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Greater flexibility and cost-effective innovation through open-source database management technology.

Business continuity, with high availability of services through asynchronous or synchronous replication methods across servers.

Deep language support due to its compatibility and support for multiple programming languages, including Python, Java, JavaScript, C/C++ and Ruby.

Concurrency support through the use of multiversion concurrency control (MVCC), which enables the simultaneous occurrence of write operations and reads.

Performance and scalability - including geospatial support and unrestricted concurrency - and deep, extensive data analysis across multiple data types.

These are some of the main benefits of PostgreSQL: It is also ideal for managing the analytics of the data received, created and generated. PostgreSQL offers the ideal solution for enterprise database administrators responsible for managing online transaction processing (OLTP) protocols for business activities, including e-commerce, customer relationship management systems (CRMs) and financial ledgers. PostgreSQL is managed with an object-relational database management system (ORDBMS).

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Built as an open-source database solution, PostgreSQL is completely free from licensing restrictions, vendor lock-in potential or the risk of over-deployment. It is expandable and versatile enough to quickly support a variety of specialized use cases with a powerful extension ecosystem, covering efforts like time-series data types and geospatial analytics. PostgreSQL is a “one-size-fits-all” solution for many enterprises looking for cost-effective and efficient ways to improve their Database Management Systems (DBMS).

Stored procedures to create and retain custom subroutines.Write ahead log (WAL) that logs all changes to the database using tools such as pgBackRest.Point-in-time recovery (PITR) to restore databases to a specific moment in time.It has been called one of the most compliant, stable and mature relational databases available today and can easily handle complex queries.įeatures of PostgreSQL include the following: PostgreSQL supports both non-relational and relational data types. PostgreSQL, also known as Postgres, is an open-source relational database with a strong reputation for its reliability, flexibility and support of open technical standards. The database compiles the query and figures out the correct data points.īoth MySQL and PostgreSQL support JavaScript Object Notation (JSON) to store and transport data, although PostgreSQL also supports JSONB, the binary version of JSON which eliminates duplication of keys and extraneous whitespace.īoth databases offer robust community support in addition to traditional support mechanisms.

#POSTGRESQL SIMILAR HOW TO#

With SQL, analysts do not need to know where the order table resides on disk, how to perform the lookup to find a specific order or how to connect the order and customer tables.

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SQL enables tables to be joined using a few lines of source code with a simple structure that most nontechnical employees can learn quickly. How are PostgreSQL and MySQL similar?īoth PostgreSQL and MySQL rely on SQL (Structured Query Language), the standard language for interaction with management systems. Relational databases enable your business to better understand the relationships among available data and help gain new insights for making better decisions or identifying new opportunities. These tables can be linked - or related - based on data that is common to each. PostgreSQL and MySQL are relational databases that organize data into tables. Similarities and differences in the uses, benefits, features and characteristics of PostgreSQL and MySQL.

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