Streamline your data management process with the PostgreSQL + Amazon Redshift integration

PostgreSQL is an open-source, object-relational database management system (ORDBMS) that is not owned or controlled by one company or individual. Because PostgreSQL software is open-source, it is managed mostly through a coordinated online effort by an active global community of developers, enthusiasts, and other volunteers.

An enterprise class database, PostgreSQL boasts sophisticated features such as Multi-Version Concurrency Control (MVCC), point in time recovery, tablespaces, asynchronous replication, nested transactions (savepoints), online/hot backups, a sophisticated query planner/optimizer, and write ahead logging for fault tolerance.

PostgreSQL supports international character sets, multibyte character encodings, Unicode, and it is locale-aware for sorting, case-sensitivity, and formatting. It is highly scalable both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate. There are active PostgreSQL instances in production environments that manage many terabytes of data, as well as clusters managing petabytes

Amazon Redshift is a data warehouse product that is part of the largest Amazon Web Services cloud computing platform.

Amazon Redshift simplifies the processes to obtain new detailed information from all data. With Amazon Redshift, companies can query petabytes of structured and semi-structured data throughout their warehouse.

Amazon Redshift allows companies to easily save the results of all your queries on the S3 data lake using open formats such as Apache Parquet to perform further analyzes from other services such as Amazon EMR, Amazon Athena, and Amazon SageMaker.