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DBMS > Apache Druid vs. EventStoreDB vs. GraphDB vs. Interbase

System Properties Comparison Apache Druid vs. EventStoreDB vs. GraphDB vs. Interbase

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIndustrial-strength, open-source database solution built from the ground up for event sourcing.Enterprise-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.Light-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMS
Time Series DBMS
Event StoreGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Websitedruid.apache.orgwww.eventstore.comwww.ontotext.comwww.embarcadero.com/­products/­interbase
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.eventstore.comgraphdb.ontotext.com/­documentationdocs.embarcadero.com/­products/­interbase
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software Foundation and contributorsEvent Store LimitedOntotextEmbarcadero
Initial release2012201220001984
Current release29.0.1, April 202421.2, February 202110.4, October 2023InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial
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
OS X
Unix
Linux
Windows
All OS with a Java VM
Linux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateyesyesyes
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 infoexport as XML data possible
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLSQL for queryingstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyes
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
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityyes infoInterbase procedure and trigger language
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationInterbase Change Views
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)Immediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny control
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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.fine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidEventStoreDBGraphDB infoformer name: OWLIMInterbase
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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