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DBMS > GeoSpock vs. InterSystems Caché vs. JanusGraph vs. Postgres-XL

System Properties Comparison GeoSpock vs. InterSystems Caché vs. JanusGraph vs. Postgres-XL

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPostgres-XL  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 serverA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Graph DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegeospock.comwww.intersystems.com/­products/­cachejanusgraph.orgwww.postgres-xl.org
Technical documentationdocs.intersystems.comdocs.janusgraph.orgwww.postgres-xl.org/­documentation
DeveloperGeoSpockInterSystemsLinux Foundation; originally developed as Titan by Aurelius
Initial release199720172014 infosince 2012, originally named StormDB
Current release2.0, September 20192018.1.4, May 20200.6.3, February 202310 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Data schemeyesdepending on used data modelyesyes
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.noyesnoyes infoXML type, but no XML query functionality
Secondary indexestemporal, categoricalyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesnoyes infodistributed, parallel query execution
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Java
Clojure
Java
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesyesuser defined functions
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
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
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
GeoSpockInterSystems CachéJanusGraph infosuccessor of TitanPostgres-XL
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