Running Distributed Computing Jobs with PostgreSQL Data

PostgreSQL

PostgreSQL (a.k.a. Postgres) is a free and open-source relational database management system that is widely used by developers. It is highly customizable and has many useful features for developers. PostgreSQL is one of the most widely-used free and open-source relational database management systems that focus primarily on SQL compliance and extensibility. PostgreSQL offers true community-driven development, extensibility, strong SQL compliance, and useful features such as table inheritance and function overloading.

Distributed Computing

Distributed computing technology refers to a system where multiple computers work together to solve a problem. It allows for parallel processing of data across multiple machines, which can lead to faster processing times. Distributed computing technology has become increasingly popular due to the rise of big data. It allows for the processing of large amounts of data that would be too large for a single machine to handle. Some examples of distributed computing technologies include Apache Hadoop, Apache Spark, and Apache Flink.

With the growing popularity of both PostgreSQL for data storage and distributed computing for compute workloads, it is unsurprising that many organizations are seeking to run distributed computing jobs with PostgreSQL data. Kaspian offers a native connector for this operation. Just register your PostgreSQL datastore and link your Distributed Computing job; Kaspian's autoscaling compute layer makes it easy to crunch through any data in your cloud with minimal setup or management.

Learn more about Kaspian and see how our flexible compute layer for the modern data cloud is already reshaping the way companies in industries like retail, manufacturing and logistics are thinking about data engineering and analytics.