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DBMS > Apache IoTDB vs. CrateDB vs. Kinetica vs. Riak TS vs. TDSQL for MySQL

System Properties Comparison Apache IoTDB vs. CrateDB vs. Kinetica vs. Riak TS vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCrateDB  Xexclude from comparisonKinetica  Xexclude from comparisonRiak TS  Xexclude from comparisonTDSQL for MySQL  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 SparkDistributed 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 KVA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSRelational DBMS
Search engine
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#251  Overall
#20  Time Series 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
Score0.54
Rank#236  Overall
#113  Relational DBMS
Websiteiotdb.apache.orgcrate.iowww.kinetica.comriak.com/­products/­riak-tsintl.cloud.tencent.com/­product/­dcdb
Technical documentationcrate.io/­docswww.kinetica.com/­docsintl.cloud.tencent.com/­product/­dcdb#m_developer
DeveloperApache Software FoundationCrateKineticaBasho TechnologiesTencent
Initial release20182013201220152013
Current release7.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourcecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC, C++Erlang
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java 7 (and higher) VMLinuxLinux
OS X
hosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesrestrictedyes
SQL infoSupport of SQLSQL-like query languageyes, but no triggers and constraintsSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBCADO.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
JDBC
ODBC
Supported programming languagesErlang
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
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsJavaScript and Erlangyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategynonoACID
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.yesnoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnorights management via user accountsAccess rights for users and roles on table levelnoUsers with fine-grained authorization concept
More information provided by the system vendor
Apache IoTDBCrateDBKineticaRiak TSTDSQL for MySQL
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 IoTDBCrateDBKineticaRiak TSTDSQL for MySQL
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