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DBMS > AllegroGraph vs. Apache Pinot vs. GraphDB

System Properties Comparison AllegroGraph vs. Apache Pinot vs. GraphDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Pinot  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSRealtime 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.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#216  Overall
#36  Document stores
#19  Graph DBMS
#9  RDF stores
#13  Vector DBMS
Score0.37
Rank#263  Overall
#121  Relational DBMS
Score2.63
Rank#97  Overall
#7  Graph DBMS
#4  RDF stores
Websiteallegrograph.compinot.apache.orgwww.ontotext.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.pinot.apache.orggraphdb.ontotext.com/­documentation
Social network pagesLinkedInGitHubTwitterMediumYouTube
DeveloperFranz Inc.Apache Software Foundation and contributorsOntotext
Initial release200420152000
Current release8.0, December 20231.0.0, September 202310.4, October 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercial infoSome plugins of GraphDB Workbench are open sourced
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java JDK11 or higherAll OS with a Java VM
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesschema-free and OWL/RDFS-schema support; RDF shapes
Typing infopredefined data types such as float or dateyesyesyes
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.no infobulk load of XML files possibleno
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languagestored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispwell-defined plugin interfaces; JavaScript server-side extensibility
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationDefault 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.
More information provided by the system vendor
AllegroGraphApache PinotGraphDB infoformer name: OWLIM
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
News

Knowledge Graphs in Modern Hybrid AI Architectures
29 January 2025

2025 Trend-Setting Product – AllegroGraph
17 December 2024

AllegroGraph Named “2024 Best Knowledge Graph” by KMWorld Readers’ Choice
12 November 2024

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

Gartner recognized Franz Inc. as a Key Neuro-Symbolic AI Provider in 2024 Hype Cycle for AI
10 September 2024

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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
AllegroGraphApache PinotGraphDB infoformer name: OWLIM
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