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DBMS > Amazon DynamoDB vs. Couchbase vs. Google Cloud Firestore

System Properties Comparison Amazon DynamoDB vs. Couchbase vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.
Primary database modelDocument store
Key-value store
Document store
Vector DBMS
Document store
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Wide column store
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
Score13.82
Rank#38  Overall
#5  Document stores
#3  Vector DBMS
Score7.51
Rank#43  Overall
#7  Document stores
Websiteaws.amazon.com/­dynamodbwww.couchbase.comfirebase.google.com/­products/­firestore
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.couchbase.comfirebase.google.com/­docs/­firestore
DeveloperAmazonCouchbase, Inc.Google
Initial release201220112017
Current releaseServer: 7.6, March 2024; Mobile: 3.3, August 2024; Couchbase Capella (DBaaS), September 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, Go and Erlang
Server operating systemshostedLinux
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesno
APIs and other access methodsRESTful HTTP APICLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++yes, Firebase Rules & Cloud Functions
Triggersyes infoby integration with AWS Lambdayes infovia the TAP protocolyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoincluding cross data center replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency
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 regionACIDyes
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.yes infoEphemeral buckets
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Amazon DynamoDBCouchbase infoOriginally called MembaseGoogle Cloud Firestore
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Recent citations in the news

Announcing the end of support for AWS DynamoDB Session State Provider
7 May 2025, Amazon Web Services (AWS)

Announcing configurable point-in-time recovery periods for Amazon DynamoDB
7 January 2025, Amazon Web Services (AWS)

Amazon DynamoDB re:Invent 2024 recap
19 December 2024, Amazon Web Services (AWS)

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse | Amazon Web Services
3 December 2024, Amazon Web Services (AWS)

What version of Amazon DynamoDB are you running?
15 October 2024, Amazon Web Services (AWS)

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30 April 2025, Bloomberg

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4 March 2025, PR Newswire

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26 February 2025, Ragan Communications

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2 December 2024, CRN Magazine

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26 April 2025, infoq.com

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9 April 2025, VentureBeat

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