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DBMS > Amazon DocumentDB vs. Firebase Realtime Database vs. InterSystems Caché vs. YottaDB

System Properties Comparison Amazon DocumentDB vs. Firebase Realtime Database vs. InterSystems Caché vs. YottaDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonYottaDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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.A multi-model DBMS and application serverA fast and solid embedded Key-value store
Primary database modelDocument storeDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Secondary database modelsDocument storeRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score13.64
Rank#39  Overall
#6  Document stores
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaws.amazon.com/­documentdbfirebase.google.com/­products/­realtime-databasewww.intersystems.com/­products/­cacheyottadb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesfirebase.google.com/­docs/­databasedocs.intersystems.comyottadb.com/­resources/­documentation
DeveloperGoogle infoacquired by Google 2014InterSystemsYottaDB, LLC
Initial release2019201219972001
Current release2018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
Data schemeschema-freeschema-freedepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoyesby using the Octo plugin
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Android
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
JavaScript
Objective-C
C#
C++
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes
TriggersnoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesyes, based on authentication and database rulesAccess rights for users, groups and rolesUsers and groups based on OS-security mechanisms

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More resources
Amazon DocumentDBFirebase Realtime DatabaseInterSystems CachéYottaDB
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