DBMS > InterSystems Caché vs. Postgres-XL vs. SpatiaLite vs. SQL.JS

System Properties Comparison InterSystems Caché vs. Postgres-XL vs. SpatiaLite vs. SQL.JS

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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

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Spatial extension of SQLite

Port of SQLite to JavaScript

Primary database model

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Spatial DBMS

Relational DBMS

Secondary database models

Document store

Document store
Spatial DBMS

Relational DBMS

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

Score	0.49
Rank	#256	Overall
	#117	Relational DBMS

Score	1.60
Rank	#149	Overall
	#3	Spatial DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.intersystems.com/products/cache

www.postgres-xl.org

www.gaia-gis.it/fossil/libspatialite/index

sql.js.org

Technical documentation

docs.intersystems.com

www.postgres-xl.org/documentation

www.gaia-gis.it/gaia-sins/spatialite_topics.html

sql.js.org/documentation/index.html

Developer

InterSystems

Alessandro Furieri

Alon Zakai

enhancements implemented by others

Initial release

1997

2014

since 2012, originally named StormDB

2008

2012

Current release

2018.1.4, May 2020

10 R1, October 2018

5.0.0, August 2020

License

Commercial or Open Source

commercial

Open Source

Mozilla public license

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Open Source

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++

JavaScript

Server operating systems

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

Linux
macOS

server-less

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

depending on used data model

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

XML type, but no XML query functionality

Secondary indexes

yes

SQL

Support of SQL

yes

distributed, parallel query execution

yes

SQL-92 is not fully supported

APIs and other access methods

.NET Client API
JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JavaScript API

Supported programming languages

C#
C++
Java

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

JavaScript

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

MVCC

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

except by serializing a db to a file

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users, groups and roles

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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6 April 2021, Matthias Gelbmann

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