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DBMS > Alibaba Cloud HybridDB vs. Neo4j vs. PostgreSQL

System Properties Comparison Alibaba Cloud HybridDB vs. Neo4j vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAlibaba Cloud HybridDB  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionHybridDB is an online MPP (Massively Parallel Processing) data warehousing service based on GreenplumOpen source graph databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSGraph 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#243  Overall
#115  Relational DBMS
Score48.39
Rank#22  Overall
#1  Graph DBMS
Score481.33
Rank#4  Overall
#4  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlneo4j.comwww.postgresql.org
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­35387.htmneo4j.com/­docswww.postgresql.org/­docs/­manuals
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupNeo4j, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201620071989 info1989: Postgres, 1996: PostgreSQL
Current release3.5.4, April 201911.5, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen 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.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageJava, ScalaC
Server operating systemshostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-free and schema-optionalyes
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.yesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesnoyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyes infoUser defined Procedures and Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
Alibaba Cloud HybridDBNeo4jPostgreSQL
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

AI & Graph Technology: Connections Improve Accuracy
19 August 2019

This Week in Neo4j – 4.0 Milestone Testing, Highschool Popularity Algorithms, Minecraft Crafting Tree, Cancer Graph and Social Network Pagination
17 August 2019

#GraphCast: Better Data, Better Decisions
16 August 2019

Visualizing This Week in Tech
15 August 2019

AI & Graph Technology: How Graphs Accelerate Machine Learning
12 August 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Alibaba Cloud HybridDBNeo4jPostgreSQL
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
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Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

PostgreSQL Conference, Asia 2019
Denpasar, Bali, Indonesia, 9-12 September 2019

PostgreSQL Conference, Europe 2019
Milan, Italy, 15-18 October 2019

Recent citations in the news

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Alibaba Cloud: Rising Star in the Cloud Market
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1 August 2019, PRNewswire

New Graph Database Performance Benchmark Confirms Graph Databases are Ready for Solving Real-World Business Intelligence, Data Challenges
14 August 2019, Yahoo Finance

provided by Google News

After PostgreSQL, DigitalOcean now adds MySQL and Redis to its managed databases’ offering
20 August 2019, Packt Hub

Database PostgreSQL makes transition from academia to enterprise
9 August 2019, TechHQ

DigitalOcean launches managed MySQL and Redis database services
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Providing Postgres at scale with EnterpriseDB
8 August 2019, Tech Wire Asia

Microsoft buys a start-up whose software limits access to sensitive data
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