Citus Data

Citus Data is a database technology organization focused on distributed extensions for PostgreSQL (data management) that support horizontal scaling for transactional and analytical workloads.

• Distributed PostgreSQL extension for scaling out workloads across multiple servers (data management).
• Sharding and replication capabilities for multi-tenant and high-throughput applications.
• Support for real-time analytics and mixed OLTP/OLAP workloads on PostgreSQL.
• Integration with PostgreSQL ecosystem tools and compatibility with standard Structured Query Language (SQL).
• Commercial support, managed offerings, and guidance for deploying distributed PostgreSQL clusters.

More About Citus Data

Citus Data focuses on extending PostgreSQL (data management) with distributed database capabilities designed for organizations that need to scale out beyond the limits of a single node. Its software is used in enterprise and institutional environments where teams want to keep the PostgreSQL ecosystem, SQL syntax, and tooling, while distributing data and queries across multiple machines. The Citus extension operates inside PostgreSQL, which means applications continue to connect using standard PostgreSQL drivers and protocols, and can use existing libraries, ORMs, and administration practices.

The Citus extension (data management) implements a distributed architecture based on table sharding and replication. Tables can be defined as distributed, reference, or local, with distributed tables partitioned by a chosen distribution column. Shards are placed across worker nodes, and a coordinator node routes queries to the relevant shards. This architecture is designed to support horizontal scale-out for both write-heavy transactional workloads and read-heavy analytical queries. Citus also supports co-location of related data on the same nodes to reduce cross-node joins, as well as parallel execution of queries across shards.

From a technology stack perspective, Citus uses PostgreSQL’s extensibility framework, including foreign data wrappers, custom data types, and planner hooks, to add distribution logic while staying compatible with standard PostgreSQL features where possible. It works with PostgreSQL’s wire protocol, authentication, and role system, so existing drivers and access control practices continue to function. Citus clusters can be deployed on virtual machines, containers, or managed PostgreSQL services that support the extension, depending on enterprise requirements for operations and governance.

In comparison to standalone relational databases, Citus is categorized within distributed SQL databases and scale-out relational systems. It differs from separate NoSQL or key-value stores by retaining PostgreSQL’s relational model, ACID transactions within certain scopes, and SQL query capabilities, which is relevant for teams that want relational schemas and transactional guarantees alongside scale-out characteristics. Within enterprise architectures, Citus is commonly positioned for Software-as-a-Service (SaaS) multi-tenant backends, event and time-series data, and analytical dashboards where concurrency and data volumes exceed a single-node PostgreSQL server.

For directory and marketplace categorization, Citus Data fits under distributed SQL databases, PostgreSQL extensions, and data platform scaling solutions within the broader data management and analytics infrastructure domain. Its offerings address scenarios where organizations standardize on PostgreSQL but require horizontal scalability for production workloads, while keeping operational models and Developer Experience (DevEx) aligned with the PostgreSQL ecosystem.