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DBMS > Amazon DocumentDB vs. FoundationDB vs. HarperDB vs. OrigoDB

System Properties Comparison Amazon DocumentDB vs. FoundationDB vs. HarperDB vs. OrigoDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHarperDB  Xexclude from comparisonOrigoDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOrdered key-value store. Core features are complimented by layers.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A fully ACID in-memory object graph database
Primary database modelDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­apple/­foundationdbwww.harperdb.ioorigodb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesapple.github.io/­foundationdbdocs.harperdb.io/­docsorigodb.com/­docs
DeveloperFoundationDBHarperDBRobert Friberg et al
Initial release2019201320172009 infounder the name LiveDB
Current release6.2.28, November 20203.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree community edition availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsC#
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Linux
Windows
Data schemeschema-freeschema-free infosome layers support schemasdynamic schemayes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes infoJSON data typesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlySQL-like data manipulation statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
HTTP API
LINQ
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
Server-side scripts infoStored proceduresnoin SQL-layer onlyCustom Functions infosince release 3.1yes
Triggersnononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes infothe nodes on which a table resides can be definedSource-replica replication
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 ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblein SQL-layer onlynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users and rolesRole based authorization

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More resources
Amazon DocumentDBFoundationDBHarperDBOrigoDB
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