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DBMS > Amazon DocumentDB vs. Firebase Realtime Database vs. Firebird vs. Newts vs. PouchDB

System Properties Comparison Amazon DocumentDB vs. Firebase Realtime Database vs. Firebird vs. Newts vs. PouchDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonFirebird  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Firebird is an open source RDBMS forked from Borland's InterBaseTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument storeRelational DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score13.60
Rank#39  Overall
#6  Document stores
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Websiteaws.amazon.com/­documentdbfirebase.google.com/­products/­realtime-databasewww.firebirdsql.orgopennms.github.io/­newtspouchdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesfirebase.google.com/­docs/­databasewww.firebirdsql.org/­en/­reference-manualsgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperGoogle infoacquired by Google 2014Firebird FoundationOpenNMS GroupApache Software Foundation
Initial release201920122000 infoAs fork of Borland's InterBase20142012
Current release5.0.1, August 20247.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaJavaScript
Server operating systemshostedhostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesyesyesyesnoyes infovia views
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
JavaScript
Objective-C
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
JavaJavaScript
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'PSQLnoView functions in JavaScript
TriggersnoCallbacks are triggered when data changesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesyes, based on authentication and database rulesUsers with fine-grained authorization conceptnono

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More resources
Amazon DocumentDBFirebase Realtime DatabaseFirebirdNewtsPouchDB
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