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DBMS > Apache IoTDB vs. Kinetica vs. Oracle NoSQL vs. Riak TS

System Properties Comparison Apache IoTDB vs. Kinetica vs. Oracle NoSQL vs. Riak TS

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonKinetica  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkFully vectorized database across both GPUs and CPUsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelTime Series DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#183  Overall
#15  Time Series DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score3.26
Rank#101  Overall
#18  Document stores
#17  Key-value stores
#52  Relational DBMS
Score0.28
Rank#308  Overall
#27  Time Series DBMS
Websiteiotdb.apache.orgwww.kinetica.comwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.kinetica.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software FoundationKineticaOracleOpen Source, formerly Basho Technologies
Initial release2018201220112015
Current release1.1.0, April 20237.1, August 202123.3, December 20233.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaErlang
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
Solaris SPARC/x86
Linux
OS X
Data schemeyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesyesoptionalno
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 indexesyesyesyesrestricted
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes, limited
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
Go
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 proceduresyesuser defined functionsnoErlang
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infodepending on configuration
Eventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoconfigurable infoACID within a storage node (=shard)no
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.yesyes infoGPU vRAM or System RAMyes infooff heap cache
User concepts infoAccess controlyesAccess rights for users and roles on table levelAccess rights for users and rolesno

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Apache IoTDBKineticaOracle NoSQLRiak TS
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