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DBMS > Apache Phoenix vs. GraphDB vs. Teradata vs. TinkerGraph

System Properties Comparison Apache Phoenix vs. GraphDB vs. Teradata vs. TinkerGraph

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTeradata  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-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 hybrid cloud data analytics software platform (Teradata Vantage)A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitephoenix.apache.orgwww.ontotext.comwww.teradata.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationphoenix.apache.orggraphdb.ontotext.com/­documentationdocs.teradata.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software FoundationOntotextTeradata
Initial release2014200019842009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910.4, October 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinux
Unix
Windows
All OS with a Java VM
Linux
OS X
Windows
hosted
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free and OWL/RDFS-schema support; RDF shapesyesschema-free
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.nonoyesno
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyes infoSQL 2016 + extensionsno
APIs and other access methodsJDBCGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
TinkerPop 3
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Groovy
Java
Server-side scripts infoStored proceduresuser defined functionswell-defined plugin interfaces; JavaScript server-side extensibilityyes infoUDFs, stored procedures, table functions in parallelno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistencynone
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyDefault 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.fine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache PhoenixGraphDB infoformer name: OWLIMTeradataTinkerGraph
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
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