DBMS > Ehcache vs. openGemini vs. TerminusDB vs. VelocityDB

System Properties Comparison Ehcache vs. openGemini vs. TerminusDB vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

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

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

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

Primary database model

Key-value store

Time Series DBMS

Graph DBMS

Graph DBMS
Object oriented DBMS

Secondary database models

Document store
RDF store

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

Score	4.89
Rank	#67	Overall
	#8	Key-value stores

Score	0.01
Rank	#375	Overall
	#39	Time Series DBMS

Score	0.17
Rank	#325	Overall
	#29	Graph DBMS

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

Website

www.ehcache.org

www.opengemini.org
github.com/openGemini

terminusdb.com

velocitydb.com

Technical documentation

www.ehcache.org/documentation

docs.opengemini.org/guide

terminusdb.github.io/terminusdb/#

velocitydb.com/UserGuide

Developer

Terracotta Inc, owned by Software AG

Huawei and openGemini community

DataChemist Ltd.

VelocityDB Inc

Initial release

2009

2022

2018

2011

Current release

3.10.0, March 2022

1.1, July 2023

11.0.0, January 2023

7.x

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

Open Source

Apache Version 2.0

Open Source

GPL V3

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

Prolog, Rust

Server operating systems

All OS with a Java VM

Linux
Windows

Linux

Any that supports .NET

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

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

SQL-like query language

SQL-like query language (WOQL)

APIs and other access methods

JCache

HTTP REST

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

.Net

Supported programming languages

Java

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

JavaScript
Python

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

Cache Event Listeners

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

Sharding

Graph Partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

yes

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

supports JTA and can work as an XA resource

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

yes

in-memory journaling

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

Administrators and common users accounts

Role-based access control

Based on Windows Authentication

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