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DBMS > Datomic vs. gStore vs. Hypertable vs. Realm

System Properties Comparison Datomic vs. gStore vs. Hypertable vs. Realm

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisongStore  Xexclude from comparisonHypertable  Xexclude from comparisonRealm  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA native Graph DBMS to store and maintain very large RDF datasets.An open source BigTable implementation based on distributed file systems such as HadoopA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSGraph DBMS
RDF store
Wide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score7.41
Rank#52  Overall
#8  Document stores
Websitewww.datomic.comen.gstore.cnrealm.io
Technical documentationdocs.datomic.comen.gstore.cn/­#/­enDocsrealm.io/­docs
DeveloperCognitectHypertable Inc.Realm, acquired by MongoDB in May 2019
Initial release2012201620092014
Current release1.0.7075, December 20231.2, November 20230.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSDOpen Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIHTTP API
SPARQL 1.1
C++ API
Thrift
Supported programming languagesClojure
Java
C++
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnono inforuns within the applications so server-side scripts are unnecessary
TriggersBy using transaction functionsnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes infoIn-Memory realm
User concepts infoAccess controlnoUsers, roles and permissions, Role-Based Access Control (RBAC) supportednoyes

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DatomicgStoreHypertableRealm
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