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DBMS > Apache IoTDB vs. ClickHouse vs. CrateDB vs. Kinetica vs. Riak TS

System Properties Comparison Apache IoTDB vs. ClickHouse vs. CrateDB vs. Kinetica vs. Riak TS

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonClickHouse  Xexclude from comparisonCrateDB  Xexclude from comparisonKinetica  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkColumn-oriented Relational DBMS powering YandexDistributed Date Store based on LuceneFully vectorized database across both GPUs and CPUsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Search engine
Relational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#251  Overall
#20  Time Series DBMS
Score12.42
Rank#44  Overall
#28  Relational DBMS
Score0.97
Rank#179  Overall
#87  Relational DBMS
#12  Search engines
Score0.74
Rank#202  Overall
#97  Relational DBMS
Score0.25
Rank#277  Overall
#23  Time Series DBMS
Websiteiotdb.apache.orgclickhouse.techcrate.iowww.kinetica.comriak.com/­products/­riak-ts
Technical documentationclickhouse.tech/­docscrate.io/­docswww.kinetica.com/­docs
DeveloperApache Software FoundationYandex LLCCrateKineticaBasho Technologies
Initial release20182016201320122015
Current releasev22.1.2.2-stable, January 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC, C++Erlang
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
macOS
All OS with a Java 7 (and higher) VMLinuxLinux
OS X
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonononono
Secondary indexesyesnoyesyesrestricted
SQL infoSupport of SQLSQL-like query languageClose to ANSI SQLyes, but no triggers and constraintsSQL-like DML and DDL statementsno
APIs and other access methodsJDBCHTTP REST
JDBC
ODBC
Proprietary protocol
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C++
Java
JavaScript (Node.js)
Python
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
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functionsJavaScript and Erlang
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudImmediate ConsistencyEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynononoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infounique row identifiers can be used for implementing an optimistic concurrency control strategynono
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.yesyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users and rolesrights management via user accountsAccess rights for users and roles on table levelno
More information provided by the system vendor
Apache IoTDBClickHouseCrateDBKineticaRiak TS
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Native and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Best in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Any application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
The largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» 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
Apache IoTDBClickHouseCrateDBKineticaRiak TS
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