Alternatives
Products that do what NodeDB – High Perfomance Multi-Model Database does
Hey HN, I've been working on a multi-model database called NodeDB. Originally, i've found out the idea of SurrealDB quite good. However, it doesn't have some graph and vector features that I need. And since it is just a KV wrapper, instead of purpose-built engine, the performance will never be close to the specialized databases (like Neo4j, Pinecone, Clickhouse, etc). And i've asked myself, what if, there is a database that have the same idea, but built differently? Instead of just treating it as KV database, we build specialized engines for the data. Besides that, I want it to be able to…
- 1PI
Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…
2018 · parabola.io
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Hi HN, I am one of the cofounders of http://turingdb.ai. We built TuringDB while working on large biological knowledge graphs and graph-based digital twins with pharma & hospitals, where existing graph databases were unusable for deep graph traversals with hundreds or thousands of hops on (crappy) machines you can find in a hospital. https://github.com/turing-db/turingdb TuringDB is a new in-memory, column-oriented graph database optimised for read-heavy analytical workloads: - Milliseconds (1) for multi-hop queries on graphs with 10M+ nodes/edges -…
Jan 2026 · github.com
- 8AS
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
- 9AD
Hello HN! I've been working on Atomic Database[1] for almost exactly a month now, having restarted from an earlier Hackathon prototype version. Atomic Database is a deductive database like Datalog that has a useful GUI interface, a natural language query system, smart metadata storage, and gradual typing capabilities. The actual database backend of all this is based on Entity Attribute Value triples currently (I don't forsee changing it, as yet!). This is still very much a prototype, but I feel like I'm at the stage in its evolution where I need some outside input and, possibly, help. To…
2019
- 10IW
Input a SMILES string (or pick one molecule from the examples) and it returns up to 100k molecules closest in 3-D shape or electrostatic similarity – from 10+ billion scale databases — typically in under 5-10 s. *Why it might interest HN* * Entire index lives on disk — no GPU at query-time, less than ~10 GB RAM total. * Built from scratch (no FAISS index / Milvus / Pinecone). * Index-build cost: one Nvidia T4 (~ 300USD) for one 5.5B database. * Open to anyone, predict ADMET, export results as CSV/SDF. Full write-up & benchmarks (DUD-E, LIT-PCBA, SVS) in the pre-print:…
2025 · cheese-new.deepmedchem.com
- 11KA
After almost three years of development, the first developer preview of Kronotop is out. Kronotop is a distributed multi-model database built on FoundationDB. Our motto is: One transaction, multiple models. Documents, ordered key-value data, and other models can participate in the same strictly serializable transaction, even across namespaces. I'd love to hear your feedback.
Jun 2026 · github.com
- 12FO
Hey HN, I’m Roi, one of the co-creators of FalkorDB. We’re a growing team working on a graph database designed for production workloads and GraphRAG systems. The new release (v4.10.0) is out, and I wanted to share some of the updates and ask for feedback from folks who care about performance, memory efficiency in graph-heavy systems. FalkorDB is an open-source property graph database that supports OpenCypher (with our own extensions) and is used under the hood for retrieval-augmented generation setups where accuracy matters. The big problem we’re working on is scaling graph databases without…
2025
- 13GA
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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I couldn't find a database that was immutable (like Datomic) and embedded (like SQLite), so I made one. The reference impl is in Zig and there are now ports for Java, Clojure, TypeScript, and Go.
Apr 2026 · github.com
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Disclaimer it is a heavily AI assisted project. The goal was not to be the most performative but the kind that's easier to learn from. I wanted to share this in case there are people who had the same idea or wanted to see something like this.
Jun 2026 · github.com
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Visualeaf is a MongoDB GUI I’ve been building over the past year. Stack is Electron + Angular + Spring Boot. There’s a live playground on the site if you want to try it without installing or putting in your connection (I provided one). The goal was to combine a visual workflow with the depth needed for real development work. Most existing MongoDB tools tend to optimize for either beginners or power users, but not both in the same interface. Core features: Query builder that supports full MongoDB query expressiveness + being able to drag and drop elements from the collection to the query…
Apr 2026 · visualeaf.com
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Hi, I'm Marcus. I've spent the last 15 months or so home-coding on a document database, after work, on weekends (every waking hour). My plans for this particular weekend was to implement log-structured writing. It went faster than I thought and the results were faster querying times and fast, append-only writes. I've been working on this for almost a decade and being this close to the finish line feels surreal. This is my seventh iteration I believe. Everytime I realized I had an architecture built on a bad model I walked away, often in fury, depressed over my weak coding abilities but…
2017
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Hi HN! It’s always bothered me that there’s no real equivalent of SQL WHERE for vector content. Filtering is one of the cornerstones of a modern database — but vector DBs only support either top-k sort, which is only useful for fuzzy search, or metadata filtering, which isn’t semantic. I’ve found myself wanting all the results matching my semantic query, not just k! Aside from data analysis, it's relevant if you’re trying to do any LLM reasoning: you don’t make good decisions or reach good conclusions by considering a small subset of information. So, we’ve designed a filtering primitive on…
2023 · reviews.emberml.com
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Blog post on why I love Xata when building web3 projects
2022 · guibibeau.com
- 20IW
Hi! I wanted to understand more about databases' internals so I wrote one from scratch. It has a T-SQL inspired syntax with support for functions and procedures. It can be used stand-alone as a SQL engine or with a server allowing for persistence and replication to other connected clients. Performance are nothing near sqlite of course but that's beside the point. It’s a small database engine that can run in a web app as a way to store session data, do small calculations on a web worker, store the document/data the user is editing or facilitate “multiplayer” feature by broadcasting the…
2022 · github.com
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Hi! Recently I've launched - mybfio.io - platform for software reviews with social network aspect. Prehistory Many great system are already in place that allow people to search and rate software products, including the site I am publishing this post on. However I have always felt that those systems are not specifically centered around product/software development lifecycle (releases, real users feedback over a product entire lifetime, so on) and often too broad or not designed specifically for that type of work, which is ok. Why? As an opensource author I would like to have constant…
2021
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"Can you check if this user is on the premium plan?" "I have a support ticket on Mr.Bean, saying he cannot login... Can you have a look?" "How many subscriptions did we have today?" ... As senior SWE at Twenty.com (open source CRM), I had these quite often. Every day I needed to check something in Postgres, I had to wait 30 seconds for DBeaver to load or fight pgAdmin's UI. So I built Paul. Yes our database configuration has too many schemas (3000 schemas) for those clients, but still, it was not Postgres fault. Only the client that couldn't handle it. Paul is a native macOS app, light…
Apr 2026 · guillim.github.io
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Hi HN, have been working on this as a side project, would appreciate any feedback :) LogUnify is built around schemas based on protobuf and all the events in LogUnify are structured. By schematizing events, we offer the following benefits: - Consistency: All the events across all platforms and languages are produced in a uniform way with the generated type-safe SDKs, which ensures data consistency from the root. - Shared Understanding: Event schemas with rich data types and metadata are self-explained, which enables different departments from developers to business stakeholders to share the…
2023 · logunify.com
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Hi HN – this is Peter from DBOS here with Qian (qianli_cs) and Jeremy (jedberg). We’re building an open-source, lightweight durable workflows library on top of Postgres. Ever since we first launched on HN last year, we’ve been blown away by the support, feedback, and response we’ve received from the community. We've realized durable workflows are critical for everything from business processes to AI automation to data pipelines, but most existing durable orchestration tools are either too heavy or too complicated for most applications. Instead, we're building something lightweight, simple,…
2025 · github.com
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