Linked data • Enterprise feature
Unify different datasets into a coherent knowledge graph. Let AI find connections you never knew existed.
Unify different datasets into a coherent knowledge graph. Let AI find connections you never knew existed.
Contact usReusable metrics
"CO₂ per capita, tons/year" should mean the same thing on every page, in every dashboard, across every team. Define a metric once and it stays consistent across your whole workspace.
One source of truth per metric, across stories, dashboards and embeds
Versioned definitions with change history
Per-metric documentation, sources and methodology
Auto-updates everywhere if changes are made
METRIC DEFINITION
CO₂ per capita
Data source
World Bank
Topic
Climate
Description
Emissions per resident
Unit
tons / year
The aging society
Story · Report
Regional climate report
Story · Internal
EU vs Sweden
Story · Presentation
2030 climate target
Dashboard
Northern regions experience longer wait times in healthcare, but report higher satisfaction than southern regions.
Cities that added 50+ km of protected bike lanes saw commute emissions drop by 22% within five years.
Cities with more public libraries per capita show literacy scores 11 points above the national mean.
Discover connections
A single dataset lacks context. The interesting connections and insights can only be discovered by looking at the bigger picture. With linked data, interesting stories is just a click away.
Combine multiple metrics and dimensions to uncover new insights
AI scans your data for crossovers worth a story
Every finding is grounded in your sources
Combine your data with Datastory's Open Data for even richer insights
Built-in semantic types
A spreadsheet column is just a label on a container, leaving the data with no idea what it is. A semantic type tells the system what your data actually means. The data carries its own validation, its own operations, its own rendering. With Datastory, you can build schemas using strings, numbers, dates, media, relationships and more.
A spreadsheet column is just a label on a container, leaving the data with no idea what it is. A semantic type tells the system what your data actually means. The data carries its own validation, its own operations, its own rendering. With Datastory, you can build schemas using strings, numbers, dates, media, relationships and more.
SPREADSHEET / SQL COLUMN
Just a label on a column
foundedcirca 1990
title"CO2 emissions"
price_range"10-250" / two cols
data_sourceFK_42 / VLOOKUP(…)
logo"logo-12.jpg"
SEMANTIC TYPE
Meaning travels with the data
Jan 1, 1990
CO2 emissions
€10
€250
World Bank
01
The data knows what it is
A value typed as Date isn't just formatted as a date. It is one. The meaning travels with the data, not the column name.
02
Operations come for free
Sort dates chronologically, render Location on a map, validate URL shapes. No formulas, no glue code, no formatting tricks.
03
Relationships are real links
No more VLOOKUP, foreign keys or duplicated values. A Relationship is a first-class connection: traversable, queryable, updatable.
04
Validation is structural
Bad data isn't flagged after the fact. It's structurally impossible. The type enforces what the value can be, not a formula bolted on later.
Under the hood
A knowledge graph is an interlinked semantic network of real-world entities (people, places, concepts, or events). Organizing data this way enables systems to understand context, uncover hidden connections, and drive intelligent search.
A knowledge graph is an interlinked semantic network of real-world entities (people, places, concepts, or events). Organizing data this way enables systems to understand context, uncover hidden connections, and drive intelligent search.
Answer every question with context
By connecting fragmented, siloed data sources into a unified, queryable "data fabric" you will always have access to rich context.
Hidden connections, surfaced
The engine spots datasets that share common dimensions and proposes joins you didn't think to look for.
One source of truth
Define a metric, data source or any other concept once and it stays consistent across your whole workspace.
All platform features
Each tool helps transform data into publishable stories, with support for structure, context, and clarity at every step.
Each tool helps transform data into publishable stories, with support for structure, context, and clarity at every step.
Join data journalists, researchers, and analysts creating compelling visualizations that inform, engage, and drive action.