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DBMS > Kinetica vs. Snowflake vs. Spark SQL

System Properties Comparison Kinetica vs. Snowflake vs. Spark SQL

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSnowflake  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsCloud-based data warehousing service for structured and semi-structured dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#205  Overall
#101  Relational DBMS
Score52.07
Rank#21  Overall
#14  Relational DBMS
Score21.87
Rank#34  Overall
#20  Relational DBMS
Websitewww.kinetica.comwww.snowflake.comspark.apache.org/­sql
Technical documentationwww.kinetica.com/­docsdocs.snowflake.net/­manuals/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperKineticaSnowflake Computing Inc.Apache Software Foundation
Initial release201220142014
Current release7.1, August 20213.1.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Scala
Server operating systemsLinuxhostedLinux
OS X
Windows
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
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.noyesno
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
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 integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
KineticaSnowflakeSpark SQL
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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More resources
KineticaSnowflakeSpark SQL
Recent citations in the news

Newswire & Press Release / Curtiss-Wright Adds Kinetica Software Support to the PacStar® 453 GPU Module for Intelligent Sensor Data Analytics - Electronics / Instrumentation / RFID - Curtiss-Wright Corporation | NewswireToday
22 September 2021, Newswire Today

United States GPU Database Market Size, Growth And Analysis By Leading Keyplayers – Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox – Stillwater Current
20 September 2021, Stillwater Current

Preventing the Next 9/11 Goal of NORAD's New Streaming Data Warehouse
30 August 2021, Datanami

Kinetica Fuses Streaming and Contextual Analysis At Scale
14 September 2021, The Bakersfield Californian

Kinetica Fuses Streaming and Contextual Analysis
14 September 2021, insideHPC

provided by Google News

Citi Sharing Post-Trade Data With Snowflake to Ease Settlement
22 September 2021, Bloomberg

Snowflake launches Financial Services Data Cloud, touts big customer wins
14 September 2021, ZDNet

Snowflake and Citi Securities Services Re-Imagine Data Flows Across Financial Services Transactions
22 September 2021, Valdosta Daily Times

Snowflake doubters voice reservations over data warehouse's attempt to break into financial services
17 September 2021, The Register

Skai Announces Partnership with Snowflake, Expanding Access to Unique Commerce-Intelligence Datasets
22 September 2021, PRNewswire

provided by Google News

Online workshop: Data Science with Python and Spark
21 September 2021, Market Research Telecast

Databricks raises $1.6B more to boost data lakehouse
31 August 2021, TechTarget

CMFG Life Insurance Company, d | Computer& Software Jobs | madison.com
19 September 2021, Madison.com

Beginner's Guide To Machine Learning With Apache Spark
16 July 2021, Analytics India Magazine

Hadoop vs. Spark: Comparing the two big data frameworks
7 May 2021, TechTarget

provided by Google News

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