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DBMS > Apache IoTDB vs. Kinetica vs. Percona Server for MongoDB vs. SpaceTime vs. Teradata Aster

System Properties Comparison Apache IoTDB vs. Kinetica vs. Percona Server for MongoDB vs. SpaceTime vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonKinetica  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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 drop-in replacement for MongoDB Community Edition with enterprise-grade features.SpaceTime is a spatio-temporal DBMS with a focus on performance.Platform for big data analytics on multistructured data sources and types
Primary database modelTime Series DBMSRelational DBMSDocument storeSpatial DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteiotdb.apache.orgwww.kinetica.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.mireo.com/­spacetime
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.kinetica.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software FoundationKineticaPerconaMireoTeradata
Initial release20182012201520202005
Current release1.1.0, April 20237.1, August 20213.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinuxLinuxLinux
Data schemeyesyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes infoin Aster File Store
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnoA subset of ANSI SQL is implementedyes
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C#
C++
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesuser defined functionsJavaScriptnoR packages
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingFixed-grid hypercubesSharding
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 replicationSource-replica replicationReal-time block device replication (DRBD)yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnoyes infoSQL Map-Reduce Framework
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
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
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.yesyes infoGPU vRAM or System RAMyes infovia In-Memory Enginenono
User concepts infoAccess controlyesAccess rights for users and roles on table levelAccess rights for users and rolesyesfine grained access rights according to SQL-standard

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More resources
Apache IoTDBKineticaPercona Server for MongoDBSpaceTimeTeradata Aster
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