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DBMS > Altibase vs. GraphDB vs. HugeGraph vs. Qdrant

System Properties Comparison Altibase vs. GraphDB vs. HugeGraph vs. Qdrant

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonHugeGraph  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSEnterprise-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 fast-speed and highly-scalable Graph DBMSA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitealtibase.comwww.ontotext.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­qdrant/­qdrant
qdrant.tech
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgraphdb.ontotext.com/­documentationhugegraph.apache.org/­docsqdrant.tech/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperAltibaseOntotextBaiduQdrant
Initial release1999200020182021
Current releasev7.3, 2023, August 202310.4, October 20230.9
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaRust
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Unix
Docker
Linux
macOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Boolean
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.nononono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infoalso supports composite index and range indexyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLANSI SQL-92stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
RESTful HTTP API
TinkerPop Gremlin
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C++
Java
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Groovy
Java
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresstored procedures and stored functionswell-defined plugin interfaces; JavaScript server-side extensibilityasynchronous Gremlin script jobs
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesyes infoConstraint checkingyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardDefault 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.Users, roles and permissionsKey-based authentication
More information provided by the system vendor
AltibaseGraphDB infoformer name: OWLIMHugeGraphQdrant
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
AltibaseGraphDB infoformer name: OWLIMHugeGraphQdrant
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