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DBMS > Amazon DocumentDB vs. Fauna vs. SurrealDB vs. Tkrzw

System Properties Comparison Amazon DocumentDB vs. Fauna vs. SurrealDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonSurrealDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.A fully ACID transactional, developer-friendly, multi-model DBMSA 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
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
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
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websiteaws.amazon.com/­documentdbfauna.comsurrealdb.comdbmx.net/­tkrzw
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.fauna.comsurrealdb.com/­docs
DeveloperFauna, Inc.SurrealDB LtdMikio Hirabayashi
Initial release2019201420222020
Current releasev1.5.0, May 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaRustC++
Server operating systemshostedhostedLinux
macOS
Windows
Linux
macOS
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesyes
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Deno
Go
JavaScript (Node.js)
Rust
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal 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 replicasMulti-source 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 possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesIdentity management, authentication, and access controlyes, based on authentication and database rulesno

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More resources
Amazon DocumentDBFauna infopreviously named FaunaDBSurrealDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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