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DBMS > Apache Druid vs. OrientDB vs. Stardog vs. Valentina Server

System Properties Comparison Apache Druid vs. OrientDB vs. Stardog vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonOrientDB  Xexclude from comparisonStardog  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMulti-model DBMS (Document, Graph, Key/Value)Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationObject-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Graph 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
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitedruid.apache.orgorientdb.orgwww.stardog.comwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designwww.orientdb.com/­docs/­last/­index.htmldocs.stardog.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsOrientDB LTD; CallidusCloud; SAPStardog-UnionParadigma Software
Initial release2012201020101999
Current release29.0.1, April 20243.2.29, March 20247.3.0, May 20205.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Unix
All OS with a Java JDK (>= JDK 6)Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL for queryingSQL-like query language, no joinsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoJava, Javascriptuser defined functions and aggregates, HTTP Server extensions in Javayes
TriggersnoHooksyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationship in graphsyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and roles; record level security configurableAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Apache DruidOrientDBStardogValentina Server
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