datafrog
differential-datalog
datafrog | differential-datalog | |
---|---|---|
7 | 22 | |
781 | 1,338 | |
2.4% | 0.4% | |
0.0 | 0.0 | |
over 2 years ago | 10 months ago | |
Rust | Java | |
Apache License 2.0 | MIT License |
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datafrog
- Datafrog: A lightweight Datalog engine in Rust
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Differential Datalog: a programming language for incremental computation
What is the difference with https://github.com/rust-lang/datafrog? It’s a Datalog engine written by Frank McSherry on top of differential dataflow, that’s used here also
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Announcing: MiniRust
C++ is arguably the most complex programming language ever. There is not much to be gained by comparing against the supremum.
Take a look at the languages that rust was influenced by (https://en.wikipedia.org/wiki/Rust_(programming_language)) those aren't languages with straightforward compilation semantics.
There is a reason why rust has a datalog engine build into the compiler (https://github.com/rust-lang/datafrog). Which is imho totally rad and awesome, but really hard to fully form a mental model of without a spec.
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Help with iterator efficiency
Datalog may be obscure, but its actually what the next generation of the borrow checker is going to be implemented in, you may find inspiration here: https://github.com/rust-lang/datafrog
- Scryer-Prolog: modern Prolog implementation written mostly in Rust
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Differential Dataflow for Mere Mortals
They used to but Frank McSherry (author of differential dataflow) wrote them a specialized version without all the dataflow infrastructure [1]. It's part of the rust-lang nursery [2] now but hasn't been updated in a while, so I'm not sure what happened to it.
[1] https://github.com/frankmcsherry/blog/blob/master/posts/2018...
[2] https://github.com/rust-lang/datafrog
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?
polonius - Defines the Rust borrow checker.
scryer-prolog - A modern Prolog implementation written mostly in Rust.
dida - Differential dataflow for mere mortals
timely-dataflow - A modular implementation of timely dataflow in Rust
psac - Parallel Self-Adjusting Computation
materialize - The data warehouse for operational workloads.
database-stream-processor - Streaming and Incremental Computation Framework
differential-dataflow - An implementation of differential dataflow using timely dataflow on Rust.
datalog_rust
datalevin - A simple, fast and versatile Datalog database
a-mir-formality - a model of MIR and the Rust type/trait system
logica - Logica is a logic programming language that compiles to SQL. It runs on Google BigQuery, PostgreSQL and SQLite.