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DBMS > Amazon Neptune vs. Apache Jena - TDB vs. Dgraph vs. FeatureBase vs. PostgreSQL

System Properties Comparison Amazon Neptune vs. Apache Jena - TDB vs. Dgraph vs. FeatureBase vs. PostgreSQL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonDgraph  Xexclude from comparisonFeatureBase  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkDistributed and scalable native Graph DBMSReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
RDF store
RDF storeGraph DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
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
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score3.75
Rank#84  Overall
#3  RDF stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­neptunejena.apache.org/­documentation/­tdb/­index.htmldgraph.iowww.featurebase.comwww.postgresql.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesjena.apache.org/­documentation/­tdb/­index.htmldgraph.io/­docsdocs.featurebase.comwww.postgresql.org/­docs
DeveloperAmazonApache Software Foundation infooriginally developed by HP LabsDgraph Labs, Inc.Molecula and Pilosa Open Source ContributorsPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20172000201620171989 info1989: Postgres, 1996: PostgreSQL
Current release4.9.0, July 20232022, May 202216.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
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Implementation languageJavaGoGoC
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyes infoRDF Schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnononoSQL queriesyes infostandard with numerous extensions
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infovia event handlernonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyesShardingpartitioning by range, list and (since PostgreSQL 11) by hash
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.noneSynchronous replication via RaftyesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access control via Jena Securityno infoPlanned for future releasesfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneApache Jena - TDBDgraphFeatureBasePostgreSQL
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