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DBMS > Amazon DynamoDB vs. Google Cloud Firestore vs. ObjectBox vs. OrigoDB

System Properties Comparison Amazon DynamoDB vs. Google Cloud Firestore vs. ObjectBox vs. OrigoDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonObjectBox  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudCloud 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.Extremely fast embedded database for small devices, IoT and MobileA fully ACID in-memory object graph database
Primary database modelDocument store
Key-value store
Document storeObject oriented DBMSDocument store
Object oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.73
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score6.70
Rank#57  Overall
#9  Document stores
Score0.74
Rank#200  Overall
#9  Object oriented DBMS
Score0.00
Rank#346  Overall
#50  Document stores
#21  Object oriented DBMS
Websiteaws.amazon.com/­dynamodbfirebase.google.com/­products/­firestoreobjectbox.ioorigodb.com
Technical documentationdocs.aws.amazon.com/­dynamodbfirebase.google.com/­docs/­firestoredocs.objectbox.ioorigodb.com/­docs
DeveloperAmazonGoogleObjectBox LimitedRobert Friberg et al
Initial release2012201720172009 infounder the name LiveDB
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C#
Server operating systemshostedhostedAndroid
iOS
Linux
macOS
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
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.nonono infocan be achieved using .NET
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary native API.NET Client API
HTTP API
LINQ
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnoyes
Triggersyes infoby integration with AWS Lambdayes, with Cloud Functionsnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationonline/offline synchronization between client and serverSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Using Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesdepending on model
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 regionyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
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 roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yesRole based authorization
More information provided by the system vendor
Amazon DynamoDBGoogle Cloud FirestoreObjectBoxOrigoDB
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More resources
Amazon DynamoDBGoogle Cloud FirestoreObjectBoxOrigoDB
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