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DBMS > Citus vs. Datomic vs. GigaSpaces vs. IBM Cloudant

System Properties Comparison Citus vs. Datomic vs. GigaSpaces vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDatomic  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDatabase as a Service offering based on Apache CouchDB
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Websitewww.citusdata.comwww.datomic.comwww.gigaspaces.comwww.ibm.com/­products/­cloudant
Technical documentationdocs.citusdata.comdocs.datomic.comdocs.gigaspaces.com/­latest/­landing.htmlcloud.ibm.com/­docs/­Cloudant
DeveloperCognitectGigaspaces TechnologiesIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2010201220002010
Current release8.1, December 20181.0.7180, July 202415.5, September 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infolimited edition freeOpen Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureJava, C++, .NetErlang
Server operating systemsLinuxAll OS with a Java VMLinux
macOS
Solaris
Windows
hosted
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infospecific XML type available, but no XML query functionalitynono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-99 for query and DML statementsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoTransaction FunctionsyesView functions (Map-Reduce) in JavaScript
TriggersyesBy using transaction functionsyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnone infoBut extensive use of caching in the application peersMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic locking
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access controlAccess rights for users can be defined per database

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More resources
CitusDatomicGigaSpacesIBM Cloudant
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