polardb/PolarDB-for-PostgreSQL

A cloud-native database based on PostgreSQL developed by Alibaba Cloud.

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Summary Information

Updated 45 seconds ago
Type:Server / PlatformCategory(s):Relational & SQL DatabasesDatabases & Storage
Added to GitGenius on September 21st, 2026
Created on May 25th, 2021
Open Issues & Pull Requests: 67 (+1)
GitHub issues: Enabled
Number of forks: 523
Total Stargazers: 3,204 (+0)
Total Subscribers: 61 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.0 days
Mean response time: 32.4 days
90th percentile: 66.7 days
Tracked items: 32

How this project is maintained

100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 79% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 44
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 245 days
Stale 30+ days: 43
Stale 90+ days: 20

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (33)
  • question (25)

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Detailed Description

PolarDB for PostgreSQL is a cloud-native relational database system that extends PostgreSQL with distributed and hybrid transactional-analytical processing capabilities.

The project addresses the need for databases optimized for cloud environments by building on PostgreSQL's foundation while adding architectural features for scalability and performance across mixed workloads. It implements a shared-storage architecture that separates compute from storage, allowing multiple database instances to access the same data layer. This design enables horizontal scaling of read replicas and supports both transactional and analytical queries on the same dataset without requiring separate systems or complex synchronization.

Organizations considering adoption should evaluate whether their workloads benefit from cloud-native architecture and whether they need HTAP capabilities that combine OLTP and OLAP performance. The tool suits projects already invested in PostgreSQL that want to scale beyond single-instance limitations while maintaining SQL compatibility. Teams should assess their cloud infrastructure readiness, as the system is designed for cloud deployment rather than traditional on-premises setups. The README does not position the tool against specific alternatives, so direct comparisons with other PostgreSQL forks or distributed databases cannot be made from the supplied information.

Development activity shows consistent engagement with the codebase through regular commits addressing both new features and maintenance. The project maintains active issue tracking with responses to user-reported problems and feature requests. Documentation is actively maintained across multiple languages, indicating attention to accessibility for diverse user communities. Pull requests receive review and integration, demonstrating an open development process. The project sustains long-term investment in core database functionality rather than pursuing rapid feature expansion, suggesting a focus on stability and reliability in the distributed database layer.