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DBMS > Apache Druid vs. Kinetica vs. Snowflake

System Properties Comparison Apache Druid vs. Kinetica vs. Snowflake

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonKinetica  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGPU-accelerated database for real-time analysis of large and streaming datasetsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#103  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score0.74
Rank#195  Overall
#97  Relational DBMS
Score23.19
Rank#30  Overall
#17  Relational DBMS
Websitedruid.apache.orgwww.kinetica.comwww.snowflake.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.kinetica.com/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation and contributorsKineticaSnowflake Computing Inc.
Initial release201220122014
Current release0.20.1, January 20216.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++
Server operating systemsLinux
OS X
Unix
Linuxhosted
Data schemeyes infoschema-less columns are supportedyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes
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.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authentication

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Apache DruidKineticaSnowflake
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