snakelog
differential-datalog
snakelog | differential-datalog | |
---|---|---|
2 | 22 | |
9 | 1,340 | |
- | 0.5% | |
0.0 | 0.0 | |
about 1 year ago | 10 months ago | |
Python | Java | |
- | MIT License |
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snakelog
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The "missing" graph datatype already exists. It was invented in the '70s
You can without too much work transpile datalog to SQL. SQL does have such strong support that it is useful https://github.com/philzook58/snakelog or perhaps just do it manually https://www.philipzucker.com/tiny-sqlite-datalog/
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Show HN: Cozo – new Graph DB with Datalog, embedded like SQLite, written in Rust
Very cool! I love the sqlite install everywhere model.
Could you compare use case with Souffle? https://souffle-lang.github.io/
I'd suggest putting the link to the docs more prominently on the github page
Is the "traditional" datalog `path(x,z) :- edge(x,y), path(y,z).` syntax not pleasant to the modern eye? I've grown to rather like it. Or is there something that syntax can't do?
I've been building a Datalog shim layer in python to bridge across a couple different datalog systems https://github.com/philzook58/snakelog (including a datalog built on top of the python sqlite bindings), so I should look into including yours
differential-datalog
- DDlog: A programming language for incremental computation
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Feldera – a more performant streaming database based on Z-sets
Hi,
> I wonder if it lives up to the hype.
We do think so! (disclaimer: I'm a co-founder at Feldera)
To give some more background: We are co-designing/trialing feldera with several industry/enterprise partners from different domains. Our core team also built differential datalog (https://github.com/vmware/differential-datalog) in the past. And while ddlog is used quite successfully in products today, we believe the many lessons we learned with ddlog will help us to build an even better continuous analytics platform. FYI our code is open-source at https://github.com/feldera/feldera if you'd like to try it out.
Also feel free to join our community slack channel (https://www.feldera.com/slack/) if you have more questions.
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Why Are There No Relational DBMSs? [pdf]
The relational model (and generally working at the level of sets/collections, instead of the level of individual values/objects) actually makes it easier to have this kind of incremental computation in a consistent way, I think.
There's a bunch of work being done on making relational systems work this way. Some interesting reading:
- https://www.scattered-thoughts.net/writing/an-opinionated-ma...
- https://materialize.com/ which is built on https://timelydataflow.github.io/differential-dataflow/, which has a lot of research behind it
- Which also can be a compilation target for Datalog: https://github.com/vmware/differential-datalog
- Some prototype work on building UI systems in exactly the way you describe using a relational approach: https://riffle.systems/essays/prelude/ (and HN discussion: https://news.ycombinator.com/item?id=30530120)
(There's a lot more too -- I have a hobby interest in this space, so I have a small collection of links)
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Differential Datalog: a programming language for incremental computation
Tutorial which I didn’t see linked in the README: https://github.com/vmware/differential-datalog/blob/master/d...
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Show HN: Cozo – new Graph DB with Datalog, embedded like SQLite, written in Rust
This is amazing!
Have you looked at differential-datalog? It's rust-based, maintained by VMWare, and has a very rich, well-typed Datalog language. differential-datalog is in-memory only right now, but could be ideal to integrate your graph as a datastore or disk spill cache.
https://github.com/vmware/differential-datalog
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Help wanted!
Sort of related, in my mind at least, is differential dataflow, e.g. https://github.com/vmware/differential-datalog
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Datalog in JavaScript
It’s fascinating to see so many different parties converging on Datalog for reactive apps & UI.
- There are several such talks at https://www.hytradboi.com/ (happening this Friday)
- Roam Research and its clones Athens, Logseq, use Datascript / ClojureScript https://github.com/tonsky/datascript
- differential-datalog isn’t an end-to-end system, but is highly optimized for quick reactivity https://github.com/vmware/differential-datalog
- Datalog UI is a Typescript port of some of differential-datalog’s ideas https://datalogui.dev/
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Call for Help - Open Source Datom/EAV/Fact database in Rust.
Rust related https://github.com/vmware/differential-datalog
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Anything like Svelte/Jetpack Compose for Haskell?
Actually, that makes me wonder whether or not differential datalog falls under that umbrella, and if it could be applied in the same way Compose is.
What are some alternatives?
pycozo - The Python client and Jupyter helper for CozoDB
scryer-prolog - A modern Prolog implementation written mostly in Rust.
cozo - A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
timely-dataflow - A modular implementation of timely dataflow in Rust
materialize - The data warehouse for operational workloads.
differential-dataflow - An implementation of differential dataflow using timely dataflow on Rust.
datalevin - A simple, fast and versatile Datalog database
logica - Logica is a logic programming language that compiles to SQL. It runs on Google BigQuery, PostgreSQL and SQLite.
diagnostics - Diagnostic tools for timely dataflow computations
souffle - Soufflé is a variant of Datalog for tool designers crafting analyses in Horn clauses. Soufflé synthesizes a native parallel C++ program from a logic specification.
datascript - Immutable database and Datalog query engine for Clojure, ClojureScript and JS
flow - Computational parallel flows on top of GenStage