PolarDB

PolarDB for PostgreSQL is an open-source, cloud-native relational database developed by Alibaba Cloud that extends PostgreSQL with distributed database capabilities, high availability, scalability, and optimized performance. It provides a PostgreSQL-compatible environment for applications that require a reliable and scalable database platform.

The solution supports modern database workloads including transactional applications, analytical workloads, large-scale data processing, and cloud-native deployments. It is suitable for developers, database administrators, enterprises, research environments, and organizations that need a scalable PostgreSQL-compatible database platform.

Features of PolarDB for PostgreSQL:

• Open-source, PostgreSQL-compatible relational database.
• Cloud-native distributed database architecture.
• Based on PostgreSQL 17.
• High availability and fault-tolerant database capabilities.
• Scalable architecture for demanding workloads.
• Supports transactional and analytical database workloads.
• Efficient storage and compute resource utilization.
• Compatible with the PostgreSQL ecosystem and tools.
• Suitable for cloud, enterprise, development, and testing environments.
• Can be deployed using Docker for self-hosted environments.

Usage instructions

Start PolarDB
$ sudo su
$ cd /opt/polardb
$ sudo docker run -d \
  --name polardb \
  --hostname polardb \
  --restart unless-stopped \
  --cap-add=SYS_PTRACE \
  --privileged=true \
  -p 5432:5432 \
  -v polardb-data:/var/lib/postgresql/data \
  polardb/polardb_pg_local_instance:17

#Check the container: $ sudo docker ps
#Check PolarDB version: sudo docker exec -it polardb psql -c "SELECT version();"

Disclaimer: PolarDB for PostgreSQL is provided “as is” under its applicable open-source licenses. Users are responsible for secure configuration, authentication, access control, backups, network security, monitoring, and protection of database data. This solution is suitable for self-hosted PostgreSQL-compatible database deployments, cloud-native applications, enterprise workloads, development environments, and scalable data management workflows.