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DBMS > Amazon DocumentDB vs. FoundationDB vs. GBase vs. Interbase

System Properties Comparison Amazon DocumentDB vs. FoundationDB vs. GBase vs. Interbase

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonGBase  Xexclude from comparisonInterbase  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOrdered key-value store. Core features are complimented by layers.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Light-weight proven RDBMS infooriginally from Borland
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­apple/­foundationdbwww.gbase.cnwww.embarcadero.com/­products/­interbase
Technical documentationaws.amazon.com/­documentdb/­resourcesapple.github.io/­foundationdbdocs.embarcadero.com/­products/­interbase
DeveloperFoundationDBGeneral Data Technology Co., Ltd.Embarcadero
Initial release2019201320041984
Current release6.2.28, November 2020GBase 8a, GBase 8s, GBase 8cInterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonC
Server operating systemshostedLinux
OS X
Windows
LinuxAndroid
iOS
Linux
OS X
Windows
Data schemeschema-freeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno 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.noyesno infoexport as XML data possible
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyStandard with numerous extensionsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresnoin SQL-layer onlyuser defined functionsyes infoInterbase procedure and trigger language
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyesInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblein SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny control
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesnoyesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBFoundationDBGBaseInterbase
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