DBMS > PostgreSQL vs. RavenDB vs. VoltDB
System Properties Comparison PostgreSQL vs. RavenDB vs. VoltDB
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||RavenDB Xexclude from comparison||VoltDB Xexclude from comparison|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Open Source Operational and Transactional Enterprise NoSQL Document Database||Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory|
|Primary database model||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Document store||Relational DBMS|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Hibernating Rhinos||VoltDB Inc.|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2010||2010|
|Current release||12.1, November 2019||4.2, May 2019||9.0, April 2019|
|License Commercial or Open Source||Open Source BSD||Open Source AGPL version 3, commercial license available||Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|RavenDB Cloud: Deploy a multi-node managed cluster in minutes. 10% discount for all users throughout 2019.|
|Implementation language||C||C#||Java, C++|
|Server operating systems||FreeBSD|
OS X for development
|Typing predefined data types such as float or date||yes||no||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes specific XML-type available, but no XML query functionality.|
|SQL Support of SQL||yes standard with numerous extensions||SQL-like query language (RQL)||yes only a subset of SQL 99|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
|.NET Client API|
Java Client API
Python Client API
RESTful HTTP API
RESTful HTTP/JSON API
|Supported programming languages||.Net|
Erlang not officially supported
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes||Java|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave replication other methods possible by using 3rd party extensions||Multi-master replication||Master-master replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes MapReduce functions can be defined in Linq||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||yes||no||no FOREIGN KEY constraints are not supported|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID, Cluster-wide transaction available||ACID Transactions are executed single-threaded within stored procedures|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes Data access is serialized by the server|
|Durability Support for making data persistent||yes||yes||yes Snapshots and command logging|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||fine grained access rights according to SQL-standard||Access control on document level using the Authorization Bundle||Users and roles with access to stored procedures|
|More information provided by the system vendor|
|Specific characteristics||RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...|
|Competitive advantages||RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...|
|Typical application scenarios||IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...|
|Key customers||Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...|
|Market metrics||2 million+ downloads 1000+ customers including Fortune 500 large enterprises|
|Licensing and pricing models||RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.|
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!
Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
pgDash: In-Depth PostgreSQL Monitoring.
DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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