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DBMS > Riak KV vs. Spark SQL vs. TDengine vs. TempoIQ

System Properties Comparison Riak KV vs. Spark SQL vs. TDengine vs. TempoIQ

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Editorial information provided by DB-Engines
NameRiak KV  Xexclude from comparisonSpark SQL  Xexclude from comparisonTDengine  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionDistributed, fault tolerant key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS and big data platformScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.10
Rank#82  Overall
#9  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitespark.apache.org/­sqlgithub.com/­taosdata/­TDengine
tdengine.com
tempoiq.com (offline)
Technical documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tdengine.com
DeveloperOpenSource, formerly Basho TechnologiesApache Software FoundationTDEngine, previously Taos DataTempoIQ
Initial release2009201420192012
Current release3.2.0, December 20223.5.0 ( 2.13), September 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangScalaC
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesrestrictednono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsno
APIs and other access methodsHTTP API
Native Erlang Interface
JDBC
ODBC
JDBC
RESTful HTTP API
HTTP 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
Java
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresErlangnonono
Triggersyes infopre-commit hooks and post-commit hooksnoyes, via alarm monitoringyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"yes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno infolinks between data sets can be storednonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.nono
User concepts infoAccess controlyes, using Riak Securitynoyessimple authentication-based access control
More information provided by the system vendor
Riak KVSpark SQLTDengineTempoIQ infoformerly TempoDB
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Riak KVSpark SQLTDengineTempoIQ infoformerly TempoDB
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