Apache AGE
Git
Apache AGE | Git | |
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31 | 288 | |
709 | 50,419 | |
- | 2.3% | |
8.5 | 10.0 | |
almost 2 years ago | 1 day ago | |
C | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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/
Git
- Git tracks itself. See it's first commit of itself
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Resistance against London tube map commit history (a.k.a. git merge hell) (2015)
Look at any PR/patch series that got merged into the Git project. https://github.com/git/git/
Any random one. Because those that did not meet the minimum criteria for a well-crafted history would not have passed review.
- GitHub Git Mirror Down
- Four ways to solve the "Remote Origin Already Exists" error.
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So You Think You Know Git – Git Tips and Tricks by Scott Chacon
Boy, I can't find this either (but also, the kernel mailing list is _really_ difficult to search). I really remember Linus saying something like "it's not a real SCM, but maybe someone could build one on top of it someday" or something like that, but I cannot figure out how to find that.
You _can_ see, though, that in his first README, he refers to what he's building as not a "real SCM":
https://github.com/git/git/commit/e83c5163316f89bfbde7d9ab23...
- Maintain-Git.txt
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Git Commit Messages by Jeff King
Here is the direct link, as HN somehow removes the query string: https://github.com/git/git/commits?author=peff&since=2023-10...
- Git commit messages by Jeff King
- My favourite Git commit (2019)
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Do we think of Git commits as diffs, snapshots, and/or histories?
I understand all that.
I'm saying, if you write a survey and one of the possible answers is "diff", but you don't clearly define what you mean by "diff", then don't be surprised if respondents use any reasonable definition that makes sense to them. Ask an ambiguous question, get a mishmash of answers.
The thing that Git uses for packfiles is called a "delta" by Git, but it's also reasonable to call it a "diff". After all, Git's delta algorithm is "greatly inspired by parts of LibXDiff from Davide Libenzi"[1]. Not LibXDelta but LibXDiff.
Yes, how Git stores blobs (using deltas) is orthogonal to how Git uses blobs. But while that orthogonality is useful for reasoning about Git, it's not wrong to think of a commit as the totality of what Git does, including that optimization. (Some people, when learning Git, stumble over the way it's described as storing full copies, think it's wasteful. For them to wrap their heads around Git, they have to understand that the optimization exists. Which makes sense because Git probably wouldn't be practical if it lacked that optimization.)
The reason I'm bringing all this up is, if you're trying to explain Git, which is what the original article is about, then it's very important to keep in mind that someone who is learning Git needs to know what you mean when you say "diff". Most people who already know Git would tend to gravitate toward the definition of "diff" that you're assuming (the thing that Git computes on the fly and never stores), but people who already know Git aren't the target audience when you're teaching Git.
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[1] https://github.com/git/git/blob/master/diff-delta.c
What are some alternatives?
Neo4j - Graphs for Everyone
scalar - Scalar: A set of tools and extensions for Git to allow very large monorepos to run on Git without a virtualization layer
janusgraph - JanusGraph: an open-source, distributed graph database
PineappleCAS - A generic computer algebra system targeted for the TI-84+ CE calculators
RedisGraph - A graph database as a Redis module
Subversion - Mirror of Apache Subversion
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
vscode-gitlens - Supercharge Git inside VS Code and unlock untapped knowledge within each repository — Visualize code authorship at a glance via Git blame annotations and CodeLens, seamlessly navigate and explore Git repositories, gain valuable insights via rich visualizations and powerful comparison commands, and so much more
datalevin - A simple, fast and versatile Datalog database
linux - Linux kernel source tree
datahike - A durable Datalog implementation adaptable for distribution.
chromebrew - Package manager for Chrome OS [Moved to: https://github.com/chromebrew/chromebrew]