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DBMS > Google BigQuery vs. OmniSci

System Properties Comparison Google BigQuery vs. OmniSci

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Our visitors often compare Google BigQuery and OmniSci with SAP HANA, Vertica and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
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
Score2.69
Rank#98  Overall
#49  Relational DBMS
Websitecloud.google.com/­bigquerywww.omnisci.com
Technical documentationcloud.google.com/­bigquery/­docswww.omnisci.com/­docs/­latest
DeveloperGoogleMapD Technologies, Inc.
Initial release20102016
Current releaseV4
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition available
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++ and CUDA
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 indexesnono
SQL infoSupport of SQLyesyes
APIs and other access methodsRESTful HTTP/JSON APIThrift
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
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
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Google BigQueryOmniSci 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

OmniSci Hires Laura Craig as Vice President of Sales, Americas
23 April 2019, PRNewswire

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

GPU Database Market is Booming Worldwide | Kinetica, Omnisci, Sqream, Neo4j
29 April 2019, openPR

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

GPU Database Market Trends 2019 and Industry Forecast 2023
13 May 2019, Market Reporter

provided by Google News

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