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DBMS > GeoSpock vs. InterSystems Caché vs. Lovefield vs. Percona Server for MongoDB vs. TimesTen

System Properties Comparison GeoSpock vs. InterSystems Caché vs. Lovefield vs. Percona Server for MongoDB vs. TimesTen

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLovefield  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTimesTen  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA multi-model DBMS and application serverEmbeddable relational database for web apps written in pure JavaScriptA drop-in replacement for MongoDB Community Edition with enterprise-grade features.In-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegeospock.comwww.intersystems.com/­products/­cachegoogle.github.io/­lovefieldwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.intersystems.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.percona.com/­percona-distribution-for-mongodbdocs.oracle.com/­database/­timesten-18.1
DeveloperGeoSpockInterSystemsGooglePerconaOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release1997201420151998
Current release2.0, September 20192018.1.4, May 20202.1.12, February 20173.4.10-2.10, November 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScriptC++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesdepending on used data modelyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonono
Secondary indexestemporal, categoricalyesyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Java
JavaScriptActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyesnoJavaScriptPL/SQL
TriggersnoyesUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolesnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
GeoSpockInterSystems CachéLovefieldPercona Server for MongoDBTimesTen
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