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DBMS > Apache Druid vs. GraphDB vs. Quasardb vs. TigerGraph

System Properties Comparison Apache Druid vs. GraphDB vs. Quasardb vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonQuasardb  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-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.Distributed, high-performance timeseries databaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Time Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score2.91
Rank#106  Overall
#8  Graph DBMS
#4  RDF stores
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Score1.92
Rank#143  Overall
#13  Graph DBMS
Websitedruid.apache.orgwww.ontotext.comquasar.aiwww.tigergraph.com
Technical documentationdruid.apache.org/­docs/­latest/­designgraphdb.ontotext.com/­documentationdoc.quasar.ai/­masterdocs.tigergraph.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software Foundation and contributorsOntotextquasardb
Initial release2012200020092017
Current release29.0.0, February 202410.4, October 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemsLinux
OS X
Unix
All OS with a Java VM
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-free and OWL/RDFS-schema support; RDF shapesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 infowith tags
SQL infoSupport of SQLSQL for queryingstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query languageSQL-like query language (GSQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilitynoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemDefault 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.Cryptographically strong user authentication and audit trailRole-based access control
More information provided by the system vendor
Apache DruidGraphDB infoformer name: OWLIMQuasardbTigerGraph
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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