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DBMS > Brytlyt vs. Google Cloud Datastore vs. OmniSci

System Properties Comparison Brytlyt vs. Google Cloud Datastore vs. OmniSci

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#252  Overall
#120  Relational DBMS
Score4.38
Rank#80  Overall
#12  Document stores
Score1.38
Rank#144  Overall
#70  Relational DBMS
Websitewww.brytlyt.comcloud.google.com/­datastorewww.omnisci.com
Technical documentationcloud.google.com/­datastore/­docsdocs.omnisci.com
DeveloperBrytlytGoogleMapD Technologies, Inc.
Initial release201620082016
Current release0.9, October 20165.6, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
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++ and CUDAC++ and CUDA
Server operating systemsLinux
OS X
Windows
hostedLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL-like query language (GQL)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLusing Google App Engineno
TriggersyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using PaxosMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
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
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
BrytlytGoogle Cloud DatastoreOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

Brytlyt Unleashes Serverless GPU-Acceleration for Analytics
15 September 2021, PRNewswire

Brytlyt Awarded US Patent for Relational JOINs Algorithm
27 August 2021, PR Newswire UK

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

Brytlyt Lauded by Frost & Sullivan for Building BrytlytDB, a GPU-powered Analytics Platform that Is Transforming the Way Companies Leverage Data
21 June 2021, MarTech Series

Brytlyt Welcomes John McAdam as Chairman of the Board
20 October 2020, PR Newswire UK

provided by Google News

Best cloud certification 2021
3 September 2021, ZDNet

Google Brings App Engine And Cloud Datastore To Its New East Coast Region
15 October 2015, TechCrunch

9 IBM Cloud Paks for app modernization and cloud efforts
2 September 2021, TechTarget

Google's Second Cloud Region In India: Implications & Competition
9 July 2021, Analytics India Magazine

NHS England's release of 'details' on access to Palantir COVID-19 data store: Good enough? We're in a 'dialogue' says national data watchdog
31 August 2021, The Register

provided by Google News

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

OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
12 April 2021, PRNewswire

OmniSci Launches Free Edition of Platform to Democratize the Power of Accelerated Analytics
3 March 2021, PRNewswire

OmniSci Drops OmniSci Free Edition Analytics and Data Science Platform
9 March 2021, Solutions Review

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

provided by Google News

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