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DBMS > GridDB vs. HEAVY.AI vs. Microsoft SQL Server vs. SWC-DB vs. Trino

System Properties Comparison GridDB vs. HEAVY.AI vs. Microsoft SQL Server vs. SWC-DB vs. Trino

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMicrosofts flagship relational DBMSA high performance, scalable Wide Column DBMSFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Spatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitegriddb.netgithub.com/­heavyai/­heavydb
www.heavy.ai
www.microsoft.com/­en-us/­sql-servergithub.com/­kashirin-alex/­swc-db
www.swcdb.org
trino.io
Technical documentationdocs.griddb.netdocs.heavy.ailearn.microsoft.com/­en-US/­sql/­sql-servertrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperToshiba CorporationHEAVY.AI, Inc.MicrosoftAlex KashirinTrino Software Foundation
Initial release20132016198920202012 info2020 rebranded from PrestoSQL
Current release5.1, August 20225.10, January 2022SQL Server 2022, November 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache Version 2; enterprise edition availablecommercial inforestricted free version is availableOpen Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC++C++ and CUDAC++C++Java
Server operating systemsLinuxLinuxLinux
Windows
LinuxLinux
macOS infofor devlopment
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.nonoyesnono
Secondary indexesyesnoyesdepending on connected data-source
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocol
Thrift
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanoyes, depending on connected data-source
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robintables can be distributed across several files (horizontal partitioning); sharding through federationShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes, but depending on the SQL-Server Editiondepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
GridDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft SQL ServerSWC-DB infoSuper Wide Column DatabaseTrino
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricsGitHub trending repository
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft SQL ServerSWC-DB infoSuper Wide Column DatabaseTrino
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