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DBMS > Amazon Redshift vs. Hive vs. Kinetica vs. Snowflake

System Properties Comparison Amazon Redshift vs. Hive vs. Kinetica vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonHive  Xexclude from comparisonKinetica  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsdata warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.86
Rank#32  Overall
#18  Relational DBMS
Score83.31
Rank#14  Overall
#9  Relational DBMS
Score0.73
Rank#204  Overall
#99  Relational DBMS
Score64.19
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­redshifthive.apache.orgwww.kinetica.comwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­redshiftcwiki.apache.org/­confluence/­display/­Hive/­Homewww.kinetica.com/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoinitially developed by FacebookKineticaSnowflake Computing Inc.
Initial release2012201220122014
Current release3.1.2, August 20197.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC, C++
Server operating systemshostedAll OS with a Java VMLinuxhosted
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nonoyes
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reduceuser defined functionsuser defined functions
Triggersnonoyes 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 nodesShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights for users and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Amazon RedshiftHiveKineticaSnowflake
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon RedshiftHiveKineticaSnowflake
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