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DBMS > EventStoreDB vs. JanusGraph vs. Stardog vs. Tkrzw

System Properties Comparison EventStoreDB vs. JanusGraph vs. Stardog vs. Tkrzw

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelEvent StoreGraph DBMSGraph DBMS
RDF store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.eventstore.comjanusgraph.orgwww.stardog.comdbmx.net/­tkrzw
Technical documentationdevelopers.eventstore.comdocs.janusgraph.orgdocs.stardog.com
DeveloperEvent Store LimitedLinux Foundation; originally developed as Titan by AureliusStardog-UnionMikio Hirabayashi
Initial release2012201720102020
Current release21.2, February 20210.6.3, February 20237.3.0, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Windows
Linux
macOS
Data schemeyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nono infoImport/export of XML data possibleno
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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 languagesClojure
Java
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAccess rights for users and rolesno

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More resources
EventStoreDBJanusGraph infosuccessor of TitanStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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