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DBMS > Apache Druid vs. RethinkDB vs. Riak TS vs. TerarkDB

System Properties Comparison Apache Druid vs. RethinkDB vs. Riak TS vs. TerarkDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonRethinkDB  Xexclude from comparisonRiak TS  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDBMS for the Web with a mechanism to push updated query results to applications in realtime.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMS
Time Series DBMS
Document storeTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score2.58
Rank#105  Overall
#20  Document stores
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitedruid.apache.orgrethinkdb.comgithub.com/­bytedance/­terarkdb
Technical documentationdruid.apache.org/­docs/­latest/­designrethinkdb.com/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation and contributorsThe Linux Foundation infosince July 2017Open Source, formerly Basho TechnologiesByteDance, originally Terark
Initial release2012200920152016
Current release30.0.0, June 20242.4.1, August 20203.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2Open Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ErlangC++
Server operating systemsLinux
OS X
Unix
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 dateyesyes infostring, binary, float, bool, date, geometrynono
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 indexesyesyesrestrictedno
SQL infoSupport of SQLSQL for queryingnoyes, limitedno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP API
Native Erlang Interface
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
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
C++
Java
Server-side scripts infoStored proceduresnoErlangno
TriggersnoClient-side triggers through changefeedsyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding inforange basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyesyes
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.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes infousers and table-level permissionsnono

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More resources
Apache DruidRethinkDBRiak TSTerarkDB
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