| Field | Details |
| Name | PostgresML |
| Overview | PostgresML is an open-source extension for PostgreSQL that adds machine learning capabilities directly into the database environment. This integration allows users to train, deploy, and serve machine learning models using SQL commands, which removes the need to transfer data between separate systems. With support for over 50 algorithms and compatibility with large language models from Hugging Face, PostgresML offers scalable and efficient solutions for machine learning tasks. Its serverless, dedicated, and enterprise pricing options cater to a variety of deployment needs. |
| Main features | – In-database machine learning using SQL – Access to over 50 machine learning algorithms – Integration with Hugging Face models – Vector database capabilities for embedding storage and retrieval – Flexible deployment options: serverless, dedicated, and enterprise |
| Benefits | – Reduces data transfer needs and latency – Enhances data security by keeping processing within the database – Scalable machine learning directly in PostgreSQL – Supports advanced use cases like semantic search and text generation |
| Role of use | – Model training directly within PostgreSQL – Real-time predictions through SQL – Embedding storage and retrieval for applications like semantic search |
| Target audience | Data scientists, machine learning engineers, database administrators, software developers |
| Pricing | – Serverless: Starting at $7.50 per query hour – Dedicated: Starting at $0.60 per instance hour – Enterprise: Custom pricing available for large-scale teams |
| Tags | Machine Learning, PostgreSQL, AI, SQL-based ML, Vector Database |
| App available? | No, you can only use PostgresML on website platforms. |
PostgresML
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Introduction
PostgresML is an open-source extension for PostgreSQL that brings machine learning directly into the database using SQL. It simplifies workflows by eliminating data transfers, enabling efficient and scalable in-database machine learning.
Category: Databases
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