DBMS > CrateDB vs. ObjectBox vs. OpenQM vs. Yaacomo

System Properties Comparison CrateDB vs. ObjectBox vs. OpenQM vs. Yaacomo

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Editorial information provided by DB-Engines

Name

Yaacomo seems to be discontinued and is removed from the DB-Engines ranking

Description

Distributed Database based on Lucene

Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors

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

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS

Object oriented DBMS
Vector DBMS

Multivalue DBMS

Relational DBMS

Secondary database models

Relational DBMS

Time Series DBMS

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

Score	0.64
Rank	#225	Overall
	#37	Document stores
	#5	Spatial DBMS
	#16	Search engines
	#19	Time Series DBMS
	#12	Vector DBMS

Score	1.10
Rank	#173	Overall
	#6	Object oriented DBMS
	#10	Vector DBMS

Score	0.26
Rank	#293	Overall
	#10	Multivalue DBMS

Website

cratedb.com

github.com/objectbox
objectbox.io

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

yaacomo.com

Technical documentation

cratedb.com/docs

docs.objectbox.io

Developer

Crate

ObjectBox Limited

Rocket Software, originally Martin Phillips

Q2WEB GmbH

Initial release

2013

2017

1993

2009

Current release

5.8.1, August 2024

4.0 (May 2024)

3.4-12

License

Commercial or Open Source

Open Source

Bindings are released under Apache 2.0

Apache License 2.0

Open Source

GPLv2, extended commercial license available

commercial

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

Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Android
Linux
Windows

Data scheme

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

yes

with some exceptions

yes

Typing

predefined data types such as float or date

yes

yes, plus "flex" map-like types

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, but no triggers and constraints, and PostgreSQL compatibility

yes

APIs and other access methods

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

Proprietary native API

JDBC
ODBC

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++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift

.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

Sharding

none

yes

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Configurable replication on table/partition-level

Data sync between devices allowing occasional connected databases to work completely offline

yes

Source-replica replication

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

Immediate Consistency

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

yes

Access rights can be defined down to the item level

fine grained access rights according to SQL-standard

More information provided by the system vendor

News

Bi-directional Offline-First Data Sync with MongoDB and ObjectBox
21 October 2024

The rise of small language models
2 October 2024

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

CrateDB, a name that we will hear more in the future
24 October 2024, AWS Blog

Crate.io Introduces CrateDB 2.0 Enterprise and Open Source Editions
16 May 2017, Business Wire

CrateDB Announces New Executive Leadership Appointments
29 August 2023, PR Newswire

CrateDB: The IoT and machine data-focused database
14 December 2016, Network World

Crate.io Brings Power of Industrial SQL Time Series to Azure IoT Hub to Reduce IoT Systems Cost and Complexity
24 September 2018, Business Wire

provided by Google News

Industrial IoT (IIoT) edge solution for railway operators – a Kapsch ObjectBox Case Study
21 June 2019, 1E9

provided by Google News

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