DBMS > Citus vs. CockroachDB vs. Postgres-XL

System Properties Comparison Citus vs. CockroachDB vs. Postgres-XL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL

CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Primary database model

Relational DBMS

Secondary database models

Document store

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.91
Rank	#121	Overall
	#57	Relational DBMS

Score	3.90
Rank	#68	Overall
	#36	Relational DBMS

Score	0.33
Rank	#270	Overall
	#123	Relational DBMS

Website

www.citusdata.com

www.cockroachlabs.com

www.postgres-xl.org

Technical documentation

docs.citusdata.com

www.cockroachlabs.com/docs

www.postgres-xl.org/documentation

Developer

Cockroach Labs

Initial release

2010

2015

2014

since 2012, originally named StormDB

Current release

8.1, December 2018

24.1.0, May 2024

10 R1, October 2018

License

Commercial or Open Source

Open Source

AGPL, commercial license also available

Open Source

Apache 2.0, commercial license available

Open Source

Mozilla public license

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Server operating systems

Linux

Linux
macOS
Windows

Linux
macOS

Data scheme

yes

dynamic schema

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

specific XML type available, but no XML query functionality

yes

XML type, but no XML query functionality

Secondary indexes

yes

SQL

Support of SQL

yes

standard, with numerous extensions

yes, wire compatible with PostgreSQL

yes

distributed, parallel query execution

APIs and other access methods

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JDBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning (by key range)

all tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

other methods possible by using 3rd party extensions

Multi-source replication using RAFT

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

MVCC

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

fine grained access rights according to SQL-standard

Role-based access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL performance and scale
24 January 2019, The Official Microsoft Blog

Microsoft acquires Citus Data, creators of a cloud-friendly version of the PostgreSQL database
24 January 2019, GeekWire

Citus Data Announces Citus Cloud Database Support for HIPAA and SOC 2 Type 2 Compliance
13 November 2018, Business Wire

Microsoft acquires Citus Data
24 January 2019, TechCrunch

Microsoft acquires another open-source company, Citus Data
24 January 2019, CNBC

provided by Google News

IBM Expands Its Hybrid Cloud and AI Capabilities with CockroachDB Integration
7 May 2025, TipRanks

Cockroach Labs Brings Distributed SQL to IBM LinuxONE and Linux on IBM Z
7 May 2025, StreetInsider

Cockroach Labs Brings Distributed SQL to IBM LinuxONE and Linux on IBM Z
7 May 2025, Longview News-Journal

Cockroach Labs shakes up its licensing to force bigger companies to pay
15 August 2024, TechCrunch

AI Meets Resilience: Cockroach Labs Intros CockroachDB 24.2
2 October 2024, Channel Insider

provided by Google News

Share this page