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DBMS > Amazon DynamoDB vs. Fauna vs. jBASE vs. ObjectBox vs. STSdb

System Properties Comparison Amazon DynamoDB vs. Fauna vs. jBASE vs. ObjectBox vs. STSdb

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonjBASE  Xexclude from comparisonObjectBox  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A robust multi-value DBMS comprising development tools and middlewareLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Multivalue DBMSObject oriented DBMS
Vector DBMS
Key-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score72.39
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.43
Rank#148  Overall
#26  Document stores
#13  Graph DBMS
#68  Relational DBMS
#13  Time Series DBMS
Score1.39
Rank#154  Overall
#3  Multivalue DBMS
Score1.10
Rank#173  Overall
#6  Object oriented DBMS
#10  Vector DBMS
Score0.03
Rank#362  Overall
#55  Key-value stores
Websiteaws.amazon.com/­dynamodbfauna.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­objectbox
objectbox.io
github.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.fauna.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.objectbox.io
DeveloperAmazonFauna, Inc.Rocket Software (formerly Zumasys)ObjectBox LimitedSTS Soft SC
Initial release20122014199120172011
Current release5.74.0 (May 2024)4.0.8, September 2015
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++C#
Server operating systemshostedhostedAIX
Linux
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnooptionalyes, plus "flex" map-like typesyes infoprimitive types and user defined types (classes)
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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoEmbedded SQL for jBASE in BASICnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Proprietary native API.NET Client API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Basic
Jabbascript
Java
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C#
Java
Server-side scripts infoStored proceduresnouser defined functionsyesnono
Triggersyes infoby integration with AWS Lambdanoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesData sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
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 integritynoyesnoyesno
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 regionACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Identity management, authentication, and access controlAccess rights can be defined down to the item levelyesno
More information provided by the system vendor
Amazon DynamoDBFauna infopreviously named FaunaDBjBASEObjectBoxSTSdb
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More resources
Amazon DynamoDBFauna infopreviously named FaunaDBjBASEObjectBoxSTSdb
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Build a scalable, context-aware chatbot with Amazon DynamoDB, Amazon Bedrock, and LangChain
6 November 2024, AWS Blog

AWS Re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns For DynamoDB (DAT401) [1a006c]
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AWS Re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns For DynamoDB (DAT401) [11b37b]
8 November 2024, University of Birmingham

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