DBMS > Oracle Coherence vs. YottaDB

System Properties Comparison Oracle Coherence vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

Oracles in-memory data grid solution

A fast and solid embedded Key-value store

Primary database model

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	1.69
Rank	#130	Overall
	#22	Key-value stores

Score	0.17
Rank	#314	Overall
	#44	Key-value stores

Website

www.oracle.com/java/coherence

yottadb.com

Technical documentation

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

yottadb.com/resources/documentation

Developer

Oracle

YottaDB, LLC

Initial release

2007

2001

Current release

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java VM

Docker
Linux

Data scheme

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

SQL

Support of SQL

by using the Octo plugin

APIs and other access methods

JCache
JPA
RESTful HTTP API

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net
C++
Java

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes, with selectable consistency level

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

configurable

optimistic locking

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

Users and groups based on OS-security mechanisms

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More resources

Recent citations in the news

CISA adds 2020 Oracle vulnerability to KEV: We hope you...
7 January 2025, The Stack

Article: Using Oracle Coherence with Spring Batch for High-Performance Data Processing
2 July 2019, oracle.com

Oracle Patch Update, January 2024 Security Update Review
17 January 2024, Qualys Blog

New solutions for Oracle WebLogic on Azure Virtual Machines
1 April 2021, azure.microsoft.com

Hazelcast takes on proprietary Oracle in the In-Memory arena
17 June 2014, DatacenterDynamics

provided by Google News

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