DBMS > Ehcache vs. IBM Db2 vs. Neo4j

System Properties Comparison Ehcache vs. IBM Db2 vs. Neo4j

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

Common in IBM host environments, 2 different versions for host and Windows/Linux

Open source graph database

Primary database model

Key-value store

Relational DBMS

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Graph DBMS

Secondary database models

Document store
RDF store

in DB2 LUW (Linux, Unix, Windows)

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

Score	6.99
Rank	#55	Overall
	#7	Key-value stores

Score	156.01
Rank	#6	Overall
	#5	Relational DBMS

Score	52.32
Rank	#18	Overall
	#1	Graph DBMS

Website

www.ehcache.org

www.ibm.com/analytics/db2

neo4j.com

Technical documentation

www.ehcache.org/documentation

www.ibm.com/support/knowledgecenter/SSEPGG

neo4j.com/docs

Developer

Terracotta Inc, owned by Software AG

IBM

Neo4j, Inc.

Initial release

2009

1983

host version

2007

Current release

3.8.1, September 2019

12.1, October 2016

4.2.3, January 2021

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

commercial

free version is available

Open Source

GPL version3, commercial licenses available

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++

Java, Scala

Server operating systems

All OS with a Java VM

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux

Can also be used server-less as embedded Java database.
OS X
Solaris
Windows

Data scheme

schema-free

yes

schema-free and schema-optional

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

pluggable indexing subsystem, by default Apache Lucene

SQL

Support of SQL

yes

APIs and other access methods

JCache

ADO.NET
JDBC
JSON style queries

MongoDB compatible
ODBC
XQuery

Bolt protocol
Cypher query language
Java API
Neo4j-OGM

Object Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3

Supported programming languages

Java

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala

Server-side scripts

Stored procedures

yes

User defined Procedures and Functions

Triggers

yes

Cache Event Listeners

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

Sharding

only with Windows/Unix/Linux Version

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

yes

with separate tools (MQ, InfoSphere)

Causal Clustering using Raft protocol

available in in Enterprise Version only

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)

Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode

Foreign keys

Referential integrity

yes

Relationships in graphs

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 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

Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

More information provided by the system vendor

Specific characteristics

Neo4j is a native graph database platform that is built to store, query, analyze...
» more

Competitive advantages

Neo4j database is the only transactional database that combines everything you need...
» more

Typical application scenarios

Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more

Key customers

Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more

Market metrics

Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more

Licensing and pricing models

GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more

News

Top 10 Use Cases: Master Data Management
1 March 2021

This Week in Neo4j – Information Extraction Pipeline, Chakra UI Component Library, NODES 2021
27 February 2021

Graphs in China: 5-Minute Interview with Richard Wu & George Zhang
26 February 2021

Unearthing Historical Networks Using Neo4j and Archival Documents
25 February 2021

Top 10 Use Cases: Empowering Network and IT Operations Management
22 February 2021

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