DBMS > atoti vs. InterSystems Caché

System Properties Comparison atoti vs. InterSystems Caché

Please select another system to include it in the comparison.

Our visitors often compare atoti and InterSystems Caché with MongoDB and MySQL.

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

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

A multi-model DBMS and application server

Primary database model

Object oriented DBMS

Key-value store
Object oriented DBMS
Relational DBMS

Secondary database models

Document store

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

Score	0.48
Rank	#246	Overall
	#11	Object oriented DBMS

Website

atoti.io

www.intersystems.com/products/cache

Technical documentation

docs.atoti.io

docs.intersystems.com

Developer

ActiveViam

InterSystems

Initial release

1997

Current release

2018.1.4, May 2020

License

Commercial or Open Source

commercial

free versions available

commercial

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

Java

Server operating systems

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

Data scheme

depending on used data model

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

Multidimensional Expressions (MDX)

yes

APIs and other access methods

.NET Client API
JDBC
ODBC
RESTful HTTP API

Supported programming languages

C#
C++
Java

Server-side scripts

Stored procedures

Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (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

Access rights for users, groups and roles

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

ActiveViam Announces Leadership Succession
4 September 2024, Business Wire

provided by Google News

Contracts for September 21, 2023
21 September 2023, U.S. Department of Defense (.gov)

Associative Data Modeling Demystified – Part1
9 July 2016, Data Science Central

Cast Your Vote for Best Overall Database in the DBTA Readers’ Choice Awards
23 April 2014, Database Trends and Applications

Epic On EHR Interoperability: Not A '1-Time Project'
10 April 2015, Information Week

Announcing IBM Spectrum Sentinel: Building a Cyber Resilient Future
24 June 2022, IBM

provided by Google News

Share this page