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DBMS > AllegroGraph vs. Databricks vs. GraphDB vs. Hypertable vs. Stardog

System Properties Comparison AllegroGraph vs. Databricks vs. GraphDB vs. Hypertable vs. Stardog

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatabricks  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHypertable  Xexclude from comparisonStardog  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.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.An open source BigTable implementation based on distributed file systems such as HadoopEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Relational DBMS
Graph DBMS
RDF store
Wide column storeGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteallegrograph.comwww.databricks.comwww.ontotext.comwww.stardog.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.databricks.comgraphdb.ontotext.com/­documentationdocs.stardog.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperFranz Inc.DatabricksOntotextHypertable Inc.Stardog-Union
Initial release20042013200020092010
Current release8.0, December 202310.4, October 20230.9.8.11, March 20167.3.0, May 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGNU version 3. Commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
Data schemeyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support; RDF shapesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesnoyes
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 possibleyesnono infoImport/export of XML data possible
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesrestricted infoonly exact value or prefix value scansyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSPARQL is used as query languagewith Databricks SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
C++ API
Thrift
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Python
R
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregateswell-defined plugin interfaces; JavaScript server-side extensibilitynouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnonoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replicationselectable replication factor on file system levelMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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.noAccess rights for users and roles
More information provided by the system vendor
AllegroGraphDatabricksGraphDB infoformer name: OWLIMHypertableStardog
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Supported database models : In addition to the Document store and Relational DBMS...
» more
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
GraphDB 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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