Postgres-XC
Postgres-XC is an open source, shared-nothing clustering extension for PostgreSQL. It provides horizontal scalability across multiple nodes for handling large workloads and high availability through automatic failover.
Postgres-XC: Open Source, Scalable Clustering Extension
Postgres-XC is an open source, shared-nothing clustering extension for PostgreSQL. It provides horizontal scalability across multiple nodes for handling large workloads and high availability through automatic failover.
What is Postgres-XC?
Postgres-XC is an open-source, shared-nothing clustering extension for PostgreSQL. It allows PostgreSQL to scale out to handle write-intensive workloads across multiple nodes. Some key features:
- Horizontal scalability and load balancing - Add more nodes to scale out performance for handling heavy workloads
- Shared-nothing architecture - Nodes do not share resources, improving performance and availability
- Automatic query parallelization - Queries are parallelized across nodes automatically
- Automatic failover and high availability - If a node fails, Postgres-XC handles failover automatically with minimal downtime
- Open source - Actively developed and supported open source project
Postgres-XC is designed for applications that require scalability beyond what a single PostgreSQL node can efficiently provide. Its shared-nothing scale-out architecture can deliver increased throughput and query performance for read and write-intensive workloads. The automated failover capabilities also make it suitable for applications requiring high availability.
Postgres-XC Features
Features
- Shared-nothing architecture for horizontal scalability
- Automatic query routing and parallelization
- Support for distributed transactions
- Automatic failover and load balancing
- Support for table partitioning across nodes
- Support for multi-master and master-standby clusters
Pricing
- Open Source
Pros
Scales horizontally to handle large workloads
Provides high availability through redundancy
Good performance through parallel query execution
Open source with community support
Cons
Complex installation and configuration
No visual management tools
Limited ecosystem compared to PostgreSQL
Requires expertise to operate and tune
Official Links
Reviews & Ratings
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