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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5 results

Apache Spark

Data Plane · Query & Processing Engines

Distributed engine for large-scale data processing, SQL, streaming and machine learning.

  • Open source

DuckDB

Data Plane · Query & Processing Engines

In-process analytical SQL database, popular for local analytics and embedded workloads.

  • Open source

e6data

Data Plane · Query & Processing Engines

Lakehouse compute engine that allocates compute per query rather than by fixed warehouse size, aimed at high-concurrency SQL and AI workloads with no data movement.

  • Commercial

Polars

Data Plane · Query & Processing Engines

Fast DataFrame library written in Rust, with Python bindings.

  • Open source

Trino

Data Plane · Query & Processing Engines

Distributed SQL query engine for querying data where it lives, across many sources.

  • Open source

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