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  • PostgresML is a PostgreSQL extension enabling in-database machine learning for training and inference.
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    What is PostgresML?
    PostgresML is an extension for the PostgreSQL database server that enables end-to-end machine learning inside your database. It allows users to build, train, and deploy ML models directly within PostgreSQL, eliminating the need for data movement between systems. By using SQL queries, users can perform training and inference on both text and tabular data, maximizing data privacy and security while reducing latency and improving performance.
    PostgresML Core Features
    • In-database machine learning
    • SQL-based model training
    • Inference on text and tabular data
    • Integrated data security
    • No data movement required
    PostgresML Pro & Cons

    The Cons

    Does not currently support direct integration with some remote LLM providers like OpenAI
    Self-hosting might require Docker and PostgreSQL knowledge
    Primarily designed for users familiar with PostgreSQL and SQL

    The Pros

    In-database ML and AI operations eliminate the need to move data
    Supports GPU acceleration for faster computations
    Integration with state-of-the-art large language models via Hugging Face
    Built-in Pipeline for Retrieval-Augmented Generation (RAG)
    High scalability and support for millions of transactions per second
    Wide range of supported ML algorithms and NLP tasks
    Open-source with an active community
    PostgresML Pricing
    Has free planYES
    Free trial details
    Pricing modelFree
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://postgresml.org
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