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DBMS > Apache Pinot vs. Kinetica vs. SiteWhere vs. WakandaDB

System Properties Comparison Apache Pinot vs. Kinetica vs. SiteWhere vs. WakandaDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonKinetica  Xexclude from comparisonSiteWhere  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFully vectorized database across both GPUs and CPUsM2M integration platform for persisting/querying time series dataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSTime Series DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitepinot.apache.orgwww.kinetica.comgithub.com/­sitewhere/­sitewherewakanda.github.io
Technical documentationdocs.pinot.apache.orgdocs.kinetica.comsitewhere1.sitewhere.io/­index.htmlwakanda.github.io/­doc
DeveloperApache Software Foundation and contributorsKineticaSiteWhereWakanda SAS
Initial release2015201220102012
Current release1.0.0, September 20237.1, August 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaC++, JavaScript
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnono
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
HTTP RESTRESTful HTTP API
Supported programming languagesGo
Java
Python
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization conceptyes

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More resources
Apache PinotKineticaSiteWhereWakandaDB
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