PostgresML, now with analytics and project management
We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org
PostgresML, now with analytics and project management launched on May 2, 2022 with 444 votes, #18 of 2,942 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 4 years on.
In plain words
PostgresML is an end-to-end machine learning solution that operates within a PostgreSQL database environment. It is designed for data engineers and machine learning practitioners who want to build and deploy models without leaving their database. The platform includes project management tools, dataset visibility, and deployment pipeline decision-making capabilities to streamline the machine learning workflow.
written from the facts on this page · September 2026
From the sources
Run embeddings, vectors, and open-source LLMs on GPU-backed Postgres. Build RAG and ML apps with SQL or the Python and JavaScript SDKs.
You are running a vector database, an embedding service, LLM APIs, and custom glue code before your app can answer a single user question. Separate stacks mean more incidents, slower responses, longer release cycles, and higher spend on inference and search vendors. Your data crosses several vendors and networks, which makes security reviews, retention rules, and compliance harder to prove. PostgresML keeps vectors, models, and application data in one GPU-backed database so you ship RAG and ML features with fewer moving parts. Run the same Python, JavaScript, or SQL examples against hosted open-source models before you deploy to your own cluster. Pay for the models and compute you use, with…from postgresml.org
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