Question: Does PostgreSQL support sharding?


PostgreSQL, an advanced open-source database, has been evolving to meet the scalability and performance needs of modern applications. One approach to achieve scalability, particularly for read-heavy loads, is through replication. However, when it comes to write-heavy loads or massive datasets, sharding becomes crucial.

What is Sharding?

Sharding is a database architecture pattern that involves breaking up a large database into smaller, more manageable pieces called 'shards'. Each shard is a self-contained database instance that holds a subset of the data. Sharding can significantly increase the scalability and performance of a database system by distributing the load across multiple servers.

PostgreSQL and Sharding

Historically, PostgreSQL did not include built-in sharding capabilities. However, this does not mean PostgreSQL cannot support sharding. The PostgreSQL community has developed several extensions and foreign data wrappers (FDWs) to enable sharding on top of PostgreSQL. Some of these solutions include:

  • Citus: Citus is an extension to PostgreSQL that transforms it into a distributed database. It allows you to shard your PostgreSQL tables among multiple nodes. Citus distributes your data and queries across the cluster, enabling you to scale horizontally and leverage multiple cores and replicas. It's suitable for real-time analytics, multi-tenant applications, and high-throughput transactional workloads.

    -- Example of creating a distributed table with Citus SELECT create_distributed_table('my_table', 'distribution_column');
  • Postgres-XL: Postgres-XL is a fork of PostgreSQL designed for scalability and OLTP workloads. It supports transparent sharding along with MPP (Massively Parallel Processing) capabilities. With Postgres-XL, users can distribute their database over multiple nodes to handle larger data volumes and achieve higher query throughput.

  • Pgpool-II: Although Pgpool-II is primarily known for connection pooling, load balancing, and replication, it also offers a form of sharding. It allows the distribution of queries across multiple PostgreSQL servers, effectively enabling a sharding-like mechanism.

  • PL/Proxy: PL/Proxy is a database partitioning system implemented as a PostgreSQL extension. It's designed for cases where data needs to be partitioned among several PostgreSQL databases. PL/Proxy functions as a proxy for function calls, directing them to the correct shard based on function arguments.


While native sharding support in PostgreSQL is limited, the ecosystem provides robust solutions through extensions like Citus and Postgres-XL, among others. These tools enable PostgreSQL to handle larger datasets and more concurrent transactions by distributing data across multiple nodes. Depending on your specific use case, such as the need for real-time analytics or managing multi-tenant architectures, these solutions can help overcome the scalability limitations of a single-node PostgreSQL database.

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