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Apache AGE
| Swate | Apache AGE | |
|---|---|---|
| 1 | 31 | |
| 29 | 709 | |
| - | - | |
| 8.6 | 8.5 | |
| about 2 months ago | almost 2 years ago | |
| F# | C | |
| MIT License | 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.
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Anyone Using Graph Databases in F#?
I use neo4j in a docker container for my SAFE stack web app. Not sure why you are asking but it is open source, you can find it here.
Apache AGE
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Alternatives to Neo4j Enterprise
What about the AGE extension for Postgres? https://age.apache.org/
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Anyone Using Graph Databases in F#?
Waiting for Postgres to release theirs.
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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
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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
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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.
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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.
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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
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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
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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?
Teaching - :mortar_board: Materials for my lectures including programming langauge design, software engineering and human-computer interaction.
Neo4j - Graphs for Everyone
janusgraph - JanusGraph: an open-source, distributed graph database
RedisGraph - A graph database as a Redis module
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
datalevin - A simple, fast and versatile Datalog database
datahike - A durable Datalog implementation adaptable for distribution.
datascript - Immutable database and Datalog query engine for Clojure, ClojureScript and JS
Greenplum - Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.
asami - A graph store for Clojure and ClojureScript
zshelf - reMarkable app: Browse and download books from Z-Library
awesome-readme - A curated list of awesome READMEs