DBMS > Ingres vs. InterSystems Caché vs. Oracle Rdb vs. Pinecone

System Properties Comparison Ingres vs. InterSystems Caché vs. Oracle Rdb vs. Pinecone

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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

Well established RDBMS

A multi-model DBMS and application server

A managed, cloud-native vector database

Primary database model

Relational DBMS

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Vector DBMS

Secondary database models

Document store

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

Score	3.80
Rank	#82	Overall
	#44	Relational DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	3.23
Rank	#92	Overall
	#2	Vector DBMS

Website

www.actian.com/databases/ingres

www.intersystems.com/products/cache

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

www.pinecone.io

Technical documentation

docs.actian.com/ingres

docs.intersystems.com

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

docs.pinecone.io/docs/overview

Developer

Actian Corporation

InterSystems

Oracle, originally developed by Digital Equipment Corporation (DEC)

Pinecone Systems, Inc

Initial release

1974

originally developed at University Berkely in early 1970s

1997

1984

2019

Current release

11.2, May 2022

2018.1.4, May 2020

7.4.1.1, 2021

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Server operating systems

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

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

HP Open VMS

hosted

Data scheme

yes

depending on used data model

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

Typing

predefined data types such as float or date

yes

String, Number, Boolean

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.

but tools for importing/exporting data from/to XML-files available

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

.NET Client API
JDBC
ODBC
RESTful HTTP API

RESTful HTTP API

Supported programming languages

C#
C++
Java

Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Ingres Star to access multiple databases simultaneously

none

Replication methods

Methods for redundantly storing data on multiple nodes

Ingres Replicator

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

MVCC

yes

Durability

Support for making data persistent

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

Access rights for users, groups and roles

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More resources

DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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