DBMS > GBase vs. Graph Engine vs. IBM Cloudant vs. JaguarDB vs. OpenMLDB

System Properties Comparison GBase vs. Graph Engine vs. IBM Cloudant vs. JaguarDB vs. OpenMLDB

Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Database as a Service offering based on Apache CouchDB

Performant, highly scalable DBMS for AI and IoT applications

An open-source machine learning database that provides a feature platform for training and inference

Primary database model

Relational DBMS

Graph DBMS
Key-value store

Document store

Key-value store
Vector DBMS

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	1.05
Rank	#186	Overall
	#86	Relational DBMS

Score	0.67
Rank	#232	Overall
	#21	Graph DBMS
	#34	Key-value stores

Score	2.75
Rank	#104	Overall
	#19	Document stores

Score	0.06
Rank	#381	Overall
	#59	Key-value stores
	#13	Vector DBMS

Score	0.10
Rank	#359	Overall
	#36	Time Series DBMS

Website

www.gbase.cn

www.graphengine.io

www.ibm.com/products/cloudant

www.jaguardb.com

openmldb.ai

Technical documentation

www.graphengine.io/docs/manual

cloud.ibm.com/docs/Cloudant

www.jaguardb.com/support.html

openmldb.ai/docs/zh/main

Developer

General Data Technology Co., Ltd.

Microsoft

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

DataJaguar, Inc.

4 Paradigm Inc.

Initial release

2004

2010

2015

2020

Current release

GBase 8a, GBase 8s, GBase 8c

3.3 July 2023

2024-2 February 2024

License

Commercial or Open Source

commercial

Open Source

MIT License

commercial

Open Source

GPL V3.0

Open Source

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C, Java, Python

.NET and C

Erlang

C++

the server part. Clients available in other languages

C++, Java, Scala

Server operating systems

Linux

.NET

hosted

Linux

Data scheme

yes

schema-free

yes

Fixed schema

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

Standard with numerous extensions

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

RESTful HTTP API

RESTful HTTP/JSON API

JDBC
ODBC

JDBC
SQLAlchemy

Supported programming languages

C#
C++
F#
Visual Basic

C#
Java
JavaScript
Objective-C
PHP
Ruby

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C++
Go
Java
Python
Scala

Server-side scripts

Stored procedures

user defined functions

yes

View functions (Map-Reduce) in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

horizontal partitioning

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

Multi-source replication

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

atomic operations within a document possible

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

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

yes

Access rights for users can be defined per database

rights management via user accounts

fine grained access rights according to SQL-standard

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More resources

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