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DBMS > Amazon DocumentDB vs. FeatureBase vs. Firebird

System Properties Comparison Amazon DocumentDB vs. FeatureBase vs. Firebird

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonFirebird  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Firebird is an open source RDBMS forked from Borland's InterBase
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score19.46
Rank#30  Overall
#18  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.featurebase.comwww.firebirdsql.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.featurebase.comwww.firebirdsql.org/­en/­reference-manuals
DeveloperMolecula and Pilosa Open Source ContributorsFirebird Foundation
Initial release201920172000 infoAs fork of Borland's InterBase
Current release2022, May 20225.0.1, August 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoInitial Developer's Public License
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++
Server operating systemshostedLinux
macOS
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL queriesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC
JDBC
Kafka Connector
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoPSQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writers
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes
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 rolesUsers with fine-grained authorization concept

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More resources
Amazon DocumentDBFeatureBaseFirebird
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