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DBMS > Amazon Aurora vs. Apache Impala vs. FoundationDB vs. Interbase vs. Trino

System Properties Comparison Amazon Aurora vs. Apache Impala vs. FoundationDB vs. Interbase vs. Trino

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonFoundationDB  Xexclude from comparisonInterbase  Xexclude from comparisonTrino  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopOrdered key-value store. Core features are complimented by layers.Light-weight proven RDBMS infooriginally from BorlandFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsDocument storeDocument storeDocument 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
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orggithub.com/­apple/­foundationdbwww.embarcadero.com/­products/­interbasetrino.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlapple.github.io/­foundationdbdocs.embarcadero.com/­products/­interbasetrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaFoundationDBEmbarcaderoTrino Software Foundation
Initial release20152013201319842012 info2020 rebranded from PrestoSQL
Current release4.1.0, June 20226.2.28, November 2020InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
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++CJava
Server operating systemshostedLinuxLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Linux
macOS infofor devlopment
Data schemeyesyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes
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.yesnono infoexport as XML data possibleno
Secondary indexesyesyesnoyesdepending on connected data-source
SQL infoSupport of SQLyesSQL-like DML and DDL statementssupported in specific SQL layer onlyyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducein SQL-layer onlyyes infoInterbase procedure and trigger languageyes, depending on connected data-source
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryesInterbase Change Viewsdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyLinearizable consistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integrityyesnoin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
Amazon AuroraApache ImpalaFoundationDBInterbaseTrino
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
Amazon AuroraApache ImpalaFoundationDBInterbaseTrino
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