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DBMS > PostgreSQL vs. RavenDB

System Properties Comparison PostgreSQL vs. RavenDB

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Our visitors often compare PostgreSQL and RavenDB with MongoDB, CouchDB and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NamePostgreSQL  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Secondary database modelsDocument storeGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score527.00
Rank#4  Overall
#4  Relational DBMS
Score4.14
Rank#78  Overall
#13  Document stores
Websitewww.postgresql.orgravendb.net
Technical documentationwww.postgresql.org/­docs/­manualsravendb.net/­docs
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerHibernating Rhinos
Initial release1989 info1989: Postgres, 1996: PostgreSQL2010
Current release12.3, May 20204.2, May 2019
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
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.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageCC#
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.yes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like query language (RQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensionsMulti-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess control on document level using the Authorization Bundle
More information provided by the system vendor
PostgreSQLRavenDB
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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.

Related products and services
3rd partiesGeneral SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
» more

2ndQuadrant: Mission Critical Databases.
» more

pgDash: In-Depth PostgreSQL Monitoring.
» more

CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!
» more

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

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

More resources
PostgreSQLRavenDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

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

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Conferences and events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

Recent citations in the news

Taking a practical approach to open source PostgreSQL
24 June 2020, TechTarget

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30 June 2020, Datanami

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EnterpriseDB Rebrands to EDB; Continues to Lead in the PostgreSQL Movement
23 June 2020, Business Wire

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