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DBMS > Apache IoTDB vs. Kinetica vs. SpaceTime

System Properties Comparison Apache IoTDB vs. Kinetica vs. SpaceTime

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonKinetica  Xexclude from comparisonSpaceTime  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 CPUsSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelTime Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#253  Overall
#20  Time Series DBMS
Score0.66
Rank#212  Overall
#103  Relational DBMS
Score0.00
Rank#354  Overall
#5  Spatial DBMS
Websiteiotdb.apache.orgwww.kinetica.comwww.mireo.hr/­spacetime
Technical documentationwww.kinetica.com/­docs
DeveloperApache Software FoundationKineticaMireo
Initial release201820122020
Current release7.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlyesAccess rights for users and roles on table levelyes
More information provided by the system vendor
Apache IoTDBKineticaSpaceTime
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
Apache IoTDBKineticaSpaceTime
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