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DBMS > DataFS vs. InfluxDB vs. Rockset vs. TerarkDB vs. Tkrzw

System Properties Comparison DataFS vs. InfluxDB vs. Rockset vs. TerarkDB vs. Tkrzw

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonInfluxDB  Xexclude from comparisonRockset  Xexclude from comparisonTerarkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.DBMS for storing time series, events and metricsA scalable, reliable search and analytics service in the cloud, built on RocksDBA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelObject oriented DBMSTime Series DBMSDocument storeKey-value storeKey-value store
Secondary database modelsGraph DBMSSpatial DBMS infowith GEO packageRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitenewdatabase.comwww.influxdata.com/­products/­influxdb-overviewrockset.comgithub.com/­bytedance/­terarkdbdbmx.net/­tkrzw
Technical documentationdev.mobiland.com/­Overview.xspdocs.influxdata.com/­influxdbdocs.rockset.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperMobiland AGRocksetByteDance, originally TerarkMikio Hirabayashi
Initial release20182013201920162020
Current release1.1.263, October 20222.7.6, April 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++C++
Server operating systemsWindowsLinux
OS X infothrough Homebrew
hostedLinux
macOS
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsdynamic typingnono
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 infoingestion from XML files supportednono
Secondary indexesnonoall fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query languageRead-only SQL queries, including JOINsnono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HTTP API
JSON over UDP
HTTP RESTC++ API
Java API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersno, except callback-events from server when changes happenednononono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding infoin enterprise version onlyAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engineyesyes infousing specific database classes
User concepts infoAccess controlWindows-Profilesimple rights management via user accountsAccess rights for users and organizations can be defined via Rockset consolenono
More information provided by the system vendor
DataFSInfluxDBRocksetTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DataFSInfluxDBRocksetTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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