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DBMS > JanusGraph vs. Prometheus vs. Stardog vs. YDB

System Properties Comparison JanusGraph vs. Prometheus vs. Stardog vs. YDB

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonPrometheus  Xexclude from comparisonStardog  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open-source Time Series DBMS and monitoring systemEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMSTime Series DBMSGraph DBMS
RDF store
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitejanusgraph.orgprometheus.iowww.stardog.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.janusgraph.orgprometheus.io/­docsdocs.stardog.comydb.tech/­en/­docs
DeveloperLinux Foundation; originally developed as Titan by AureliusStardog-UnionYandex
Initial release2017201520102019
Current release0.6.3, February 20237.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava
Server operating systemsLinux
OS X
Unix
Windows
Linux
Windows
Linux
macOS
Windows
Linux
Data schemeyesyesschema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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 of XML data possibleno infoImport/export of XML data possibleno
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language (YQL)
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP/JSON APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesClojure
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby FederationMulti-source replication in HA-ClusterActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
noneImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUser authentification and security via Rexster Graph ServernoAccess rights for users and rolesAccess rights defined for Yandex Cloud users

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More resources
JanusGraph infosuccessor of TitanPrometheusStardogYDB
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