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DBMS > Riak TS vs. SiriDB vs. Spark SQL vs. STSdb

System Properties Comparison Riak TS vs. SiriDB vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
NameRiak TS  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#308  Overall
#26  Time Series DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Websitesiridb.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOpen Source, formerly Basho TechnologiesCesbitApache Software FoundationSTS Soft SC
Initial release2015201720142011
Current release3.0.0, September 20223.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangCScalaC#
Server operating systemsLinux
OS X
LinuxLinux
OS X
Windows
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyes infoNumeric datayesyes infoprimitive types and user defined types (classes)
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 indexesrestrictedyesnono
SQL infoSupport of SQLyes, limitednoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP API
Native Erlang Interface
HTTP APIJDBC
ODBC
.NET Client API
Supported programming languagesC 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
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresErlangnonono
Triggersyes infopre-commit hooks and post-commit hooksnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno infolinks between datasets can be storednonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlnosimple rights management via user accountsnono

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More resources
Riak TSSiriDBSpark SQLSTSdb
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