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DBMS > Google BigQuery vs. Kinetica

System Properties Comparison Google BigQuery vs. Kinetica

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Our visitors often compare Google BigQuery and Kinetica with Vertica, SAP HANA and MongoDB.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.07
Rank#29  Overall
#17  Relational DBMS
Score0.57
Rank#190  Overall
#94  Relational DBMS
Websitecloud.google.com/­bigquerywww.kinetica.com
Technical documentationcloud.google.com/­bigquery/­docswww.kinetica.com/­docs
DeveloperGoogleKinetica
Initial release20102012
Current release6.0
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++
Server operating systemshostedLinux
Data schemeyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano
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.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights for users and roles on table level

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More resources
Google BigQueryKinetica
DB-Engines blog posts

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Recent citations in the news

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

Google Cloud Platform breaks through with big enterprises, signs up Disney and others
23 March 2016, ZDNet

Google BigQuery Analytics
3 January 2015, iProgrammer

provided by Google News

Review: Kinetica analyzes billions of rows in real time
29 April 2019, InfoWorld

GPU Database Market Research 2019: Global Size, Growth, Trends, Outlook and Future Scope Analysis
23 May 2019, Gadget247News

Kronva Ltd Signs Strategic Partnership Agreement with Kinetica
2 May 2019, Pro News Report

New Trending Report on GPU Database Market with high CAGR In Coming Years with Focusing Key players like Kinetica,Omnisci,Sqream,Neo4j,Nvidia,Brytlyt,Jedox,Blazegraph,Blazingdb,Zilliz,Heterodb,H2o.Ai,Fastdata.Io,Fuzzy Logix,Graphistry,Anaconda, ,etc
30 April 2019, Market Research Updates

GPU Database Market by Type, Applications, Deployment, Trends & Demands – Global Forecast to 2023
13 May 2019, Market Industry Reports

provided by Google News

Job opportunities

Sr. Solutions Engineer (West Coast)
Kinetica DB, Seattle, WA

jobs by Indeed




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