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DBMS > InterSystems Caché vs. MySQL vs. SQLite vs. Titan

System Properties Comparison InterSystems Caché vs. MySQL vs. SQLite vs. Titan

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonMySQL  Xexclude from comparisonSQLite  Xexclude from comparisonTitan  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 serverWidely used open source RDBMSWidely used embeddable, in-process RDBMSTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS infoKey/Value like access via memcached APIRelational DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitewww.intersystems.com/­products/­cachewww.mysql.comwww.sqlite.orggithub.com/­thinkaurelius/­titan
Technical documentationdocs.intersystems.comdev.mysql.com/­docwww.sqlite.org/­docs.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperInterSystemsOracle infosince 2010, originally MySQL AB, then SunDwayne Richard HippAurelius, owned by DataStax
Initial release1997199520002012
Current release2018.1.4, May 20208.4.0, April 20243.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoPublic DomainOpen Source infoApache license, version 2.0
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.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC and C++CJava
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
server-lessLinux
OS X
Unix
Windows
Data schemedepending on used data modelyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes infoSQL-92 is not fully supportedno
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyes infoproprietary syntaxnoyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesUsers with fine-grained authorization concept infono user groups or rolesnoUser authentification and security via Rexster Graph Server

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InterSystems CachéMySQLSQLiteTitan
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