DBMS > CrateDB vs. IBM Db2 vs. openGemini

System Properties Comparison CrateDB vs. IBM Db2 vs. openGemini

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Distributed Database based on Lucene

Common in IBM host environments, 2 different versions for host and Windows/Linux

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

Primary database model

Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS

Relational DBMS

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Time Series DBMS

Secondary database models

Relational DBMS

Document store
RDF store

in Db2 LUW (Linux, Unix, Windows)
Spatial DBMS

with Db2 Spatial Extender

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

Score	0.66
Rank	#223	Overall
	#37	Document stores
	#5	Spatial DBMS
	#17	Search engines
	#19	Time Series DBMS
	#16	Vector DBMS

Score	126.57
Rank	#9	Overall
	#6	Relational DBMS

Score	0.04
Rank	#366	Overall
	#39	Time Series DBMS

Website

cratedb.com

www.ibm.com/products/db2

www.opengemini.org
github.com/openGemini

Technical documentation

cratedb.com/docs

www.ibm.com/docs/en/db2

docs.opengemini.org/guide

Developer

Crate

IBM

Huawei and openGemini community

Initial release

2013

1983

host version

2022

Current release

5.8.1, August 2024

12.1, October 2016

1.1, July 2023

License

Commercial or Open Source

Open Source

commercial

free version is available

Open Source

Apache Version 2.0

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

C and C++

Server operating systems

All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux
Windows

Data scheme

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

yes

schema-free

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

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.

Secondary indexes

yes

SQL

Support of SQL

yes, but no triggers and constraints, and PostgreSQL compatibility

yes

SQL-like query language

APIs and other access methods

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

ADO.NET
JDBC
JSON style queries

MongoDB compatible
ODBC
XQuery

HTTP REST

Supported programming languages

.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

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

C
C++
Go
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

user defined functions (Javascript)

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

only with Windows/Unix/Linux Version

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Configurable replication on table/partition-level

yes

with separate tools (MQ, InfoSphere)

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Read-after-write consistency on record level

Foreign keys

Referential integrity

yes

Transaction concepts

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

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.

yes

User concepts

Access control

rights management via user accounts

fine grained access rights according to SQL-standard

Administrators and common users accounts

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

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

CrateDB Announces Strategic Partnership with Axcess.io to Drive Data Modernization and Real-Time Analytics on AWS
10 October 2024, PR Newswire

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

CrateDB Collaborates with ABB for Their industrial IoT and AI Suite
3 December 2024, PR Newswire

Real-Time Analytics Database Company CrateDB Names Lars Färnström as New CEO
1 March 2023, Business Wire

provided by Google News

IBM Db2 Modernizes With New AI-Powered Database Assistant
13 November 2024, Forbes

Db2 is a story worth telling, even if IBM won't
4 July 2024, The Register

Db2 12.1 is here: Unveiling the next-generation AI-powered enterprise database
18 November 2024, IBM

Db2 redux: Wrinkly old database gets 200 shiny new features -- and AI
25 November 2024, The Stack

PHP Database Programming with DB2
7 November 2024, SitePoint

provided by Google News

Huawei OpenGemini cloud series joined OpenEuler
17 March 2023, HC Newsroom

Open Source @ Huawei
9 February 2022, Huawei

provided by Google News

Share this page