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DBMS > AnzoGraph DB vs. Datomic vs. GraphDB vs. Raima Database Manager vs. RocksDB

System Properties Comparison AnzoGraph DB vs. Datomic vs. GraphDB vs. Raima Database Manager vs. RocksDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.RDBMS with a small footprint, either embedded into an application or used as a database serverEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitecambridgesemantics.com/­anzographwww.datomic.comwww.ontotext.comraima.comrocksdb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comgraphdb.ontotext.com/­documentationdocs.raima.comgithub.com/­facebook/­rocksdb/­wiki
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperCambridge SemanticsCognitectOntotextRaima Inc.Facebook, Inc.
Initial release20182012200019842013
Current release2.3, January 20211.0.6735, June 202310.4, October 202315, June 20218.11.4, April 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infolimited edition freecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaCC++
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-free and OWL/RDFS-schema support; RDF shapesyesschema-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.nononono infoExporting/Importing of XML structures possibleno
Secondary indexesnoyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC++
Java
Python
Clojure
Java
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Objective-C
PL/SQL
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionswell-defined plugin interfaces; JavaScript server-side extensibilityyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationno
TriggersnoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnone infoBut extensive use of caching in the application peersnonehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infoConstraint checkingyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes 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.yesyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlAccess rights for users and rolesnoDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.nono
More information provided by the system vendor
AnzoGraph DBDatomicGraphDB infoformer name: OWLIMRaima Database Manager infoformerly named db_VistaRocksDB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Over 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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