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DBMS > Apache Druid vs. IBM Cloudant vs. Microsoft Azure Table Storage vs. SiteWhere

System Properties Comparison Apache Druid vs. IBM Cloudant vs. Microsoft Azure Table Storage vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDatabase as a Service offering based on Apache CouchDBA Wide Column Store for rapid development using massive semi-structured datasetsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMS
Time Series DBMS
Document storeWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitedruid.apache.orgwww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­sitewhere/­sitewhere
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.ibm.com/­docs/­Cloudantsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation and contributorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftSiteWhere
Initial release2012201020122010
Current release29.0.1, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangJava
Server operating systemsLinux
OS X
Unix
hostedhostedLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyesnono
SQL infoSupport of SQLSQL for queryingnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIRESTful HTTP APIHTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.nononono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databaseAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept

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More resources
Apache DruidIBM CloudantMicrosoft Azure Table StorageSiteWhere
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