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Business Intelligence & Dashboards

Datawrapper

EU-Made Report an error

Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: not determined

0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.

by Datawrapper GmbH · www.datawrapper.de

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Datawrapper: AI-assisted analysis on whats-best.ai Datawrapper: AI-assisted analysis on whats-best.ai (dark)

Add ?theme=dark to the image address for dark backgrounds. The badge shows the category and the month of the latest evaluation, and EU-Made where that is the product’s provenance. It never shows a score.

Datawrapper at a glance

Vendor
Datawrapper GmbH
Headquarters
Not stated on the vendor’s pages as of 1 Nov 2026
Data hosting
Not stated on the vendor’s pages as of 1 Nov 2026
Free plan
Not stated on the vendor’s pages as of 1 Nov 2026
Panel verdict
The AI panel rates Datawrapper 2.5/5, the mean of 6 judges. Datawrapper GmbH is a self-funded Berlin company that publishes charts, maps and tables one visualization at a time. how scores are made
As of
Vendor pages captured 1 Nov 2026; evaluated by the panel 1 Nov 2026. all sources

Datawrapper alternatives, European ones first →

Read this page as one judge. Each weighs the same scores by what they care about.

The Skeptic

Weighted verdict

Has seen "connect any data source" on a tool with eight connectors and a CSV upload, "self-service" that ends with every department defining revenue its own way, "free viewers" that need a paid licence to open a shared link, and "AI insights" that never show the query. Asks where the extracts are stored, whether dashboards and definitions can be exported in a format another tool reads — and what leaving would cost.

Same scores as the panel view — this lens weights them the way this judge cares.

Scored by The Skeptic

Panel median The Skeptic This judge’s scores over the panel median. Each label opens its reasoning below.
Scores per criterion, in stars out of 5
Criterion Panel median The Skeptic
Data sources, connectors & refresh 2 of 5 2 of 5
Dashboards, charts & interactivity 2.5 of 5 2.5 of 5
Self-service analysis & shared metrics 1.5 of 5 1.5 of 5
Sharing, scheduled reports & embedding 3 of 5 3 of 5
Access control, administration & portability 2.5 of 5 2.5 of 5
European sovereignty 3.5 of 5 3.5 of 5
Pricing transparency 2 of 5 1.5 of 5

Data sources, connectors & refresh

How this is scored

Which data the product can reach and how it stays current: native connectors to databases and warehouses (PostgreSQL, MySQL, SQL Server, BigQuery, Snowflake), to business applications (accounting, ERP, CRM, shop, help desk, ad platforms) and to files and spreadsheets (Excel, CSV, Google Sheets), live queries versus imported extracts, scheduled and incremental refresh with its minimum interval, joining data from several sources, light data preparation, access to databases behind a firewall (gateway, SSH tunnel, IP allow-list), and a generic REST or custom connector for what is not listed.

0 — Not a reporting product, or data can only be typed or pasted in by hand.

3 — Spreadsheet and file uploads plus a handful of named connectors; refresh schedules, live queries and blending sources are basic or not described.

5 — A published connector list covering the common databases, warehouses, spreadsheets and several named business applications, scheduled refresh with its interval stated, live queries or extracts at the customer's choice, data from two sources combined in one report, and a documented way to reach a database behind a firewall.

8 — Hundreds of maintained connectors or a full SQL layer over every major warehouse, incremental refresh and caching explained, a built-in data preparation or modelling step, a gateway or agent for on-premise sources, a generic REST or custom connector SDK, and connector limits (rows, API calls, history) stated per plan.

10 — Connectivity an organisation can standardise on: every source reachable live or by extract with the trade-offs documented, refresh down to minutes with lineage from report back to source, source changes detected and reported, and connector behaviour, quotas and failure handling published.

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The Skeptic

Data arrives four ways: pasted in, XLS/CSV upload, a linked Google Sheet that refreshes only when you open the visualization (published charts need a manual republish), or a link to any external CSV source that auto-updates published charts without republishing — that last one is real and documented, down to choosing whether the Datawrapper CDN or your own server serves the data. We found no public information on connectors to databases, warehouses or business applications, on scheduled refresh with its interval, on combining several sources in one report, or on reaching a database behind a firewall. This is a charting tool's data diet, documented honestly as such. 11 12 13

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Dashboards, charts & interactivity

How this is scored

What can be built and how readers use it: the range of chart types, tables and pivot tables, maps, KPI tiles with targets and comparisons, dashboard layout, filters and date controls that apply across a dashboard, drill-down and drill-through, cross-filtering by clicking a chart, templates for common sources, mobile and TV display, theming to the company's design, number formatting and localisation (decimal comma, currencies, German date formats), and accessibility of the result.

0 — No charts or dashboards; the product only stores or moves data.

3 — Standard bar, line and pie charts and a table on a dashboard; filters, drill-down and mobile display are basic or not described.

5 — A broad chart library with pivot tables, maps and KPI tiles with comparison to a previous period or target, dashboard-wide filters and date ranges, drill-down, templates for common sources, a mobile view, and number and date formats localised.

8 — Cross-filtering and drill-through between dashboards, custom visuals or a chart SDK, conditional formatting and annotations, dashboards themed to a brand, TV and presentation modes, pixel-exact or paginated reports for print, and accessibility of charts documented.

10 — Dashboards that a whole organisation reads daily: every interaction (filter, drill, cross-filter, parameter) available to readers without editor rights, performance on large data stated, accessibility conformance (WCAG) published, and every chart reproducible from a documented query.

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The Skeptic

The chart library is genuinely deep: 27 named visualization types including waterfall, dual-axis and election donuts, three map types with more than 4000 basemaps, flexible tables with heatmaps, search, pagination and mini-charts, annotations, and theming down to custom fonts, CMYK print colours and dark-mode equivalents — with responsive display and a built-in accessibility checker. But everything is one visualization at a time: we found no public information on a dashboard canvas combining several charts with shared filters and date controls, drill-down, cross-filtering, or KPI tiles with targets. Superb single charts; the multi-chart dashboard with reader interactivity is not something the captured pages describe. 1 2 13 14

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Self-service analysis & shared metrics

How this is scored

Whether people outside the data team can answer their own questions and whether everyone gets the same answer: a visual query builder, a SQL editor for analysts, calculated fields and formulas, a semantic layer or data model where metrics such as revenue or churn are defined once and reused, metric definitions under version control (Git, dbt integration), questions in natural language with the generated query shown, forecasting and anomaly detection with the method stated, and notebooks or Python for deeper analysis.

0 — Dashboards can only be viewed; no one can ask a new question of the data.

3 — Charts are configured from a field list and simple calculated fields; shared metric definitions, SQL and a query builder are basic or not described.

5 — A visual query builder for business users and a SQL editor for analysts, calculated fields and formulas, saved questions reused across dashboards, a data model or dataset layer where joins and metrics are defined once, and natural-language questions that show the query they ran.

8 — A semantic layer with governed metrics and dimensions reused across every report, definitions in code under Git version control or synced with dbt, certified or endorsed datasets, forecasting and anomaly detection with the method stated, and Python or notebook analysis beside the dashboards.

10 — Self-service that stays consistent at scale: every metric defined once and traced to every chart that uses it, changes reviewed and tested before they reach readers, AI answers grounded in the semantic layer with their limits documented, and the model exportable in an open format.

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The Skeptic

Anyone can build a chart themselves through a step-based editor with live preview, starting from pasted or uploaded data — genuine self-service visualization, unlimited even on the free plan. We found no public information on calculated fields and formulas, a SQL editor, a visual query builder, a shared metric layer where revenue is defined once, or natural-language questions that show the query they ran. Everyone can make their own chart; nobody is documented as being guaranteed the same governed number. 1 4 12

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Sharing, scheduled reports & embedding

How this is scored

How results reach the people who need them: sharing a dashboard with colleagues and with external parties, public or password-protected links, scheduled reports by email or chat (Slack, Microsoft Teams) as PDF, image or data, threshold alerts, comments and annotations, export to PDF, PowerPoint and Excel, embedding dashboards in an intranet, a website or the company's own software product, white-label options, and per-customer data separation for embedded use.

0 — Results cannot leave the editor; no sharing, export or embedding.

3 — Dashboards shared with other users of the account and exported to PDF or CSV; scheduled reports, alerts and embedding are basic or not described.

5 — Sharing with colleagues and by link, scheduled email reports with PDF or image, alerts when a metric crosses a threshold, export to PDF and Excel, and dashboards embedded in a website or intranet with an iframe or script.

8 — Reports delivered to Slack or Microsoft Teams, comments and annotations on dashboards, signed embedding with row-level filtering per viewer, an embedding SDK for a software product with white-label styling, client or guest portals, and an embedding licence model documented.

10 — Distribution as a product: multi-tenant embedded analytics with per-customer data isolation, theming and custom domains, end-user self-service inside the host application, every delivery channel automatable through an API, and usage of shared and embedded content reported to the customer.

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The Skeptic

Publishing is where this tool earns its keep: share links with versioned URLs, comments with notifications, PNG/PDF/SVG export, a PowerPoint add-in that updates an entire deck with one click, licensed themes that switch off the vendor attribution, and a deep embedding story — responsive iframe, web-component script embed with style isolation and a no-script image fallback, oEmbed, AMP, custom embed code templates, a programmatic render function, publish webhooks, and self-hosting of published visuals on your own domain. We found no public information on scheduled email or chat delivery, alerts when a metric crosses a set value, or Excel export — distribution stops at publishing. 2 3 13 15 16

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Access control, administration & portability

How this is scored

What a company needs before it gives the tool to everyone, and what leaving would cost: roles and folder or workspace permissions, row-level and column-level security, single sign-on (SAML, OpenID Connect) and user provisioning (SCIM), audit logs and usage analytics, content certification and lifecycle, environments for development and production, a public REST API for administration and content, export of dashboards and definitions in a reusable format, open-source code, and a self-hosted or on-premise edition the customer runs on its own servers.

0 — A single shared login with no permissions; dashboards cannot be exported or administered.

3 — Users with view and edit rights; row-level security, single sign-on, an API and export of definitions are basic or not described.

5 — Roles and folder or workspace permissions, row-level security documented, single sign-on on at least one stated plan, an audit log, a documented REST API, and dashboards and data exportable on termination.

8 — Column-level security and data permissions inherited from the source, SAML and SCIM provisioning, usage analytics for admins, development and production environments or content promotion, dashboards and definitions as code that can be versioned and moved, and a self-hosted or on-premise edition with its own documentation.

10 — Governance and an exit that can be verified: open-source code under a named licence that runs fully self-hosted with feature parity stated, every object (data model, dashboards, permissions) exportable in a documented format another instance imports, audit logs streamed to the customer's own systems, and deletion of every copy on termination documented.

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The Skeptic

Workspace roles run from read-only guest to admin, with per-team read-only access and publish-blocking on Business and Enterprise, SAML/OIDC single sign-on on Enterprise with required invitations, a documented REST API with scoped personal access tokens, tiered edit history, and a free SQL dump of all your data on termination — published visualizations even stay online after cancellation. We found no public information on audit logs, SCIM provisioning, row-level security, or export of chart definitions in a format another tool reads. Leaving is cheap and documented; verifying who did what inside is not. 5 9 10 17 18

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European sovereignty

How this is scored

Who the contracting entity and the parent company are, where the connected business data is queried, cached, extracted and stored, and who the subprocessors are (hosting, query engine, AI model providers, email delivery of reports, support and payment tools). Independently sourced by the sovereignty pipeline; a BI tool reads revenue, customer and employee data from many systems, so every place a copy or cache lands counts, not only the account database. A self-hosted or open-source edition the customer runs on its own European servers counts as the customer's chain, whatever the vendor's seat.

0 — Non-EU vendor and contracting entity, hosting unstated, subprocessors unnamed, and no data processing agreement offered.

3 — A privacy policy and a data processing agreement exist, but hosting location is unstated or non-EU and the subprocessors are not listed.

5 — EU hosting available and an EU contracting entity or EU representative, but parts of the chain (query engine, extracts and caches, AI features, report emails, support, payment) run through non-EU providers without a stated safeguard.

8 — EU hosting on named infrastructure, EU contracting entity, subprocessors listed with their locations, a data processing agreement published, where extracts and caches are stored stated, and security certifications (ISO 27001, SOC 2) stated — or a self-hosted edition documented that keeps every query and cache on the customer's own servers.

10 — Sovereign end to end and evidenced: European ownership, entity, hosting and every subprocessor including AI features, or a self-hosted open-source edition with no call home, data export and deletion documented, and certifications published with their scope rather than implied.

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The Skeptic

A German GmbH in Berlin under German law, self-funded by three named German owners, hosting on named AWS regions in Frankfurt and Stockholm, ISO 27001 certified with yearly audits and at least annual penetration tests, a downloadable certificate, and a named subprocessor list (AWS, Stripe, ChargeBee, HelpScout, MailerLite). The captured pages give different figures for where published charts are stored: the security page says user data never leaves the EEA, while the privacy policy places published charts in AWS us-east-1, Virginia — and we found no public information on a published data processing agreement. To the credit side, embedded charts set no cookies, track nothing, and are Do-Not-Track by default, which is verifiable and rare. 4 6 7 9 10

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Pricing transparency

How this is scored

Whether a buyer can compute the real annual cost from public pages alone: price per creator or editor seat and whether viewers are free or paid, capacity or usage pricing (rows, refreshes, queries, AI credits), which features (row-level security, SSO, embedding, API, more connectors, faster refresh) sit behind a higher tier or "contact sales", the price of embedding for external users, the self-hosted edition's licence, the free tier and its limits, minimum term and setup.

0 — No public prices at all; every customer is a sales call.

3 — A starting price or a free tier exists, but how cost scales with viewers, data volume or features is unclear.

5 — Tiers are public with their seat price and main inclusions, but at least one commonly needed piece (viewer seats, row-level security, SSO, embedding, extra connectors or refresh frequency) is unpriced or "on request".

8 — Every tier priced publicly with its scaling rule (creators, viewers, capacity, rows), viewer pricing stated, add-ons and usage overage priced, embedded and self-hosted pricing stated, minimum term and VAT treatment stated.

10 — Complete price computability: annual cost derivable for a given number of creators and viewers, data volume and feature set, with every add-on, embedding, setup, support and overage fee and the cancellation and data-return terms published.

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The Skeptic

The free tier is unusually clear — unlimited create, publish, embed and PNG export; read-only users fully free and never counted against licences; the API free for up to 500 Create, 1,000 Publish and 3,000 Export operations per month; a 20% nonprofit discount on annual and monthly paid plans; VAT treatment, terms, and cancellation all stated. What never appears is a price: we found no public information on the seat price of any paid tier, the cost of a custom theme, or the rate of the API's credit-based billing. A buyer can price the free plan and nothing else. 4 5 10 14 18

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European sovereignty — proven facts

0 of 6 dimensions proven

Built only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.

Hosting location Not determined ⚠ unverified — uncited Report an error
Hosting options Not determined ⚠ unverified — uncited Report an error
Open source Not determined — uncited Report an error
Data processing agreement Not determined — uncited Report an error
Transfer impact assessment Not determined ⚠ unverified — uncited Report an error

Questions about Datawrapper

Is Datawrapper European?

Yes. whats-best.ai classifies Datawrapper as EU-Made.

Where does Datawrapper store data?

Not stated on the vendor’s pages as of 1 Nov 2026.

Does Datawrapper have a free plan?

Not stated on the vendor’s pages as of 1 Nov 2026.

What are the best alternatives to Datawrapper?

As of 1 Nov 2026, the panel rates Metabase (3.5/5), Preset (Apache Superset) (3.5/5) and Holistics (3/5) highest among the other 15 Business Intelligence & Dashboards products evaluated. Ratings that look equal are rounded to half stars; the order uses the unrounded rating, then the name. The highest-rated European alternative is Luzmo (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: how scores are made. The full list, with European products first: Datawrapper alternatives.

Where this could be wrong

What we left out

A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.

Do you know more about Datawrapper? Tell us Report an error on this page

Sources (19)

The pages every claim on this page was read from — each one checked, dated, and kept verifiable.

  1. 1 Vendor homepage www.datawrapper.de Checked 1 Nov 2026 Details →
  2. 2 Features page www.datawrapper.de Checked 1 Nov 2026 Details →
  3. 3 Features page (PowerPoint integration) www.datawrapper.de Checked 1 Nov 2026 Details →
  4. 4 Pricing page www.datawrapper.de Checked 1 Nov 2026 Details →
  5. 5 API documentation www.datawrapper.de Checked 1 Nov 2026 Details →
  6. 6 Legal notice www.datawrapper.de Checked 1 Nov 2026 Details →
  7. 7 Privacy policy www.datawrapper.de Checked 1 Nov 2026 Details →
  8. 8 Data policy (embedded charts) www.datawrapper.de Checked 1 Nov 2026 Details →
  9. 9 Security / trust page www.datawrapper.de Checked 1 Nov 2026 Details →
  10. 10 Terms of service www.datawrapper.de Checked 1 Nov 2026 Details →
  11. 11 Data sources, connectors & refresh — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
  12. 12 Data sources, connectors & refresh — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
  13. 13 Dashboards, charts & interactivity — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
  14. 14 Dashboards, charts & interactivity — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
  15. 15 Sharing, scheduled reports & embedding — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
  16. 16 Sharing, scheduled reports & embedding — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
  17. 17 Access control, administration & portability — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
  18. 18 Access control, administration & portability — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
  19. 19 Code repository (open-source licence) — found from the homepage github.com Checked 1 Nov 2026 Details →