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DBMS > IBM Cloudant vs. JaguarDB vs. JanusGraph vs. PostGIS vs. Spark SQL

System Properties Comparison IBM Cloudant vs. JaguarDB vs. JanusGraph vs. PostGIS vs. Spark SQL

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonJaguarDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPostGIS  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applicationsA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Spatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeKey-value store
Vector DBMS
Graph DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.ibm.com/­products/­cloudantwww.jaguardb.comjanusgraph.orgpostgis.netspark.apache.org/­sql
Technical documentationcloud.ibm.com/­docs/­Cloudantwww.jaguardb.com/­support.htmldocs.janusgraph.orgpostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.Linux Foundation; originally developed as Titan by AureliusApache Software Foundation
Initial release20102015201720052014
Current release3.3 July 20230.6.3, February 20233.4.2, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoApache 2.0Open Source infoGPL v2.0Open Source infoApache 2.0
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 languageErlangC++ infothe server part. Clients available in other languagesJavaCScala
Server operating systemshostedLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnoyesuser defined functionsno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)yes infobased on PostgreSQLyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyesyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users can be defined per databaserights management via user accountsUser authentification and security via Rexster Graph Serveryes infobased on PostgreSQLno

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More resources
IBM CloudantJaguarDBJanusGraph infosuccessor of TitanPostGISSpark SQL
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