Turn unstructured & siloed data into unified
‍analytics

The open-source universal semantic layer for data teams
to deliver trusted data for every use case

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What is a universal semantic layer?

A universal semantic layer is an independent yet interoperable part of the modern data stack that sits between your data sources and data consumers. The universal semantic layer allows every data endpoint, to work with the same semantics and underlying data, leading to consistent and trusted insights for informed business decisions.

Capabilities

Plank: Semantic Layer

The Problem:
Decentralised data models, definitions, and controls over data access create data chaos

The typical enterprise uses more than 6 BI tools and pulls from hundreds of data sources, each with its own access controls and data models. These systems don’t sync or align, leading to confusion and causing your team to lose trust in the data.

The Solution:
Centralise with a semantic layer and rebuild trust

Think of it as a central control hub for your company’s data—a semantic layer that handles data modeling, manages access, and delivers consistent data and metrics to all your BI tools, data apps, and AI/LLM systems.

Asset Discovery

Browse all assets in your active data source and filter them by type. This view also displays any open incidents and assigned ownership for each asset, providing a clear overview.

Lineage

Provide clarity on data origin, transformations, and usage across your landscape.

Business Glossary

Bridge the gap between data and business by creating a shared vocabulary for clear insights.

Data Ownership

In a data mesh architecture, domains enable clear ownership by assigning specific data owners to each domain. This approach organises data by business areas, making it easier to discover and access relevant data assets.

Domain

Within domains, create data products that combine curated information from various data assets. This simplifies access to relevant data for users and transforms the data products into a shared resource, enhancing collaboration across teams.

Data Products

Within domains, create data products that bundle curated information from multiple data assets. This simplifies access to relevant data for users and serves as a shared resource, promoting better collaboration across teams.

Critical Data Assets

Our Governance module effectively safeguards your critical data assets, ensuring regulatory compliance and maintaining data privacy throughout your organisation.

Policy Management

View a complete list of all assets categorised under a specific policy, whether identified through automatic classification or manually added in the Catalog.

Access-Control

Access controls in the Photon Data workspace are based on user permissions assigned to specific groups to prevent unauthorised access.

Incident Management

By integrating our platform with Microsoft Teams or Slack, you'll always stay informed about failed tests or unexpected data issues, ensuring nothing goes unnoticed.

Anomaly Detection

Use an intelligent detection model to assess how anomalies could potentially affect downstream data assets.

Data Quality

On-demand: Easily run tests and perform manual checks instantly if you suspect any data quality issues.

Custom Scheduling: Set up data quality tests on a schedule that fits your needs. You can choose to run them daily, weekly, or at any custom interval that works best for you.