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DBMS > AgensGraph vs. GraphDB vs. KeyDB

System Properties Comparison AgensGraph vs. GraphDB vs. KeyDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLEnterprise-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 ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#316  Overall
#28  Graph DBMS
#139  Relational DBMS
Score2.68
Rank#94  Overall
#7  Graph DBMS
#3  RDF stores
Score0.70
Rank#218  Overall
#32  Key-value stores
Websitebitnine.net/­agensgraphwww.ontotext.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationbitnine.net/­documentationgraphdb.ontotext.com/­documentationdocs.keydb.dev
Social network pagesLinkedInGitHubTwitterMediumYouTube
DeveloperBitnine Global Inc.OntotextEQ Alpha Technology Ltd.
Initial release201620002019
Current release2.1, December 201810.4, October 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemedepending on used data modelschema-free and OWL/RDFS-schema support; RDF shapesschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyes infoby using the Redis Search module
SQL infoSupport of SQLyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsCypher Query Language
JDBC
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC
Java
JavaScript
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibilityLua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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.simple password-based access control and ACL
More information provided by the system vendor
AgensGraphGraphDB infoformer name: OWLIMKeyDB
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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More resources
AgensGraphGraphDB infoformer name: OWLIMKeyDB
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