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DBMS > Interbase vs. Microsoft Azure Table Storage vs. Trino vs. Valentina Server

System Properties Comparison Interbase vs. Microsoft Azure Table Storage vs. Trino vs. Valentina Server

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTrino  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandA Wide Column Store for rapid development using massive semi-structured datasetsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLObject-relational database and reports server
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score4.99
Rank#65  Overall
#36  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.embarcadero.com/­products/­interbaseazure.microsoft.com/­en-us/­services/­storage/­tablestrino.iowww.valentina-db.net
Technical documentationdocs.embarcadero.com/­products/­interbasetrino.io/­broadcast
trino.io/­docs/­current
valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperEmbarcaderoMicrosoftTrino Software FoundationParadigma Software
Initial release198420122012 info2020 rebranded from PrestoSQL1999
Current releaseInterBase 2020, December 20195.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageCJava
Server operating systemsAndroid
iOS
Linux
OS X
Windows
hostedLinux
macOS infofor devlopment
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
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.no infoexport as XML data possiblenono
Secondary indexesyesnodepending on connected data-sourceyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
RESTful HTTP API
Trino CLI
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
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 proceduresyes infoInterbase procedure and trigger languagenoyes, depending on connected data-sourceyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.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 integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyes
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesSQL standard access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
InterbaseMicrosoft Azure Table StorageTrinoValentina 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
InterbaseMicrosoft Azure Table StorageTrinoValentina Server
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