DBMS > Apache Ignite vs. Graphite vs. Oracle Coherence

System Properties Comparison Apache Ignite vs. Graphite vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.

Data logging and graphing tool for time series data

The storage layer (fixed size database) is called Whisper

Oracles in-memory data grid solution

Primary database model

Key-value store
Relational DBMS

Time Series DBMS

Key-value store

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

Score	2.97
Rank	#88	Overall
	#12	Key-value stores
	#47	Relational DBMS

Score	4.81
Rank	#63	Overall
	#4	Time Series DBMS

Score	1.74
Rank	#131	Overall
	#22	Key-value stores

Website

ignite.apache.org

github.com/graphite-project/graphite-web

www.oracle.com/java/coherence

Technical documentation

apacheignite.readme.io/docs

graphite.readthedocs.io

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

Developer

Apache Software Foundation

Chris Davis

Oracle

Initial release

2015

2006

2007

Current release

2.16.0, December 2023

14.1, August 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++, Java, .Net

Python

Java

Server operating systems

Linux
OS X
Solaris
Windows

Linux
Unix

All OS with a Java VM

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

Numeric data only

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

ANSI-99 for query and DML statements, subset of DDL

APIs and other access methods

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

HTTP API
Sockets

JCache
JPA
RESTful HTTP API

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

JavaScript (Node.js)
Python

.Net
C++
Java

Server-side scripts

Stored procedures

yes (compute grid and cache interceptors can be used instead)

Triggers

yes (cache interceptors and events)

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

none

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

locking

yes

Durability

Support for making data persistent

yes

optionally

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Security Hooks for custom implementations

authentification to access the cache via certificates or http basic authentication

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Recent citations in the news

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18 July 2022, The Stack

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6 September 2023, Open Source For You

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