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DBMS > Amazon Neptune vs. Dgraph vs. Oracle Coherence vs. Percona Server for MongoDB vs. PostgreSQL

System Properties Comparison Amazon Neptune vs. Dgraph vs. Oracle Coherence vs. Percona Server for MongoDB vs. PostgreSQL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonDgraph  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudDistributed and scalable native Graph DBMSOracles in-memory data grid solutionA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
RDF store
Graph DBMSKey-value storeDocument storeRelational 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
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­neptunedgraph.iowww.oracle.com/­java/­coherencewww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.postgresql.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdgraph.io/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.percona.com/­percona-distribution-for-mongodbwww.postgresql.org/­docs
DeveloperAmazonDgraph Labs, Inc.OraclePerconaPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20172016200720151989 info1989: Postgres, 1996: PostgreSQL
Current release14.1, August 20233.4.10-2.10, November 201716.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL Version 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++C
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
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.nonononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnonononoyes infostandard with numerous extensions
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCache
JPA
RESTful HTTP API
proprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnononoJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes infoLive Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingpartitioning 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.Synchronous replication via Raftyes, with selectable consistency levelSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDconfigurablenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoPlanned for future releasesauthentification to access the cache via certificates or http basic authenticationAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
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