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DBMS > Apache Phoenix vs. Apache Pinot vs. GraphDB vs. TerminusDB

System Properties Comparison Apache Phoenix vs. Apache Pinot vs. GraphDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonApache Pinot  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyEnterprise-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.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitephoenix.apache.orgpinot.apache.orgwww.ontotext.comterminusdb.com
Technical documentationphoenix.apache.orgdocs.pinot.apache.orggraphdb.ontotext.com/­documentationterminusdb.github.io/­terminusdb/­#
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software FoundationApache Software Foundation and contributorsOntotextDataChemist Ltd.
Initial release2014201520002018
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.0, September 202310.4, October 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaProlog, Rust
Server operating systemsLinux
Unix
Windows
All OS with a Java JDK11 or higherAll OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free and OWL/RDFS-schema support; RDF shapesyes
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 indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLyesSQL-like query languagestored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query language (WOQL)
APIs and other access methodsJDBCJDBCGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionswell-defined plugin interfaces; JavaScript server-side extensibilityyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
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)
Foreign keys infoReferential integritynoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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.Role-based access control
More information provided by the system vendor
Apache PhoenixApache PinotGraphDB infoformer name: OWLIMTerminusDB infoformer name was DataChemist
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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Recent citations in the news

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