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DBMS > Amazon Neptune vs. Bangdb vs. FoundationDB vs. HyperSQL vs. Linter

System Properties Comparison Amazon Neptune vs. Bangdb vs. FoundationDB vs. HyperSQL vs. Linter

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBangdb  Xexclude from comparisonFoundationDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLinter  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 cloudConverged and high performance database for device data, events, time series, document and graphOrdered key-value store. Core features are complimented by layers.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBRDBMS for high security requirements
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websiteaws.amazon.com/­neptunebangdb.comgithub.com/­apple/­foundationdbhsqldb.orglinter.ru
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bangdb.comapple.github.io/­foundationdbhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperAmazonSachin Sinha, BangDBFoundationDBrelex.ru
Initial release20172012201320011990
Current releaseBangDB 2.0, October 20216.2.28, November 20202.7.2, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache 2.0Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++JavaC and C++
Server operating systemshostedLinuxLinux
OS X
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeschema-freeschema-freeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsno infosome layers support typingyesyes
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.nononono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLnoSQL like support with command line toolsupported in specific SQL layer onlyyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
All languages supporting JDBC/ODBC
Java
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnonoin SQL-layer onlyJava, SQLyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyes, Notifications (with Streaming only)noyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factor, Knob for CAP (enterprise version only)yesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoin SQL-layer onlyyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneBangdbFoundationDBHyperSQL infoalso known as HSQLDBLinter
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