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DBMS > Amazon Neptune vs. FoundationDB vs. Oracle Berkeley DB

System Properties Comparison Amazon Neptune vs. FoundationDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFoundationDB  Xexclude from comparisonOracle Berkeley DB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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, reliable graph database built for the cloudOrdered key-value store. Core features are complimented by layers.Widely used in-process key-value store
Primary database modelGraph DBMS
RDF store
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#121  Overall
#7  Graph DBMS
#4  RDF stores
Score1.60
Rank#167  Overall
#29  Document stores
#28  Key-value stores
#81  Relational DBMS
Score3.24
Rank#102  Overall
#19  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­neptunegithub.com/­apple/­foundationdbwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationaws.amazon.com/­neptune/­developer-resourcesapple.github.io/­foundationdbdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonFoundationDBOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201720131994
Current release6.2.28, November 202018.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingno
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.noyes infoonly with the Berkeley DB XML edition
Secondary indexesnonoyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoin SQL-layer onlyno
Triggersnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasyesSource-replica replication
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 integrityyes infoRelationships in graphsin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nono

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More resources
Amazon NeptuneFoundationDBOracle Berkeley DB
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