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DBMS > Amazon DocumentDB vs. Amazon DynamoDB vs. Ehcache vs. Fauna vs. Tkrzw

System Properties Comparison Amazon DocumentDB vs. Amazon DynamoDB vs. Ehcache vs. Fauna vs. Tkrzw

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonEhcache  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHosted, scalable database service by Amazon with the data stored in Amazons cloudA widely adopted Java cache with tiered storage optionsFauna 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 concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeDocument store
Key-value store
Key-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­documentdbaws.amazon.com/­dynamodbwww.ehcache.orgfauna.comdbmx.net/­tkrzw
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­dynamodbwww.ehcache.org/­documentationdocs.fauna.com
DeveloperAmazonTerracotta Inc, owned by Software AGFauna, Inc.Mikio Hirabayashi
Initial release20192012200920142020
Current release3.10.0, March 20220.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++
Server operating systemshostedhostedAll OS with a Java VMhostedLinux
macOS
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonononono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIJCacheRESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
JavaC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnoyes infoby integration with AWS Lambdayes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoby using Terracotta Serverhorizontal partitioning infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes infoby using Terracotta ServerMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoACID across one or more tables within a single AWS account and regionyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noIdentity management, authentication, and access controlno

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More resources
Amazon DocumentDBAmazon DynamoDBEhcacheFauna infopreviously named FaunaDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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