DBMS > openGauss vs. PostgreSQL vs. YugabyteDB
System Properties Comparison openGauss vs. PostgreSQL vs. YugabyteDB
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||openGauss Xexclude from comparison||PostgreSQL Xexclude from comparison||YugabyteDB Xexclude from comparison|
|Description||An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.|
|Primary database model||Relational DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS|
|Secondary database models||Document store|
Wide column store
|Developer||Huawei and openGauss community||PostgreSQL Global Development Group www.postgresql.org/developer||Yugabyte Inc.|
|Initial release||2019||1989 1989: Postgres, 1996: PostgreSQL||2017|
|Current release||3.0, March 2022||15.1, November 2022||2.17, December 2022|
|License Commercial or Open Source||Open Source||Open Source BSD||Open Source Apache 2.0|
|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.
|YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.|
|Implementation language||C, C++, Java||C||C and C++|
|Server operating systems||Linux||FreeBSD|
|Data scheme||yes||yes||depending on used data model|
|Typing predefined data types such as float or date||yes||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.||no||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||ANSI SQL 2011||yes standard with numerous extensions||yes, PostgreSQL compatible|
|APIs and other access methods||JDBC|
native C library
streaming API for large objects
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
|Supported programming languages||C|
|Server-side scripts Stored procedures||yes||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes sql, plpgsql, C|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning (by range, list and hash)||partitioning by range, list and (since PostgreSQL 11) by hash||Hash and Range Sharding, row-level geo-partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||Source-replica replication other methods possible by using 3rd party extensions||Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Strong consistency on writes and tunable consistency on reads|
|Foreign keys Referential integrity||yes||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes based on RocksDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||no|
|User concepts Access control||Access rights for users, groups and roles according to SQL-standard||fine grained access rights according to SQL-standard||yes|
|More information provided by the system vendor|
|Specific characteristics||YugabyteDB is an open source distributed SQL database for cloud native transactional...|
|Competitive advantages||PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....|
|Typical application scenarios||Systems of record and engagement for cloud native applications that require resilience,...|
|Market metrics||2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...|
|Licensing and pricing models||Apache 2.0 license for the database|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
Percona: Database problems? Not on your watch.
Databases run better with Percona.
Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
DbVisualizer is equipping database professionals with the tools they need to build, manage and maintain state-of-the-art database technologies. It has sky-high user satisfaction and is the preferred tool for database professionals around the world. Customers include Tesla, Apple, Facebook, Deutsche Bank, NASA, and 25,000 others in 145 countries.
The State of PostgreSQL 2022 survey is now open!
pgDash: In-Depth PostgreSQL Monitoring.
Instaclustr: Fully Hosted & Managed PostgreSQL
Aiven for PostgreSQL: The familiar open source PostgreSQL® that you know and love, with no proprietary features or add-ons that will lock you in.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
Snowflake is the DBMS of the Year 2022, defending the title from last year
|Conferences and events|
PGCon 2023, PostgreSQL Conference for Users and Developers
|Recent citations in the news|
An Industrial bank joins Huawei openGauss database community
About HUAWEI Open Source
Huawei's Four Open Source Basic Software Projects Infuse ...
Over 50 New CVE Numbering Authorities Announced in 2022
Take a close look at technology highlights of the 2022 Huawei ...
provided by Google News
What is PostgreSQL?
Securing PostgreSQL from Cryptojacking Campaigns in Kubernetes
Microsoft: Kubernetes clusters hacked in malware campaign via PostgreSQL
Running Apps in Docker, Part 1: Instantiation and Using PostgreSQL
10 Tips to Optimize PostgreSQL Queries in Your Django Project
provided by Google News
Yugabyte simplifies SQL database migration with YugabyteDB ...
Yugabyte Joins the Microsoft Intelligent Data Platform Partner ...
Developing applications that never delete
Why agility and portability have become key drivers of multicloud investments
Yugabyte Announces Release of YugabyteDB 2.17 and Major ...
provided by Google News
Share this page