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DBMS > Apache Druid vs. Microsoft Azure Table Storage vs. Oracle Coherence vs. RDF4J

System Properties Comparison Apache Druid vs. Microsoft Azure Table Storage vs. Oracle Coherence vs. RDF4J

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA Wide Column Store for rapid development using massive semi-structured datasetsOracles in-memory data grid solutionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeKey-value storeRDF store
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
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitedruid.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­java/­coherencerdf4j.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.oracle.com/­en/­middleware/­standalone/­coherencerdf4j.org/­documentation
DeveloperApache Software Foundation and contributorsMicrosoftOracleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201220072004
Current release29.0.1, April 202414.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Unix
hostedAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes infoRDF Schemas
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
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL for queryingnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJCache
JPA
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Java
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnonoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingconfigurableACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights based on private key authentication or shared access signaturesauthentification to access the cache via certificates or http basic authenticationno

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More resources
Apache DruidMicrosoft Azure Table StorageOracle CoherenceRDF4J infoformerly known as Sesame
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