AI & ML Plane

AWS service for building, training and deploying machine learning models.

• Cloud service

Azure service covering the end-to-end machine learning lifecycle.

• Cloud service

Google Cloud platform for building and deploying ML models and generative AI applications.

• Cloud service

Kubeflow

AI & ML Plane · ML Platforms & Lifecycle

Open-source toolkit for running machine learning workflows on Kubernetes.

• Open source

MLflow

AI & ML Plane · ML Platforms & Lifecycle

Open-source platform for experiment tracking, model registry and GenAI evaluation, created by Databricks.

• Open source

Feast

AI & ML Plane · Feature Stores

Open-source feature store for serving machine learning features in training and production.

• Open source

Hopsworks

AI & ML Plane · Feature Stores

Data platform for AI with a feature store, sold as a managed service and self-managed on Kubernetes. The AGPL platform source sits two major versions behind the shipped product; only the Python client is currently open source.

• Open core

Feature platform for real-time machine learning features. Acquired by Databricks in August 2025; tecton.ai now redirects to Databricks and the documentation site is the only live product surface.

• Commercial

Milvus

AI & ML Plane · Vector Databases & Search

Open-source vector database built for large-scale similarity search.

• Open source

pgvector

AI & ML Plane · Vector Databases & Search

PostgreSQL extension for vector similarity search.

• Open source

Fully managed vector database for similarity search and retrieval-augmented generation.

• Commercial

Qdrant

AI & ML Plane · Vector Databases & Search

Open-source vector search engine written in Rust, with a managed cloud offering.

• Open core

Weaviate

AI & ML Plane · Vector Databases & Search

Open-source vector database with hybrid search, also available as a managed cloud.

• Open core