DBMS > CockroachDB vs. CrateDB vs. OpenQM

System Properties Comparison CockroachDB vs. CrateDB vs. OpenQM

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Editorial information provided by DB-Engines

Name

Description

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.

Distributed Database based on Lucene

QpenQM is a high-performance, self-tuning, multi-value DBMS

Primary database model

Relational DBMS

Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS

Multivalue DBMS

Secondary database models

Relational DBMS

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

Score	4.17
Rank	#65	Overall
	#36	Relational DBMS

Score	0.64
Rank	#227	Overall
	#37	Document stores
	#5	Spatial DBMS
	#17	Search engines
	#19	Time Series DBMS
	#16	Vector DBMS

Score	0.25
Rank	#293	Overall
	#10	Multivalue DBMS

Website

www.cockroachlabs.com

cratedb.com

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

Technical documentation

www.cockroachlabs.com/docs

cratedb.com/docs

Developer

Cockroach Labs

Crate

Rocket Software, originally Martin Phillips

Initial release

2015

2013

1993

Current release

24.1.0, May 2024

5.8.1, August 2024

3.4-12

License

Commercial or Open Source

Open Source

Apache 2.0, commercial license available

Open Source

GPLv2, extended commercial license available

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

Java

Server operating systems

Linux
macOS
Windows

All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Data scheme

dynamic schema

Flexible Schema (defined schema, partial schema, schema free)

yes

with some exceptions

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

Secondary indexes

yes

SQL

Support of SQL

yes, wire compatible with PostgreSQL

yes, but no triggers and constraints, and PostgreSQL compatibility

APIs and other access methods

JDBC

ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API

Supported programming languages

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

.NET
Erlang
Go

community maintained client
Java
JavaScript (Node.js)

community maintained client
Perl

community maintained client
PHP
Python
R
Ruby

community maintained client
Scala

community maintained client

.Net
Basic
C
Java
Objective C
PHP
Python

Server-side scripts

Stored procedures

user defined functions (Javascript)

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

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

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication using RAFT

Configurable replication on table/partition-level

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Read-after-write consistency on record level

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

unique row identifiers can be used for implementing an optimistic concurrency control strategy

ACID

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

Role-based access control

rights management via user accounts

Access rights can be defined down to the item level

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More resources

Recent citations in the news

Yubi Partners with Cockroach Labs to Power the Future of Credit Infrastructure
22 April 2025, StreetInsider

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

Yubi partners with Cockroach Labs to transform India’s credit infrastructure
24 April 2025, Indian Startup News

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

Now CockroachDB Ditches Open-Source License
20 August 2024, It's FOSS News

provided by Google News

CrateDB’s real-time abilities in time-sensitive settings
12 December 2024, Developer Tech News

ABB Revolutionizes Smart Charging with OPTIMAX® Cloud, Powered by CrateDB
21 January 2025, PR Newswire

Tech Mahindra & CrateDB Forge AI-Powered Future for Smart Industries
2 April 2025, newskarnataka.com

Tech Mahindra, CrateDB Partner for Agentic AI in Industry
2 April 2025, Bisinfotech

Power projects: ABB, Sonocharge Energy, Solar Proponent, Ameresco
23 January 2025, GreentechLead

provided by Google News

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