rax
Apache AGE
rax | Apache AGE | |
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2 | 31 | |
1,088 | 709 | |
- | - | |
0.0 | 8.5 | |
5 months ago | over 1 year ago | |
C | C | |
BSD 2-clause "Simplified" 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.
rax
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How is Apache APISIX Fast?
APISIX uses the lua-resty-radixtree library, which wraps around rax, a radix tree implementation in C. This improves the performance compared to implementing the library in pure Lua.
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Getting Started with Redis and RedisGraph
$ git clone https://github.com/RedisGraph/RedisGraph -b v2.4.11 --recurse-submodules -j8 Cloning into 'RedisGraph'... remote: Enumerating objects: 49063, done. remote: Counting objects: 100% (2906/2906), done. remote: Compressing objects: 100% (1082/1082), done. remote: Total 49063 (delta 1998), reused 2448 (delta 1736), pack-reused 46157 Receiving objects: 100% (49063/49063), 39.33 MiB | 114.00 KiB/s, done. Resolving deltas: 100% (38402/38402), done. Submodule 'deps/RediSearch' (https://github.com/RediSearch/RediSearch.git) registered for path 'deps/RediSearch' Submodule 'deps/googletest' (https://github.com/google/googletest.git) registered for path 'deps/googletest' Submodule 'deps/libcypher-parser' (https://github.com/RedisGraph/libcypher-parser.git) registered for path 'deps/libcypher-parser' Submodule 'deps/rax' (https://github.com/antirez/rax.git) registered for path 'deps/rax' Submodule 'deps/readies' (https://github.com/RedisLabsModules/readies.git) registered for path 'deps/readies' Submodule 'deps/xxHash' (https://github.com/Cyan4973/xxHash.git) registered for path 'deps/xxHash' Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/RediSearch'... remote: Enumerating objects: 34395, done. remote: Counting objects: 100% (1802/1802), done. remote: Compressing objects: 100% (1097/1097), done. remote: Total 34395 (delta 1150), reused 1182 (delta 696), pack-reused 32593 Receiving objects: 100% (34395/34395), 23.62 MiB | 71.00 KiB/s, done. Resolving deltas: 100% (25261/25261), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/rax'... remote: Enumerating objects: 668, done. remote: Counting objects: 100% (25/25), done. remote: Compressing objects: 100% (14/14), done. remote: Total 668 (delta 12), reused 19 (delta 11), pack-reused 643 Receiving objects: 100% (668/668), 236.14 KiB | 1.41 MiB/s, done. Resolving deltas: 100% (414/414), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/readies'... remote: Enumerating objects: 2354, done. remote: Counting objects: 100% (833/833), done. remote: Compressing objects: 100% (329/329), done. remote: Total 2354 (delta 608), reused 675 (delta 503), pack-reused 1521 Receiving objects: 100% (2354/2354), 390.69 KiB | 17.00 KiB/s, done. Resolving deltas: 100% (1577/1577), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/libcypher-parser'... remote: Enumerating objects: 3250, done. remote: Counting objects: 100% (68/68), done. remote: Compressing objects: 100% (46/46), done. remote: Total 3250 (delta 42), reused 43 (delta 21), pack-reused 3182 Receiving objects: 100% (3250/3250), 2.10 MiB | 28.00 KiB/s, done. Resolving deltas: 100% (2488/2488), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/xxHash'... remote: Enumerating objects: 4784, done. remote: Counting objects: 100% (345/345), done. remote: Compressing objects: 100% (188/188), done. remote: Total 4784 (delta 189), reused 255 (delta 143), pack-reused 4439 Receiving objects: 100% (4784/4784), 2.54 MiB | 27.00 KiB/s, done. Resolving deltas: 100% (2922/2922), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/googletest'... remote: Enumerating objects: 23334, done. remote: Counting objects: 100% (234/234), done. remote: Compressing objects: 100% (142/142), done. remote: Total 23334 (delta 120), reused 146 (delta 81), pack-reused 23100 Receiving objects: 100% (23334/23334), 9.49 MiB | 44.00 KiB/s, done. Resolving deltas: 100% (17191/17191), done. Submodule path 'deps/RediSearch': checked out '68430b3c838374478dd9ffe4e361534f572b16ff' Submodule 'deps/googletest' (https://github.com/google/googletest.git) registered for path 'deps/RediSearch/deps/googletest' Submodule 'deps/readies' (https://github.com/RedisLabsModules/readies.git) registered for path 'deps/RediSearch/deps/readies' Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/RediSearch/deps/googletest'... remote: Enumerating objects: 23334, done. remote: Counting objects: 100% (234/234), done. remote: Compressing objects: 100% (148/148), done. remote: Total 23334 (delta 120), reused 141 (delta 75), pack-reused 23100 Receiving objects: 100% (23334/23334), 9.56 MiB | 1.05 MiB/s, done. Resolving deltas: 100% (17185/17185), done. Kloning ke '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/RediSearch/deps/readies'... remote: Enumerating objects: 2354, done. remote: Counting objects: 100% (833/833), done. remote: Compressing objects: 100% (329/329), done. remote: Total 2354 (delta 608), reused 675 (delta 503), pack-reused 1521 Receiving objects: 100% (2354/2354), 390.69 KiB | 853.00 KiB/s, done. Resolving deltas: 100% (1577/1577), done. Submodule path 'deps/RediSearch/deps/googletest': checked out 'dea0216d0c6bc5e63cf5f6c8651cd268668032ec' Submodule path 'deps/RediSearch/deps/readies': checked out '89be267427c7dfcfaab4064942ef0f595f6b1fa3' Submodule path 'deps/googletest': checked out '565f1b848215b77c3732bca345fe76a0431d8b34' Submodule path 'deps/libcypher-parser': checked out '38cdee1867b18644616292c77fe2ac1f2b179537' Submodule path 'deps/rax': checked out 'ba4529f6c836c9ff1296cde12b8557329f5530b7' Submodule path 'deps/readies': checked out 'd59f3ad4e9b3d763eb41df07567111dc94c6ecac' Submodule path 'deps/xxHash': checked out '726c14000ca73886f6258a6998fb34dd567030e9' $
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?
RediSearch - A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
Neo4j - Graphs for Everyone
libcypher-parser - Cypher Parser Library
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.
readies - Library cluster of common Redis Modules automation code
datalevin - A simple, fast and versatile Datalog database
Google Test - GoogleTest - Google Testing and Mocking Framework
datahike - A durable Datalog implementation adaptable for distribution.