DBMS > Ehcache vs. EsgynDB vs. Oracle Rdb vs. SWC-DB

System Properties Comparison Ehcache vs. EsgynDB vs. Oracle Rdb vs. SWC-DB

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

A high performance, scalable Wide Column DBMS

Primary database model

Key-value store

Relational DBMS

Wide column store

Secondary database models

Time Series DBMS

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

Score	4.64
Rank	#68	Overall
	#8	Key-value stores

Score	0.25
Rank	#312	Overall
	#138	Relational DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Website

www.ehcache.org

www.esgyn.cn

www.oracle.com/database/technologies/related/rdb.html

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

www.ehcache.org/documentation

www.oracle.com/database/technologies/related/rdb-doc.html

Developer

Terracotta Inc, owned by Software AG

Esgyn

Oracle, originally developed by Digital Equipment Corporation (DEC)

Alex Kashirin

Initial release

2009

2015

1984

2020

Current release

3.10.0, March 2022

7.4.1.1, 2021

0.5, April 2021

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

commercial

Open Source

GPL V3

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++, Java

C++

Server operating systems

All OS with a Java VM

Linux

HP Open VMS

Linux

Data scheme

schema-free

yes

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

schema-free

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

ADO.NET
JDBC
ODBC

Proprietary protocol
Thrift

Supported programming languages

Java

All languages supporting JDBC/ODBC/ADO.Net

C++

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

yes

Cache Event Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

Multi-source replication between multi datacenters

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

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

fine grained access rights according to SQL-standard

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