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Datastory

Freemium
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Datastory is a no-code platform for creating interactive data visualizations, websites, reports, and AI-assisted insights. It is designed for data storytellers, analysts, researchers, journalists, and teams that need to turn structured data into publishable content.

O que é Datastory?

Datastory is a no-code platform for creating and publishing data stories. It combines interactive data visualization, an Open Data catalog, AI-assisted analysis, and publishing tools for charts, websites, reports, dashboards, and embeds.

Users can upload their own data or use Datastory’s Open Data resources, customize visualizations, and turn findings into editable stories. The AI features accept plain-English questions, generate charts and draft story structures, and cite the source rows or tables behind supported claims. Datastory also offers linked data as an Enterprise feature for connecting datasets, defining reusable metrics, and organizing relationships in a knowledge graph.

O que Datastory pode fazer?

Interactive data visualization

Upload data or use open datasets to create customizable interactive visualizations, then publish or embed them. The platform supports chart creation as part of a broader data-story workflow.

AI-assisted analysis and insights

Ask questions in plain English and receive answers with matching charts. Datastory AI can surface spikes, anomalies, trend changes, regime shifts, inflection points, and cross-table correlations.

Grounded, cited answers

AI-generated claims are traced to rows or tables in the available data. When the source does not support an answer, the product states that more data is needed rather than presenting an unsupported citation.

AI-assisted story composition

A prompt can produce a draft story outline, chart-type suggestions, captions, and an assembled visualization. Outputs remain editable so users can review and refine the result before publishing.

Open Data catalog

Datastory provides an Open Data catalog for finding, explaining, and visualizing statistics, with the site describing more than 10,000 metrics from over 300 data sources.

Linked data and reusable metrics

Available as an Enterprise feature, linked data brings datasets into a knowledge graph. Teams can define metrics once, document their sources and methodology, model semantic types, and reuse consistent definitions across stories, dashboards, and embeds.

Casos de uso

“Publish an analysis from a dataset”

An analyst can upload a table, ask a focused question, generate a chart and draft narrative, then edit the output into a publishable data story.

“Build public-facing data explainers”

A newsroom, research group, or public-information team can use interactive charts and the Open Data catalog to explain statistics in a website or embedded presentation.

“Explore relationships across datasets”

An Enterprise team can connect metrics and entities from different datasets, then use linked data and AI-assisted discovery to investigate relationships that are not visible in a single table.

“Maintain consistent organizational metrics”

Teams sharing dashboards, stories, and embeds can define a metric with its source, unit, description, and methodology, then reuse that definition across outputs.

“Create branded data experiences”

Organizations that need their own visual identity can use Professional custom logo and theming or Enterprise full white labeling and custom visualizations.

Perguntas frequentes

Can Datastory be used for free?

Yes. The Starter plan is listed at $0 per month and includes 10 data visualizations, collaboration with up to three team members, access to the open data catalog, and 100 AI credits per month.

What does the Professional plan add?

Professional is listed at $15 per month per user. It includes the Starter features plus unlimited data visualizations, removal of Datastory branding, priority support, and 1,000 monthly AI credits.

Can I publish or embed Datastory visualizations?

Yes. Datastory describes a workflow for publishing or embedding visualizations, and its linked-data feature refers to reuse across stories, dashboards, and embeds.

How does Datastory AI handle unsupported claims?

The AI features are designed to ground claims in the available data and cite source rows or tables. If no source supports a requested claim, Datastory says the system reports that limitation and asks for more data instead of inventing a source.

Does Datastory support teams and enterprise data work?

Yes. The plans include collaboration, with three collaborators on Starter and unlimited collaborators on Professional and Enterprise. Enterprise additionally lists data integration and modelling, custom visualizations, full white labeling, a dedicated account manager, and custom AI credits.

Informações rápidas

Category
No-code data storytelling and visualization platform
Primary users
Data storytellers, analysts, researchers, journalists, and teams
Core outputs
Interactive charts, websites, reports, dashboards, and embeds
AI workflow
Plain-English questions, cited insights, pattern discovery, and editable story drafts
Open Data catalog
10,000+ metrics from 300+ data sources, according to the feature page
Plans
Starter, Professional, and custom Enterprise

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