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.

172 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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6 results

Apache Airflow

Control Plane · Orchestration & Scheduling

Open-source platform for authoring, scheduling and monitoring workflows defined as Python DAGs.

  • Open source

Astronomer

Control Plane · Orchestration & Scheduling

Managed Apache Airflow platform for running and observing data pipelines at scale.

  • Commercial

AWS Step Functions

Control Plane · Orchestration & Scheduling

Serverless AWS service for orchestrating multi-step workflows across AWS services.

  • Cloud service

Dagster

Control Plane · Orchestration & Scheduling

Data orchestrator built around software-defined assets, with lineage and observability built in.

  • Open core

Kestra

Control Plane · Orchestration & Scheduling

Declarative, event-driven orchestration platform with workflows defined in YAML.

  • Open core

Prefect

Control Plane · Orchestration & Scheduling

Python-native workflow orchestration framework with a managed cloud service.

  • Open core

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.