Build AI Apps in Postgres

Dec 30, 2023 ·

PostgresML is a new open-source project created to provide machine learning capabilities for PostgreSQL. The project was developed by the experts at the PostgreSQL Global Development Group (PGDG). The aim of PostgresML is to provide an easy and convenient way for developers to use machine learning models with PostgreSQL databases. It provides a powerful suite of features, including tools for data processing, model training, and deployment.

At the heart of PostgresML is its machine learning library (MLlib). This library is written in Python and contains a set of easy-to-use APIs that enable developers to quickly get started with their machine learning projects. It also provides support for popular frameworks such as TensorFlow, Keras, and PyTorch. Furthermore, the library includes functions for data pre-processing, model training, and prediction.

The project also includes a web-based graphical interface called pgAdmin4. This user-friendly UI makes it easy for developers to view and manage their data. It allows users to upload data files, execute queries, and run machine learning models. Additionally, through the UI, users can customize their models and even deploy them in production.

In addition to MLlib, PostgresML provides support for various other tools and libraries, including a connector that enables users to access Google BigQuery from their PostgreSQL databases. Another useful feature is the SQL/JSON extension, which simplifies the integration of data stored in different formats. Finally, it includes an API for scaling up machine learning models in production.

Overall, PostgresML is a powerful tool for developing and deploying machine learning applications quickly and efficiently. It provides easy access to a wide range of machine learning tools, libraries, and services, making it perfect for developers who are looking for an easy and convenient way to use machine learning with PostgreSQL databases.