datascript
Apache AGE
Our great sponsors
datascript | Apache AGE | |
---|---|---|
24 | 31 | |
5,352 | 709 | |
- | - | |
7.7 | 8.5 | |
7 days ago | over 1 year ago | |
Clojure | C | |
Eclipse Public License 1.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
datascript
-
Datalog in 100 lines of JavaScript (2022)
Hi pests, I don't think the criticism in the comments gives a full picture.
I wrote about a particular flavor of datalog, in common use today. [1] [2]. The earliest representation I know, which matches the syntax of my essay, was in SICP [3]
There's another, more academic form of datalog, which looks a lot more like prolog. Both have lots of similarities: both systems have a set of facts and rules. Both systems have can take a partially filled fact or rule, and find all matching facts. The more academic flavors of Datalog are useful for general logic, and particularly powerful for recursive questions. The variant I showed is more tailed for database queries.
[1] https://github.com/tonsky/datascript
-
XTDB on Mobile Possible?
There is also datascript as a similar option.
- FoundationDB: A Distributed Key-Value Store
-
wotbrew/relic: FRP for Clojure(Script)
What's the use case for relic? Sounds similar to https://github.com/tonsky/datascript ?
- Introduction to Datalog
- Clojure Turns 15 panel discussion video
-
Show HN: Cozo – new Graph DB with Datalog, embedded like SQLite, written in Rust
This look nice !
Datascript seems to be another Datalog engine (in memory only)
https://github.com/tonsky/datascript
-
Ergonomic inline SQL as a Python library
Inspired by past work: LINQ, inline-python, crepe, DataScript, Riffle.
-
Working with large maps
An in-memory database like Datascript may be worth looking into. Otherwise you could take an indexing approach: put all the data into one big map indexed by some unique key, and have a bunch of supplementary indexes that are updated on insertion.
- Obsidian Dataview: Turn Obsidian Vault into a database which you can query from
Apache AGE
-
Alternatives to Neo4j Enterprise
What about the AGE extension for Postgres? https://age.apache.org/
-
Anyone Using Graph Databases in F#?
Waiting for Postgres to release theirs.
-
In MongoDB you can have duplicate items even if you have unique index
I think they are talking about the AGE extension https://age.apache.org
-
Age 1.0 – PostgreSQL extension for graph database
It's my understanding of the "incubation" period of Apache Software Foundation projects is to determine if they're able to actually execute the ASF process, and a bunch of other "project maturity metrics" (https://community.apache.org/apache-way/apache-project-matur...) of which AGE currently has some self-certification: https://age.apache.org/?l=maturity#
I recognize that's not exactly an answer to the question you asked, but I would be surprised if someone other than a project member knows a more forward-looking one
-
Looking for opinions: 95% of my Data fits extremely well in a Relational Database and 5% fits extremely well into a graph database. Should I consider splitting it between the two, or is that a silly idea?
Postgres has a graph extension: https://age.apache.org. This means you can keep all your data in PG and use both models.
-
Getting Started with Redis and RedisGraph
PostgreSQL with graph extension, developed by a team at Apache Software Foundation as Apache AGE. Apache AGE uses Gremlin.
-
Ask HN: Why are relational DBs are the standard instead of graph-based DBs?
The big thing that graph dbs provide is transitive traversals of join relationships.
The problem with graph dbs is trying to return something that is not a graph. Like a count. Or derived information. And which graph model do you use? There’s more than one. Lots of information is very poorly modeled in graph dbs. Temporal organization, for example.
Ultimately, graphs are a way to use relations. But relations allow you much more flexibility to associate information (subject to the issue of transitive relationship traversal).
Mixed graph-relational is perfectly reasonable. Reasonable start here: [https://age.apache.org/]
their actual landing page is actually better than the Github one. It's a translation layer(s) to allow querying Postgres using openCypher
-
Truth Behind Neo4j’s “Trillion” Relationship Graph
Depending on how one views "postgres", there are at least two extensions that allegedly do it: https://age.apache.org/ and the AgensGraph from which AGE derives
-
One table vs two table design
There's an extension to postgresql (I haven't used it, but I am familiar with node/edge tables in MSSQL) that allows you to do this: https://age.apache.org/
What are some alternatives?
asami - A graph store for Clojure and ClojureScript
Neo4j - Graphs for Everyone
datahike - A durable Datalog implementation adaptable for distribution.
janusgraph - JanusGraph: an open-source, distributed graph database
datalevin - A simple, fast and versatile Datalog database
RedisGraph - A graph database as a Redis module
10000-markdown-files - 10,000 markdown files. Useful for stress testing note-taking tools.
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
xtdb - An immutable database for application development and time-travel data compliance, with SQL and XTQL. Developed by @juxt