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DBMS > Apache Impala vs. Apache IoTDB vs. IBM Cloudant vs. Kinetica vs. STSdb

System Properties Comparison Apache Impala vs. Apache IoTDB vs. IBM Cloudant vs. Kinetica vs. STSdb

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache IoTDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteimpala.apache.orgiotdb.apache.orgwww.ibm.com/­products/­cloudantwww.kinetica.comgithub.com/­STSSoft/­STSdb4
Technical documentationimpala.apache.org/­impala-docs.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcloud.ibm.com/­docs/­Cloudantdocs.kinetica.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014KineticaSTS Soft SC
Initial release20132018201020122011
Current release4.1.0, June 20221.1.0, April 20237.1, August 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaErlangC, C++C#
Server operating systemsLinuxAll OS with a Java VM (>= 1.8)hostedLinuxWindows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes infoprimitive types and user defined types (classes)
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 indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
JDBC
Native API
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
.NET Client API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesView functions (Map-Reduce) in JavaScriptuser defined functionsno
Triggersnoyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceIntegration with Hadoop and Sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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.noyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesAccess rights for users can be defined per databaseAccess rights for users and roles on table levelno

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More resources
Apache ImpalaApache IoTDBIBM CloudantKineticaSTSdb
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