DBMS > PostgreSQL vs. YDB
System Properties Comparison PostgreSQL vs. YDB
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||YDB Xexclude from comparison|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API|
|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|
|Secondary database models||Document store|
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Yandex|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2019|
|Current release||16.1, November 2023|
|License Commercial or Open Source||Open Source BSD||Open Source Apache 2.0; commercial license available|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.|
|Server operating systems||FreeBSD|
|Data scheme||yes||Flexible Schema (defined schema, partial schema, schema free)|
|Typing predefined data types such as float or date||yes||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.||no|
|SQL Support of SQL||yes standard with numerous extensions||SQL-like query language (YQL)|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
|RESTful HTTP API (DynamoDB compatible)|
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||Active-passive shard replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||fine grained access rights according to SQL-standard||Access rights defined for Yandex Cloud users|
More information provided by the system vendor
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|Related products and services|
|3rd parties||Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Navicat Monitor is a safe, simple and agentless remote server monitoring tool for PostgreSQL and many other database management systems.
pgDash: In-Depth PostgreSQL Monitoring.
Redgate webinars: A series of key topics for new PostgreSQL users.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
Instaclustr: Fully Hosted & Managed PostgreSQL
Timescale: Calling all PostgreSQL users – the 2023 State of PostgreSQL survey is now open! Share your favorite extensions, preferred frameworks, community experiences, and more. Take the survey today!
Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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