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DBMS > IRONdb vs. Riak TS vs. Sphinx vs. TDengine

System Properties Comparison IRONdb vs. Riak TS vs. Sphinx vs. TDengine

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelTime Series DBMSTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/sphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docsdocs.tdengine.com
DeveloperCirconus LLC.Open Source, formerly Basho TechnologiesSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release2017201520012019
Current releaseV0.10.20, January 20183.0.0, September 20223.5.1, February 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++ErlangC++C
Server operating systemsLinuxLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnonoyes
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 indexesnorestrictedyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes, limitedSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsHTTP APIHTTP API
Native Erlang Interface
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
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++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes, in LuaErlangnono
Triggersnoyes infopre-commit hooks and post-commit hooksnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynono infolinks between datasets can be storednono
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 persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnononoyes
More information provided by the system vendor
IRONdbRiak TSSphinxTDengine
Specific characteristicsTDengine™ 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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IRONdbRiak TSSphinxTDengine
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