DBMS > InterSystems Caché vs. NuoDB vs. Oracle Coherence vs. StarRocks

System Properties Comparison InterSystems Caché vs. NuoDB vs. Oracle Coherence vs. StarRocks

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Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Description

A multi-model DBMS and application server

NuoDB is a webscale distributed database that supports SQL and ACID transactions

Oracles in-memory data grid solution

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Document store

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

Score	0.87
Rank	#201	Overall
	#94	Relational DBMS

Score	1.90
Rank	#127	Overall
	#21	Key-value stores

Score	0.95
Rank	#193	Overall
	#89	Relational DBMS

Website

www.intersystems.com/products/cache

www.3ds.com/nuodb-distributed-sql-database

www.oracle.com/java/coherence

www.starrocks.io

Technical documentation

docs.intersystems.com

doc.nuodb.com

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

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

InterSystems

Dassault Systèmes

originally NuoDB, Inc.

Oracle

The Linux Foundation

since Feb 2023

Initial release

1997

2013

2007

2020

Current release

2018.1.4, May 2020

14.1, August 2023

3.3, June 2024

License

Commercial or Open Source

commercial

limited edition free

commercial

Open Source

Apache Version 2.0

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

C++

Java

C++, Java

Server operating systems

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

hosted

Amazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows

All OS with a Java VM

Linux

Data scheme

depending on used data model

yes

schema-free

yes

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.NET Client API
JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC

JCache
JPA
RESTful HTTP API

JDBC
MySQL protocol

Supported programming languages

C#
C++
Java

.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby

.Net
C++
Java

Java

Server-side scripts

Stored procedures

yes

Java, SQL

user defined functions

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

data is dynamically stored/cached on the nodes where it is read/written

Sharding

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Managed transparently by NuoDB

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

tunable commit protocol

configurable

Concurrency

Support for concurrent manipulation of data

yes

MVCC

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

Temporary table

yes

User concepts

Access control

Access rights for users, groups and roles

Standard SQL roles/ privileges, Administrative Users

authentification to access the cache via certificates or http basic authentication

Role based access control and fine grained access rights

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More resources

DB-Engines blog posts

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