DBMS > Oracle Coherence vs. Transbase vs. Transwarp StellarDB vs. VelocityDB

System Properties Comparison Oracle Coherence vs. Transbase vs. Transwarp StellarDB vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

Oracles in-memory data grid solution

A resource-optimized, high-performance, universally applicable RDBMS

A distributed graph DBMS built for enterprise-level graph applications

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

Key-value store

Relational DBMS

Graph DBMS

Graph DBMS
Object oriented DBMS

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

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	0.11
Rank	#341	Overall
	#150	Relational DBMS

Score	0.00
Rank	#383	Overall
	#39	Graph DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Website

www.oracle.com/java/coherence

www.transaction.de/en/products/transbase.html

www.transwarp.cn/en/product/stellardb

velocitydb.com

Technical documentation

docs.oracle.com/en/middleware/standalone/coherence

www.transaction.de/en/products/transbase/features.html

velocitydb.com/UserGuide

Developer

Oracle

Transaction Software GmbH

Transwarp

VelocityDB Inc

Initial release

2007

1987

2011

Current release

14.1, August 2023

Transbase 8.3, 2022

7.x

License

Commercial or Open Source

commercial

free development license

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 OS with a Java VM

FreeBSD
Linux
macOS
Solaris
Windows

Any that supports .NET

Data scheme

schema-free

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.

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

JCache
JPA
RESTful HTTP API

ADO.NET
JDBC
ODBC
Proprietary native API

OpenCypher

.Net

Supported programming languages

.Net
C++
Java

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

Live Events

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with selectable consistency level

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
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

configurable

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

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

authentification to access the cache via certificates or http basic authentication

fine grained access rights according to SQL-standard

yes

Based on Windows Authentication

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