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DBMS > Amazon DocumentDB vs. Fauna vs. Fujitsu Enterprise Postgres vs. Lovefield

System Properties Comparison Amazon DocumentDB vs. Fauna vs. Fujitsu Enterprise Postgres vs. Lovefield

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFauna 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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Embeddable relational database for web apps written in pure JavaScript
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score1.55
Rank#143  Overall
#26  Document stores
#13  Graph DBMS
#66  Relational DBMS
#13  Time Series DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Websiteaws.amazon.com/­documentdbfauna.comwww.postgresql.fastware.comgoogle.github.io/­lovefield
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.fauna.comwww.postgresql.fastware.com/­product-manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperFauna, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogle
Initial release201920142014
Current releaseFujitsu Enterprise Postgres 14, January 20222.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCJavaScript
Server operating systemshostedhostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
TriggersnonoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingpartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and rolesIdentity management, authentication, and access controlfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBFauna infopreviously named FaunaDBFujitsu Enterprise PostgresLovefield
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