UDPUDPUnified Data PlatformYour guide to the data platform world

Data tooling landscape

A neutral map of the tools used to build data platforms, organised by the plane they serve: from orchestration and storage to governance, security and AI.

152 tools · 10 planes · 37 categories. Listings are editorial and unpaid; any sponsored placement will always be labelled.

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Planes
Categories

Control Plane

Data Plane

Integration & ETL Plane

Data Quality Plane

Observability Plane

Metadata Plane

Data Governance Plane

Security Plane

Visualisation & BI Plane

AI & ML Plane

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5 results

Amazon SageMaker AI

AI & ML Plane · ML Platforms & Lifecycle

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

  • Cloud service

Azure Machine Learning

AI & ML Plane · ML Platforms & Lifecycle

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

  • 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

Vertex AI

AI & ML Plane · ML Platforms & Lifecycle

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

  • Cloud service

Missing a tool?

The landscape is curated editorially for now; public submissions open later. Inclusion is never paid for, and any sponsored placement will be clearly labelled.