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DBMS > Amazon DocumentDB vs. atoti vs. Fauna

System Properties Comparison Amazon DocumentDB vs. atoti vs. Fauna

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonatoti  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Fauna 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.
Primary database modelDocument storeObject oriented DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Websiteaws.amazon.com/­documentdbatoti.iofauna.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.atoti.iodocs.fauna.com
DeveloperActiveViamFauna, Inc.
Initial release20192014
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemshostedhosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Server-side scripts infoStored proceduresnoPythonuser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioninghorizontal partitioning infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesIdentity management, authentication, and access control

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More resources
Amazon DocumentDBatotiFauna infopreviously named FaunaDB
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