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DBMS > Amazon DynamoDB vs. Apache Cassandra vs. Firebase Realtime Database

System Properties Comparison Amazon DynamoDB vs. Apache Cassandra vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Cassandra  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelDocument store
Key-value store
Wide column storeDocument store
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.30
Rank#15  Overall
#3  Document stores
#2  Key-value stores
Score108.05
Rank#11  Overall
#1  Wide column stores
Score13.43
Rank#39  Overall
#6  Document stores
Websiteaws.amazon.com/­dynamodbcassandra.apache.orgfirebase.google.com/­products/­realtime-database
Technical documentationdocs.aws.amazon.com/­dynamodbcassandra.apache.org/­doc/­latestfirebase.google.com/­docs/­database
DeveloperAmazonApache Software Foundation infoApache top level project, originally developped by FacebookGoogle infoacquired by Google 2014
Initial release201220082012
Current release5.0-rc1, July 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedBSD
Linux
OS X
Windows
hosted
Data schemeschema-freeschema-freeschema-free
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 indexesyesrestricted infoonly equality queries, not always the best performing solutionyes
SQL infoSupport of SQLnoSQL-like SELECT, DML and DDL statements (CQL)no
APIs and other access methodsRESTful HTTP APIProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'
Triggersyes infoby integration with AWS LambdayesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionno infoAtomicity and isolation are supported for single operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per objectyes, based on authentication and database rules
More information provided by the system vendor
Amazon DynamoDBApache CassandraFirebase Realtime Database
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