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DBMS > EJDB vs. FaunaDB vs. FoundationDB

System Properties Comparison EJDB vs. FaunaDB vs. FoundationDB

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFaunaDB  Xexclude from comparisonFoundationDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Strongly consistent database capable of global horizontal scale with a focus on operational simplicityOrdered key-value store. Core features are complimented by layers.
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#260  Overall
#35  Document stores
Score0.95
Rank#154  Overall
#23  Document stores
#12  Graph DBMS
#75  Relational DBMS
#9  Time Series DBMS
Score0.70
Rank#177  Overall
#26  Document stores
#31  Key-value stores
#87  Relational DBMS
Websiteejdb.orgfauna.comwww.foundationdb.org
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.fauna.comapple.github.io/­foundationdb
DeveloperSoftmotionsFauna, Inc.FoundationDB
Initial release201220142013
Current release6.2.11, November 2019
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC++
Server operating systemsserver-lessLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnono infosome layers support typing
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.no
Secondary indexesnoyesno
SQL infoSupport of SQLnonosupported in specific SQL layer only
APIs and other access methodsin-process shared libraryRESTful HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresnouser defined functionsin SQL-layer only
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMasterlessyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoIdentity management, authentication, and access controlno

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More resources
EJDBFaunaDBFoundationDB
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