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DBMS > Firebird vs. RethinkDB vs. Spark SQL vs. Trino

System Properties Comparison Firebird vs. RethinkDB vs. Spark SQL vs. Trino

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL is a component on top of 'Spark Core' for structured data processingFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.firebirdsql.orgrethinkdb.comspark.apache.org/­sqltrino.io
Technical documentationwww.firebirdsql.org/­en/­reference-manualsrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperFirebird FoundationThe Linux Foundation infosince July 2017Apache Software FoundationTrino Software Foundation
Initial release2000 infoAs fork of Borland's InterBase200920142012 info2020 rebranded from PrestoSQL
Current release5.0.0, January 20242.4.1, August 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
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++C++ScalaJava
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Linux
macOS infofor devlopment
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesyes
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.nonono
Secondary indexesyesyesnodepending on connected data-source
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresPSQLnoyes, depending on connected data-source
TriggersyesClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding inforange basedyes, utilizing Spark Coredepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptyes infousers and table-level permissionsnoSQL standard access control
More information provided by the system vendor
FirebirdRethinkDBSpark SQLTrino
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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