexes: A heap number is identified by its discriminant value and the index to which it points to in the numbers vector. 3. Objects are also split up into object kind -specific…
2024 · github.com
- 6BD
Hi HN, Today we’re launching PowerSync, a Postgres<>SQLite bi-directional sync engine that enables an offline-first app architecture. It currently supports Flutter, React Native and web (JavaScript) using Wasm SQLite in the browser, with more client SDKs on the way. Conrad and I (Ralf) have been working on our sync engine since 2009, originally as part of a full-stack app platform. That version of the system is still used in production worldwide and we’ve learnt a lot from its use cases and scaling. About a year ago we started on spinning off PowerSync as a standalone product that is…
2023 · powersync.com
- 7PS
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
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- 10TA
I built a SQLite VFS in Rust that serves cold queries directly from S3 with sub-second performance, and often much faster. It’s called turbolite. It is experimental, buggy, and may corrupt data. I would not trust it with anything important yet. I wanted to explore whether object storage has gotten fast enough to support embedded databases over cloud storage. Filesystems reward tiny random reads and in-place mutation. S3 rewards fewer requests, bigger transfers, immutable objects, and aggressively parallel operations where bandwidth is often the real constraint. This was explicitly inspired…
Mar 2026 · github.com
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- 12OA
Yo. OtterTune is a database optimization service. It uses machine learning to automatically tune your MySQL and Postgres configuration (i.e., RDS parameter groups) to improve performance and reduce costs. It does this by only looking at your database's runtime metrics (e.g., INNODB_METRICS, pg_stat_database, CloudWatch). We don't need to examine sensitive queries or user tables. We spun this project out of my research group at Carnegie Mellon University in 2020. This week we've announced that OtterTune is now available to the public. We are offering everyone a starter account to try it out…
2021
- 13HV
Hey HN - this is Alexander from Hatchet. We’re building an open-source platform for managing background tasks, using Postgres as the underlying database. Just over a year ago, we launched Hatchet as a distributed task queue built on top of Postgres with a 100% MIT license (https://news.ycombinator.com/item?id=39643136). The feedback and response we got from the HN community was overwhelming. In the first month after launching, we processed about 20k tasks on the platform — today, we’re processing over 20k tasks per minute (>1 billion per month). Scaling up this quickly was…
2025 · github.com
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- 15OA
A lightweight engine for durable execution / deterministic workflows I built with Rust, wasmtime and the WASM Component Model. Its main use is running reliable, long-running workflows that can automatically resume after failures. Looking for feedback on the approach and potential use cases!
2025 · obeli.sk
- 16AS
Preface: we love Hacker News. It's been one of the constant good things in all of our lives, and is by far our favorite place to talk with people about what we're doing. I figured it was worth doing a special post for something we've been cooking up, rather than just linking to what everyone else gets. So here it is. We just turned on a product we're calling "Elastic Deployments". These are MongoDB clusters that scale vertically with no intervention. As a database grows, it has access to more RAM, IOPs and CPU. More here:…
2014
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- 18DT
Hi HN - DBOS CEO here with the co-founders of DBOS, Peter (KraftyOne) and Qian (qianli_cs). The company started as a research project of Stanford and MIT, and Peter and Qian were advised by Mike Stonebreaker, the creator of Postgres, and Matei Zaharia, the creator of Spark. They believe so strongly in reliable, serverless compute that they started a company (with Mike) to bring it to the world! Today we want to share our brand new Python library providing ultra-lightweight durable execution. https://github.com/dbos-inc/dbos-transact-py Durable execution means your program…
2024 · github.com
- 19DE
tl;dr we built an embeddable stream processing engine in Rust using apache DataFusion, check us out at https://github.com/probably-nothing-labs/denormalized Hey HN, We’d like to showcase a very early version of our embeddable stream processing engine called Denormalized. The rise of DuckDB has abundantly made it clear that even for many workloads of Terabyte scale, a single node system outshines the distributed query engines of previous generation such as Spark, Snowflake etc in terms of both performance and cost. Now a lot of workloads DuckDB is used for were normally…
2024 · github.com
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- 22AG
This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com
- 23DL
2014 · databaselabs.io
- 24TS
2016 · torodb.com
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