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DBMS > Amazon Neptune vs. Elasticsearch vs. PostgreSQL

System Properties Comparison Amazon Neptune vs. Elasticsearch vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonElasticsearch  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
RDF store
Search engineRelational 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
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.39
Rank#113  Overall
#8  Graph DBMS
#5  RDF stores
Score158.25
Rank#8  Overall
#1  Search engines
Score586.97
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­neptunewww.elastic.co/­elasticsearchwww.postgresql.org
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.postgresql.org/­docs
DeveloperAmazonElasticPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201720101989 info1989: Postgres, 1996: PostgreSQL
Current release7.8.0, June 202014.0, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Elastic LicenseOpen Source infoBSD
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.
ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageJavaC
Server operating systemshostedAll OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyes
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.
Secondary indexesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageyes infostandard with numerous extensions
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning 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 replicasyesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.Memcached and Redis integrationno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Amazon NeptuneElasticsearchPostgreSQL
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

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2 March 2016, Paul Andlinger

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The Inexorable Rise of PostgreSQL
24 September 2021,  Matt Yonkovit, Percona (sponsor) 

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Conferences and events

PostgreSQL Performance Tuning Secrets
On Demand Webinar, 21 October 2021

Postgres Build 2021
Free Virtual Event, 30 November 2021 - 1 December 2021

Finished events

Latest Performance Features in PostgreSQL 14
On Demand Webinar, 14 October 2021 (finished)

Recent citations in the news

Amazon Neptune update: Machine learning, data science, and the future of graph databases
30 July 2021, ZDNet

Catching up with Amazon Neptune
26 November 2019, ZDNet

Looking under the hood at Amazon Neptune
5 April 2018, ZDNet

Amazon Neptune is here: 6 ways customers use the AWS graph database
31 May 2018, TechRepublic

Amazon introduces an AWS graph database service called Amazon Neptune
29 November 2017, TechCrunch

provided by Google News

How to install the Elasticsearch analytics engine with a handy GUI on AlmaLinux
7 October 2021, TechRepublic

Webinar: How to secure your sensitive data in Elasticsearch
13 October 2021, Help Net Security

Elastic Announces Native Integration with Google Cloud Dataflow in Elastic Cloud, and Enhancements to Runtime Fields in Elasticsearch and Kibana
24 September 2021, Yahoo Finance

Elastic Showcases How Customers Solve Data Challenges with the Power of Search at ElasticON Global Virtual Conference
7 October 2021, Business Wire

Telegraph newspaper bares 10TB of subscriber data and server logs to world+dog
5 October 2021, The Register

provided by Google News

Google Opens Up Spanner Database With PostgreSQL Interface
13 October 2021, The Next Platform

PostgreSQL 14 improves open source database performance
30 September 2021, TechTarget

Open-source veteran PostgreSQL emits release 14: Tweaked, scalable, and ready to get heavy
1 October 2021, The Register

PostgreSQL 14 brings performance boosts
1 October 2021, InfoWorld

PostgreSQL 14 is here - what should you look out for?
14 October 2021, JAXenter

provided by Google News

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