Citus Data
Relational databases
Database software
Serial number database software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Citus Data and its alternatives fit your requirements.
Pay-as-you-go
Free TrialFree version
Small
Medium
Large
- Information technology and software
- Retail and wholesale
- Media and communications
What is Citus Data
Citus Data is a distributed database technology for PostgreSQL that scales relational workloads by sharding data and parallelizing queries across multiple nodes. It is used by engineering teams building multi-tenant SaaS applications, real-time analytics, and high-ingest event systems that need PostgreSQL compatibility with horizontal scale. The product is commonly deployed as an extension to PostgreSQL and is also available through managed cloud offerings. Its distinguishing approach is to keep PostgreSQL as the core engine while adding distributed query planning and distributed table management.
PostgreSQL-compatible distributed scaling
Citus extends PostgreSQL rather than introducing a separate query language or proprietary storage engine. This allows many existing PostgreSQL tools, drivers, and SQL features to remain usable while adding horizontal scale. Teams can often reuse schemas and application code patterns that already target PostgreSQL. This can reduce migration complexity compared with adopting a non-PostgreSQL database platform.
Parallel query execution
Citus distributes queries across worker nodes and aggregates results, which can improve performance for large tables and high-concurrency workloads. It supports distributed tables and reference tables to control how data is placed and joined. For analytics-style queries and multi-tenant patterns, parallelism can reduce response times compared with a single-node relational database. The architecture is designed to scale out by adding nodes rather than scaling up a single instance.
Flexible deployment options
Citus can be run in self-managed environments as PostgreSQL with the Citus extension, which fits organizations that need control over infrastructure and configuration. It is also available via managed PostgreSQL services that include Citus capabilities, which can reduce operational overhead for backups, patching, and high availability. This flexibility supports different compliance and cost requirements. It also enables incremental adoption where teams start small and scale out as needed.
Distributed design trade-offs
Sharding introduces constraints that do not exist in single-node PostgreSQL, especially for cross-shard joins, transactions, and certain schema designs. Query performance can vary depending on shard key choice and data distribution. Some workloads require careful modeling to avoid expensive distributed operations. These trade-offs can increase design and testing effort compared with traditional relational deployments.
Operational complexity at scale
Running a distributed PostgreSQL cluster adds moving parts such as coordinator/worker roles, shard rebalancing, and node management. Monitoring, capacity planning, and incident response can be more complex than for a single-instance database. Upgrades and maintenance may require additional planning to minimize downtime and ensure compatibility across nodes. Organizations without strong database operations practices may prefer fully managed alternatives.
Not serial-number focused
Although it is a relational database technology, Citus is not purpose-built for serial number tracking workflows or specialized serial-number data management features. Implementing serial-number-specific capabilities typically requires custom schema design, application logic, and integrations. Buyers looking for dedicated serial number database software may find the product too infrastructure-oriented. It is better suited to general-purpose relational and analytical workloads than to domain-specific serial number management.
Plan & Pricing
Pricing model: Mixed — Open-source (self-hosted) + managed cloud (Azure Cosmos DB for PostgreSQL).
Open-source (self-hosted)
- Price: Free
- Key notes: "The Citus extension to Postgres is 100% open source." (Citus Data official site). Download and self-manage.
Managed (Azure Cosmos DB for PostgreSQL)
- Pricing model: Pay-as-you-go (billed by node/vCore, storage, bandwidth) — region-based rates and reserved-capacity options available.
- Price: "Pricing starting at ~$0.27/hr" (East US) as listed on Citus Data's official pricing page.
- Key features & notes: Horizontal scale-out (multi-node clusters), single-node option for dev/test, HA doubles node count (affects price), backup storage and network egress billed separately; reserved (1-yr, 3-yr) capacity discounts available on Azure.
Example / callouts:
- Citus Data (official): lists Citus Open Source as Free and states "Citus on Azure — Pricing starting at ~$0.27/hr (East US)."
- Azure (official): detailed Azure Cosmos DB for PostgreSQL pricing pages show per-node (vCore) and per-GB storage charges, multi-node cluster pricing (workers start at 2 nodes), and reserved capacity discount options.
Discount/options: Reserved capacity (1-year, 3-year) on Azure; pricing varies by region; pay-as-you-go billing available.
Seller details
Microsoft Corporation (Citus Data acquired by Microsoft; Citus technology is used within Azure Database for PostgreSQL)
Redmond, Washington, United States
1975
Public
https://www.citusdata.com/
https://x.com/citusdata
https://www.linkedin.com/company/citus-data/
