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apache
age
C2021–2026
apache / age

age

Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.

14Distinct people
17Mentions
0Explicit recommenders
4.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:45:45 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year17 dated mentions

Observed mentions: 2021-03-04 23:36:46 UTC to 2026-06-01 16:15:39 UTC.

02462021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 5 mentions; 5 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC303
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC550
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC606
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC110
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

1 sources
> ...add something like apache AGE, but arguably that is also a small ecosystem (at least IMHO as I never heard it until I actually started looking for Neo4J alternatives) Outside of the most trivial use cases, I've found that AGE will not get anywhere near Neo4j in terms of performance and there's a lot of edge cases that just flat out won't work. The interesting types of queries you'd want to do in the graph end up being quite limited in AGE openCypher; I could not write very complex Cypher that would otherwise work well in Neo4j. I appreciate having the option, but for most use cases on Pg, you are better off just using JOINs or switch to Neo4j for your graph workloads. I switched some workloads back to using different approaches of approximating "connectedness" in Pg (e.g. using Jaccard similarity) If you do go down this route, the
Read the rest
easiest way to get coding agents to figure out AGE is actually their regressions SQL tests: https://github.com/apache/age/tree/master/regress/sql This has a lot of examples for the agent to know what will/won't work with AGE versus Neo4j Cypher.
In Benchmarking SurrealDB 3.x vs. Postgres, Mongo, Neo4j and Redis (With Fsync)

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