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DBMS > Google BigQuery vs. Kinetica vs. OmniSci

System Properties Comparison Google BigQuery vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.69
Rank#31  Overall
#19  Relational DBMS
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websitecloud.google.com/­bigquerywww.kinetica.comwww.omnisci.com
Technical documentationcloud.google.com/­bigquery/­docswww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperGoogleKineticaMapD Technologies, Inc.
Initial release201020122016
Current release6.0V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++ and CUDA
Server operating systemshostedLinuxLinux
Data schemeyesyesyes
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanono
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.noyes infoGPU vRAM or System RAMyes
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 levelfine grained access rights according to SQL-standard

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More resources
Google BigQueryKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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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

GPU Database Market is Growing Gloriously at a CAGR of +20% over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
23 April 2019, Global Market Research

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
22 April 2019, Market Reports

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Field Report: GPU Technology Conference 2019 #GTC19
4 April 2019, insideBIGDATA

Hilton Capital Management Has Lowered Its Nvidia (NVDA) Stake; Echo Global Logistics (ECHO) Shorts Lowered By 3.92%
22 April 2019, The NBO News

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
22 April 2019, Market Reports

New Data Science Platforms Highlight Nvidia's GPU Conference
25 March 2019, eWeek

1 week ago GPU Database Market 2016 Global Trend, Segmentation and Opportunities, Forecast 2024
14 April 2019, Market Research News

OmniSci, formerly MapD, gets $55 million in series C funding
4 October 2018, Packt Hub

provided by Google News

Job opportunities

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

Support Engineer - (NYC or Washington DC)
OmniSci, Remote

Support Engineer (San Francisco/Bay Area)
OmniSci, San Jose, CA

Support Engineer (San Francisco/Bay Area)
OmniSci, San Francisco, CA

Community Developer Advocate - INTERN
OmniSci, San Francisco, CA

Engineering Manager - Backend Core Team
OmniSci, San Francisco, CA

jobs by Indeed




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