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DBMS > Amazon Redshift vs. Kinetica vs. Microsoft Azure AI Search vs. Snowflake

System Properties Comparison Amazon Redshift vs. Kinetica vs. Microsoft Azure AI Search vs. Snowflake

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score123.20
Rank#9  Overall
#6  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.kinetica.comazure.microsoft.com/­en-us/­services/­searchwww.snowflake.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchdocs.snowflake.net/­manuals/­index.html
DeveloperAmazon (based on PostgreSQL)KineticaMicrosoftSnowflake Computing Inc.
Initial release2012201220152014
Current release7.1, August 2021V1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++
Server operating systemshostedLinuxhostedhosted
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.nononoyes
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APICLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnoyes
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 RAMnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes infousing Azure authenticationUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Amazon RedshiftKineticaMicrosoft Azure AI SearchSnowflake
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Recent citations in the news

Power analytics as a service capabilities using Amazon Redshift | Amazon Web Services
17 April 2024, AWS Blog

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29 November 2023, AWS Blog

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26 March 2024, Datanami

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

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18 March 2024, GlobeNewswire

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30 October 2023, InfoWorld

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Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, azure.microsoft.com

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard) | Azure updates
2 April 2024, azure.microsoft.com

Microsoft’s Azure AI Search updated with increased storage, vector index size
5 April 2024, InfoWorld

Microsoft Azure AI Search just got a massive storage increase - here's what you need to know
8 April 2024, ITPro

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5 April 2024, VentureBeat

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Snowflake Data Clean Rooms Democratize Secure Data Sharing Across Clouds
24 April 2024, Acceleration Economy

Porch Group Media Launches Consumer Insight Data on Snowflake Marketplace
24 April 2024, CMSWire

Snowflake targets enterprise AI with launch of Arctic LLM
24 April 2024, TechTarget

Snowflake releases a flagship generative AI model of its own
24 April 2024, TechCrunch

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