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DBMS > InterSystems Caché vs. Realm vs. Titan vs. VoltDB

System Properties Comparison InterSystems Caché vs. Realm vs. Titan vs. VoltDB

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonRealm  Xexclude from comparisonTitan  Xexclude from comparisonVoltDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA multi-model DBMS and application serverA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTitan is a Graph DBMS optimized for distributed clusters.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Document storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.60
Rank#52  Overall
#9  Document stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.intersystems.com/­products/­cacherealm.iogithub.com/­thinkaurelius/­titanwww.voltdb.com
Technical documentationdocs.intersystems.comrealm.io/­docsgithub.com/­thinkaurelius/­titan/­wikidocs.voltdb.com
DeveloperInterSystemsRealm, acquired by MongoDB in May 2019Aurelius, owned by DataStaxVoltDB Inc.
Initial release1997201420122010
Current release2018.1.4, May 202011.3, April 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache license, version 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Unix
Windows
Linux
OS X infofor development
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonoyes infoonly a subset of SQL 99
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
Clojure
Java
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesno inforuns within the applications so server-side scripts are unnecessaryyesJava
Triggersyesyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and rolesyesUser authentification and security via Rexster Graph ServerUsers and roles with access to stored procedures

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More resources
InterSystems CachéRealmTitanVoltDB
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