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DBMS > Amazon Neptune vs. Fauna vs. PostgreSQL vs. searchxml

System Properties Comparison Amazon Neptune vs. Fauna vs. PostgreSQL vs. searchxml

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudFauna 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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Native XML DBMS
Search engine
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteaws.amazon.com/­neptunefauna.comwww.postgresql.orgwww.searchxml.net/­category/­products
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.fauna.comwww.postgresql.org/­docswww.searchxml.net/­support/­handouts
DeveloperAmazonFauna, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerinformationpartners gmbh
Initial release201720141989 info1989: Postgres, 1996: PostgreSQL2015
Current release16.3, May 20241.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCC++
Server operating systemshostedhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoon the application server
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingpartitioning by range, list and (since PostgreSQL 11) by hashnone
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.Multi-source replicationSource-replica replication infoother methods possible by using 3rd party extensionsyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Identity management, authentication, and access controlfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
Amazon NeptuneFauna infopreviously named FaunaDBPostgreSQLsearchxml
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