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DBMS > Apache Druid vs. Microsoft Azure Table Storage vs. Quasardb vs. Riak TS

System Properties Comparison Apache Druid vs. Microsoft Azure Table Storage vs. Quasardb vs. Riak TS

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak TS  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 datasetsDistributed, high-performance timeseries databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeTime Series DBMSTime Series 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
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitedruid.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation and contributorsMicrosoftquasardbOpen Source, formerly Basho Technologies
Initial release2012201220092015
Current release29.0.1, April 20243.14.1, January 20243.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Erlang
Server operating systemsLinux
OS X
Unix
hostedBSD
Linux
OS X
Windows
Linux
OS X
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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 indexesyesnoyes infowith tagsrestricted
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageyes, limited
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIHTTP APIHTTP API
Native Erlang Interface
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnononoErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingSharding
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.Source-replica replication with selectable replication factorselectable 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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDno
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.nonoyes infoTransient mode
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 signaturesCryptographically strong user authentication and audit trailno

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More resources
Apache DruidMicrosoft Azure Table StorageQuasardbRiak TS
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