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DBMS > Kinetica vs. Snowflake

System Properties Comparison Kinetica vs. Snowflake

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Our visitors often compare Kinetica and Snowflake with OmniSci, MongoDB and SQream DB.

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#190  Overall
#95  Relational DBMS
Score30.05
Rank#27  Overall
#16  Relational DBMS
Websitewww.kinetica.comwww.snowflake.com
Technical documentationwww.kinetica.com/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperKineticaSnowflake Computing Inc.
Initial release20122014
Current release6.0
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++
Server operating systemsLinuxhosted
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.noyes
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions
Triggersyes 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 nodesShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
KineticaSnowflake
Recent citations in the news

GPU Database Market Growth Forecast Analysis 2020-2026 | Best Companies – Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc – Brockville Observer
12 May 2021, Brockville Observer

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8 May 2021, KSU | The Sentinel Newspaper

GPU Database Market Trends, Top Key Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox , Growth & Forecast Till 2025| Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedo
11 May 2021, Clark County Blog

GPU Database Market Trends to Look Out For in 2021 – Kinetica, OmniSci, SQream, Neo4j – Clark County Blog
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