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DBMS > ObjectBox vs. Teradata vs. Trino vs. Valentina Server

System Properties Comparison ObjectBox vs. Teradata vs. Trino vs. Valentina Server

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonTeradata  Xexclude from comparisonTrino  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLObject-relational database and reports server
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document 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
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteobjectbox.iowww.teradata.comtrino.iowww.valentina-db.net
Technical documentationdocs.objectbox.iodocs.teradata.comtrino.io/­broadcast
trino.io/­docs/­current
valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperObjectBox LimitedTeradataTrino Software FoundationParadigma Software
Initial release201719842012 info2020 rebranded from PrestoSQL1999
Current releaseTeradata Vantage 1.0 MU2, January 20195.7.5
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
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 and C++Java
Server operating systemsAndroid
iOS
Linux
macOS
Windows
hosted
Linux
Linux
macOS infofor devlopment
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexdepending on connected data-sourceyes
SQL infoSupport of SQLnoyes infoSQL 2016 + extensionsyesyes
APIs and other access methodsProprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
RESTful HTTP API
Trino CLI
ODBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoUDFs, stored procedures, table functions in parallelyes, depending on connected data-sourceyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoHashingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardSQL standard access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
ObjectBoxTeradataTrinoValentina Server
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ObjectBoxTeradataTrinoValentina Server
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