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DBMS > Datomic vs. Dgraph vs. Quasardb vs. RDFox vs. RocksDB

System Properties Comparison Datomic vs. Dgraph vs. Quasardb vs. RDFox vs. RocksDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDgraph  Xexclude from comparisonQuasardb  Xexclude from comparisonRDFox  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed and scalable native Graph DBMSDistributed, high-performance timeseries databaseHigh performance knowledge graph and semantic reasoning engineEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSGraph DBMSTime Series DBMSGraph DBMS
RDF store
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitewww.datomic.comdgraph.ioquasar.aiwww.oxfordsemantic.techrocksdb.org
Technical documentationdocs.datomic.comdgraph.io/­docsdoc.quasar.ai/­masterdocs.oxfordsemantic.techgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectDgraph Labs, Inc.quasardbOxford Semantic TechnologiesFacebook, Inc.
Initial release20122016200920172013
Current release1.0.6735, June 20233.14.1, January 20246.0, Septermber 20228.11.4, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureGoC++C++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Windows
Linux
Data schemeyesschema-freeschema-freeyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesno
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.nononono
Secondary indexesyesyesyes infowith tagsno
SQL infoSupport of SQLnonoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP APIRESTful HTTP API
SPARQL 1.1
C++ API
Java API
Supported programming languagesClojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Java
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonono
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyesSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSynchronous replication via RaftSource-replica replication with selectable replication factorreplication via a shared file systemyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using LevelDByesyes
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 developmentyes infoTransient modeyesyes
User concepts infoAccess controlnono infoPlanned for future releasesCryptographically strong user authentication and audit trailRoles, resources, and access typesno

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Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

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More resources
DatomicDgraphQuasardbRDFoxRocksDB
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