apache/age

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

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 14th, 2026
Created on July 1st, 2020
Open Issues & Pull Requests: 253 (+0)
GitHub issues: Enabled
Number of forks: 525
Total Stargazers: 4,828 (+0)
Total Subscribers: 78 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.6 days
Mean response time: 66.7 days
90th percentile: 90.3 days
Tracked items: 208

Most active contributors

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How this project is maintained

Roughly one issue in three opened in the past year never receives a reply. 99% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "bug" is answered fastest, typically in about 2 days, while "override-stale" waits about 7 months. 36% of tracked open issues have had no activity in three months. Only 39% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 127
New in 7 days: 3
Closed in 7 days: 1
Avg open age: 301 days
Stale 30+ days: 103
Stale 90+ days: 67

Recent activity

Opened in 7 days: 3
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 3

Top labels

  • bug (131)
  • question (63)
  • Stale (42)
  • enhancement (35)
  • override-stale (18)
  • feature request (6)
  • documentation (4)
  • good first issue (1)

Detailed Description

Apache AGE is a PostgreSQL extension that provides graph database capabilities on top of relational databases.

The tool addresses the need for multi-model databases that handle both relational and graph data in a single storage system. It works by extending PostgreSQL with graph database functionality, allowing users to query data using both standard ANSI SQL and openCypher, a popular graph query language. This approach lets organizations leverage their existing PostgreSQL infrastructure while adding graph processing and analytics capabilities without migrating to a separate database system.

Teams should adopt this tool if they need graph analysis alongside relational data and want to avoid maintaining multiple database systems. It suits projects requiring complex relationship queries such as fraud detection, recommendation systems, identity management, or knowledge graphs. The tool is particularly valuable for organizations already invested in PostgreSQL, as it preserves all existing PostgreSQL functionality while adding graph model support.

Development activity shows consistent engagement with the project, with regular issue tracking and community participation through forks and stars. The project maintains active support across multiple PostgreSQL versions, ensuring compatibility as the PostgreSQL ecosystem evolves.