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DBMS > Druid vs. Kinetica

System Properties Comparison Druid vs. Kinetica

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#111  Overall
#55  Relational DBMS
#7  Time Series DBMS
Score0.54
Rank#194  Overall
#96  Relational DBMS
Websitedruid.iowww.kinetica.com
Technical documentationdruid.io/­docs/­latest/­design/­index.htmlwww.kinetica.com/­docs
DeveloperMetamarkets Group and contributorsKinetica
Initial release20122012
Current release6.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++
Server operating systemsLinux
OS X
Unix
Linux
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterSQL-like DML and DDL statements
APIs and other access methodsJSON over HTTPRESTful HTTP API
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlno infoavailable via extensionsAccess rights for users and roles on table level

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More resources
DruidKinetica
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Imply launches with $2M to commercialize the Druid open-source data store
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