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DBMS > atoti vs. GraphDB vs. TigerGraph vs. TinkerGraph vs. Valentina Server

System Properties Comparison atoti vs. GraphDB vs. TigerGraph vs. TinkerGraph vs. Valentina Server

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Enterprise-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.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIObject-relational database and reports server
Primary database modelObject oriented DBMSGraph DBMS
RDF store
Graph DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score3.10
Rank#100  Overall
#7  Graph DBMS
#4  RDF stores
Score1.83
Rank#141  Overall
#13  Graph DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websiteatoti.iowww.ontotext.comwww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.valentina-db.net
Technical documentationdocs.atoti.iographdb.ontotext.com/­documentationdocs.tigergraph.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperActiveViamOntotextParadigma Software
Initial release2000201720091999
Current release10.4, October 20235.7.5
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoApache 2.0commercial
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 languageJavaJavaC++Java
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query language (GSQL)noyes
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3ODBC
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
Groovy
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresPythonwell-defined plugin interfaces; JavaScript server-side extensibilityyesnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)none
Foreign keys infoReferential integrityyes infoConstraint checkingyes infoRelationships in graphsyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesno
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlDefault 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.Role-based access controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
atotiGraphDB infoformer name: OWLIMTigerGraphTinkerGraphValentina Server
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
atotiGraphDB infoformer name: OWLIMTigerGraphTinkerGraphValentina Server
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