Business Intelligence & Dashboards
Datawrapper
EU-Made Report an error0–5 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 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
Read this page as one judge. Each weighs the same scores by what they care about.
The panel's verdict
Datawrapper GmbH is a self-funded Berlin company that publishes charts, maps and tables one visualization at a time. Highest scores go to sharing and embedding, from web-component script embeds to self-hosting published visuals on your own domain, and sovereignty: ISO 27001, AWS Frankfurt and Stockholm, named subprocessors, tracking-free embeds. Weakest is self-service and modelling, a flat 3: we found no public information on a SQL editor, a query builder or shared metric layer. Data connectivity scores 3-4: paste, XLS/CSV upload, Google Sheets and auto-updating external CSV only; we found no public information on connectors to databases or warehouses. Pricing transparency scores 3-4: the free plan is well specified, read-only users never count toward licences, but tiers Single, Team, Pro, Business and Enterprise carry no euro figures. Ranges stay within one point; on dashboards and visualization the spread weighs the absent multi-chart dashboard against 27 named visualization types. The captured pages give different figures for published-chart storage — user data never leaves the EEA per the security page, versus AWS us-east-1, Virginia in the privacy policy.
Speaks for it
- Sharing and embedding scores 6-7, covering script embeds with style isolation, responsive iframes, oEmbed, a PowerPoint add-in and self-hosting of published visuals on your own domain
- Sovereignty scores 6-7, with German law, ISO 27001 certification, yearly audits, penetration tests and a named subprocessor list (AWS, Stripe, ChargeBee, HelpScout, MailerLite)
- The free plan allows unlimited create, publish, embed and PNG export, with read-only users fully free and never counted toward paid licences
- Exit is documented — a free SQL dump of all data, and published visualizations stay online after cancellation
- The visualization library spans 27 named types, three map types and more than 4000 basemaps, with a built-in accessibility checker and CMYK print variations
Held against it
- Self-service and modelling sits at a flat 3, and we found no public information on a SQL editor, a visual query builder or a shared metric layer
- Data connectivity scores 3-4, and we found no public information on connectors to databases, warehouses or business applications
- Pricing transparency scores 3-4, with paid tiers Single, Team, Pro, Business and Enterprise named but no public euro figures for seats, a custom theme or API credits
- We found no public information on multi-chart dashboards, cross-filtering, drill-down, scheduled email reports, Slack or Teams delivery, or threshold alerts
- The captured pages give different figures for where published charts are stored, and we found no public information on a published data processing agreement
Best for
- You publish charts, maps and tables to websites, documents or decks and need embeds that set no cookies and update automatically from an external CSV source without republishing
- Your team builds visualizations without analysts and wants a free plan with unlimited creation where read-only viewers cost nothing and never count toward licences
- You need a documented exit before committing — a free SQL dump of all data, and visualizations that stay online after cancellation
- You need a European vendor for a compliance review — self-funded, German law, ISO 27001 with yearly audits, named subprocessors
Avoid if
- Your daily surface is a dashboard of several charts with shared filters, drill-down and KPI tiles — the documented product builds one visualization at a time
- You need data flowing from a database or warehouse — the documented ways in are paste, XLS/CSV upload, a Google Sheet and an external CSV
- You must price paid seats before signing — ask the vendor: the public pages we read do not show it
- Your published charts must stay within the EEA — the privacy policy states published charts are stored on AWS in us-east-1, Virginia, while the security page says user data never leaves the EEA
The scores
| Criterion | Panel median |
|---|---|
| Data sources, connectors & refresh | 2 of 5 |
| Dashboards, charts & interactivity | 2.5 of 5 |
| Self-service analysis & shared metrics | 1.5 of 5 |
| Sharing, scheduled reports & embedding | 3 of 5 |
| Access control, administration & portability | 2.5 of 5 |
| European sovereignty | 3.5 of 5 |
| Pricing transparency | 2 of 5 |
Data sources, connectors & refresh
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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.
The Finance Controller
Data gets in four documented ways: copy and paste, XLS/CSV upload, a linked Google Sheet, or an external dataset, and a chart wired to an external CSV source updates automatically after publishing without a republish. We found no public information on connectors for databases, warehouses or business systems such as accounting, ERP or CRM, on scheduled refresh intervals, on combining data from several sources, or on reaching a database behind our firewall — for the month-end close that means exporting everything to CSV or Sheets by hand first. 11 12
The Managing Director
The way in is pasting, CSV or Excel upload, a Google Sheet link, or a live-updating external CSV dataset; I found no public information on connectors to HubSpot, accounting, a help desk or databases, and Google Sheet charts need a manual republish to refresh while only the external CSV option updates itself. Nothing here plugs into my four systems. 11 12
The Data Analyst
Data arrives by pasting a table, XLS/CSV upload, a linked Google Sheet, or an external dataset, and the live-updating mode genuinely refreshes a published chart from any CSV source without republishing. But these pages show no database or warehouse connector and no SQL layer, so my nightly PostgreSQL warehouse has no documented way in, and we found no public information on firewall access, scheduled refresh intervals or combining several sources; Google Sheets connections update only when the visualization is opened and need a republish to reach embeds. 11 12 13
The IT Administrator
Data arrives by copy-paste, XLS/CSV upload, a Google Sheets connection, or a link to an external CSV dataset that can auto-update published visualizations, though published Google Sheets charts need a manual republish to refresh. We found no public information on connectors to databases or business applications such as our ERP, on a gateway or tunnel for sources behind our firewall, or on combining two sources in one visual. 11 12 13
The SaaS Product Lead
Data arrives by copy-paste, XLS/CSV upload, a connected Google Sheet that refreshes when the visualization is opened, or an external CSV dataset that can keep published charts auto-updating without republishing — workable for us only if we first push fleet data out of our own database somewhere. We found no public information on connectors to databases, warehouses or business applications, scheduled refresh with a stated interval, combining several sources, or reaching a database behind a firewall. 11 12
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
Dashboards, charts & interactivity
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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.
The Finance Controller
The visualization library is broad and print-ready: 27 chart types from bar and line to waterfall, dual-axis and scatter, three map types with more than 4000 basemaps, flexible tables with search, sort and heatmaps, plus annotations, responsive mobile display, localized formats, dark mode, a built-in accessibility checker and custom themes matching our corporate design. We found no public information on dashboards as such, cross-filtering, drill-down or reader-facing filters and date controls. 2 13 14
The Managing Director
Twenty-seven named chart types, three map types with more than 4,000 basemaps, flexible tables with heatmaps and mini charts, annotations, dark mode, localisation and accessibility built in make the individual graphics well beyond basic. But each visual is a single chart, and I found no public information on dashboard-wide filters, drill-down, cross-filtering or KPI tiles with targets, which is exactly the one-screen view I want. 13 2 14 1
The Data Analyst
Twenty-seven visualization types, three map types over more than 4000 basemaps, and tables with heatmaps, search and sorting put real breadth on the page, plus print-ready CMYK theme variations and an accessibility checker with accessible-by-default colors. What the pages show is one visualization at a time, though: we found no public information on dashboards as such, cross-filtering, drill-down, dashboard-wide filters or KPI tiles, so readers get tooltips, zoom and table sorting rather than analysis. Beautiful for a chart in a report; not the daily dashboard surface my teams would live in. 1 2 13 14
The IT Administrator
The visualization library is genuinely broad — 27 named chart, map and table types, three map types with more than 4,000 basemaps, annotations, tooltips and zoom, table heatmaps with search, pagination and sort — plus responsive display, dark mode, localization and a built-in accessibility checker. We found no public information on multi-chart dashboards, dashboard-wide filters, drill-down or cross-filtering; the documented product centers on individual charts, maps and tables. 1 2 13 14
The SaaS Product Lead
The chart library is genuinely strong for a publishing tool: 27 named visualization types, three map types with more than 4000 basemaps, flexible tables with search, sort and pagination, annotations, dark mode, localization, and accessible-by-default colors with a built-in color check. But the vendor describes a single web app for charts, maps and tables, and we found no public information on dashboards, cross-filtering, drill-down, KPI tiles with targets or pivot tables — the things my customers would open daily. 1 2 13
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
Self-service analysis & shared metrics
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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.
The Finance Controller
Anyone can build a visual through the step-based editor with custom fields, a versioned edit history ranging from 30 days to unlimited by plan, and a scripting guide for R. We found no public information on a SQL editor, a visual query builder, natural-language questions or a semantic layer where metrics are defined once — so one governed definition of contribution margin reused across every page is not something this tool evidences. 1 4 13
The Managing Director
A step-based editor you can try without an account means anyone on my team can build a chart without a data person, with comments and real-time collaboration documented. The captured pages say nothing about calculated fields, a shared layer where revenue is defined once, SQL access or forecasting, so consistency across charts rests on our discipline rather than the product. 1 2 12
The Data Analyst
A step-based editor does let any colleague turn pasted or uploaded data into a polished chart without help, which is honest self-service publishing. We found no public information on a SQL editor, a visual query builder, calculated fields, or a shared metric layer under version control — the things that would stop marketing and finance computing revenue differently. There is a guide to driving charts from R, but that is scripting outside the product. 1 13
The IT Administrator
A step-based editor guides non-analysts from data to a finished visual, with real-time collaboration, edit history by tier, and programmatic creation through the API plus an R guide for analysts. We found no public information on a visual query builder, a SQL editor, calculated fields, a shared metric layer, natural-language questions, forecasting or notebooks. 1 2 5 13
The SaaS Product Lead
A guided step-based editor means non-specialists build visuals from their own data without a ticket, and read-only users can copy a visualization into their own workspace. We found no public information on a query builder, SQL, calculated fields, shared metric definitions, natural-language questions, forecasting or notebooks — so every fleet metric would still be assembled by hand by my team. 1 18
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
Sharing, scheduled reports & embedding
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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.
The Finance Controller
Getting visuals to readers is the heart of the product: responsive web-component script embeds, plain and responsive iframes, oEmbed, custom embed code templates, share links, a PowerPoint add-in that updates every visual in a deck with one click, export to PNG, PDF and SVG, and comments with in-app and email notifications. We found no public information on scheduled email reports, threshold alerts, delivery to Slack or Microsoft Teams, or per-viewer filtering of embedded content. 15 16 2 3
The Managing Director
This is the product's heart: script and iframe embeds for almost any website, oEmbed, share links, PNG, PDF and SVG export, a PowerPoint add-in that updates a whole deck with one click, comments, versioned links, and self-hosting of published visuals on our own domain. The Monday-morning piece is missing for me: I found no public information on scheduled email reports, Slack or Teams delivery or threshold alerts. 15 16 13 2 3
The Data Analyst
This is the product's home ground: one line of code embeds a chart almost anywhere, with script embeds as web components that isolate styles, fall back to an image without JavaScript, render programmatically and even swap charts in place, plus share links carrying version numbers and a PowerPoint add-in that updates a whole deck in one click. Export covers PNG, PDF and SVG, and comments with in-app and email notifications exist in the editor. We found no public information on scheduled email reports, delivery to Slack or Microsoft Teams, threshold alerts or Excel export, which keeps this solid rather than top-tier. 2 3 15 16
The IT Administrator
Embedding is this product's core and is unusually well documented: script and responsive iframe embeds, oEmbed, custom embed code templates, a web component render API with interaction events and style isolation, self-hosting of published visuals on our own domain, a PowerPoint add-in with one-click deck updates, exports to PNG, PDF and SVG, comments, and webhooks — with embedding and views unlimited and free of charge. We found no public information on scheduled email reports, delivery to Slack or Microsoft Teams, metric alerts, or per-viewer row-level filtering of embedded content. 2 3 4 13 15 16
The SaaS Product Lead
Embedding is this product's centre of gravity: responsive iframes, web-component script embeds with style isolation, render flags and interaction events, custom embed code templates, oEmbed, self-hosting of published visualizations on your own domain, and a licensed custom theme that turns the Datawrapper attribution off by default — a real white-label path. Exports cover PNG, PDF and SVG plus a PowerPoint add-in, share links, and comments with notifications. We found no public information on scheduled email reports, threshold alerts, delivery to Slack or Teams, Excel export, or per-viewer row-level security in embedded charts — for 600 customers each seeing only their own rows, that last point is decisive. 2 13 14 16
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
Access control, administration & portability
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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.
The Finance Controller
Workspaces with multiple teams, granular per-team read-only and publish permissions on Business and Enterprise, guest roles, free read-only seats excluded from the licence count, SAML2 and OpenID Connect single sign-in on the Enterprise plan, and a documented REST API with scoped personal access tokens are all evidenced, and a free SQL dump of our data on request plus account deletion cover the exit. We found no public information on audit logs, SCIM provisioning or development and production environments; the self-hosting option applies to published visualizations on our own domain, not to running the product ourselves. 17 18 5 10
The Managing Director
Roles from guest to admin, read-only users who cannot publish, per-team granular permissions and publish control on higher plans, SAML2 and OpenID Connect single sign-on on the Enterprise plan, edit history up to unlimited, a documented REST API, and free return of all data as an SQL dump if we ever leave. I found no public information on audit logs, row-level security, SCIM provisioning or an edition of the software itself we could run on our own servers. 18 17 5 10 7
The Data Analyst
Workspace roles, read-only users who are free of charge and can comment and copy but never publish, granular per-team permissions and publish control on Business and Enterprise, a guest role, and SAML2 or OpenID Connect single sign-on on Enterprise are all documented, and the API works with scoped personal access tokens. The terms promise a free SQL dump of all data, and edit history is tiered from 30 days up to unlimited. We found no public information on row-level security, audit logs, SCIM provisioning or development and production environments, and the self-hosting described applies to publishing visualizations on a custom domain rather than a self-run edition of the software. 4 5 10 17 18
The IT Administrator
Workspace permissions are documented in real detail — read-only users who can comment, export and fetch embed codes but cannot publish, per-team read-only and publish controls on Business and Enterprise, a guest role and an SSO invitation requirement — while single sign-on via SAML2 and OpenID Connect is stated for the Enterprise plan, alongside a scoped REST API, edit history retention per tier, a free SQL dump of all data and visualizations that stay online after cancellation. We found no public information on an audit log, SCIM provisioning, row- or column-level security on the data itself, or an edition of the full application we could run on our own servers; the documented self-hosting covers publishing visualizations from our server, not running the tool. 5 9 10 17 18
The SaaS Product Lead
Workspaces with teams and folders, member roles with read-only and guest options, per-team read-only and publish control on Business and Enterprise, SAML2 and OpenID Connect SSO on Enterprise with setup guides for Okta, Entra ID and Google, a documented REST API with scoped personal tokens, and a free SQL dump or equivalent return of all data on leaving. We found no public information on row-level or column-level security, audit logs, SCIM provisioning, development and production environments, or a self-hosted edition of the product itself — the documented self-hosting covers published visualizations on a custom domain. 5 10 17 18
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
European sovereignty
panel opinion
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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.
The Finance Controller
A German GmbH in Berlin under German law with named German owners and no outside investors, AWS hosting in Frankfurt and Stockholm with user data never leaving the EEA, ISO 27001 certification with a downloadable certificate and yearly audits, and a named subprocessor list including Stripe, ChargeBee, HelpScout and MailerLite make this a strong European chain. The captured pages give different figures for where published charts are stored — the security page places everything in Stockholm and Frankfurt while the privacy policy states published charts sit in AWS US-Virginia — and we found no published data processing agreement or subprocessor locations in the captures. 9 7 6 4
The Managing Director
Datawrapper GmbH in Berlin, German governing law, self-funded by named German owners, user data on AWS in Frankfurt and Stockholm with the claim it never leaves the EEA, yearly ISO 27001 audits with a downloadable certificate, and a listed subprocessor set including Stripe, ChargeBee, HelpScout and MailerLite. One caveat: the security page says user data never leaves the EEA while the privacy policy states published charts are stored on AWS in US-Virginia, so embedded visuals carrying my business numbers sit outside the EU, and I found no confirmation of a published data processing agreement. 9 7 6 10
The Data Analyst
Datawrapper GmbH is a self-funded Berlin company under German law, hosting on AWS in Frankfurt and Stockholm with user data stated never to leave the EEA, yearly ISO 27001 audits, penetration tests and a downloadable certificate. Subprocessors are named — Stripe, ChargeBee, HelpScout, MailerLite — though only the AWS regions are given, and the privacy policy states published charts are served from AWS in Virginia, so part of the content chain sits outside the EEA. We found no public information on a published data processing agreement. 4 6 7 9
The IT Administrator
The vendor is a self-funded German company in Berlin under German law and GDPR, with user data on named AWS regions in Frankfurt and Stockholm, ISO 27001 certification with yearly audits, penetration tests and a downloadable certificate, tracking-free embeds with no cookies, self-hosted Matomo in Europe, and named subprocessors for billing, newsletter and support. The captured pages give different statements on where published content lives — the security page says user data never leaves the EEA across two European datacenters, while the privacy policy states published charts are stored on AWS in Virginia — and we found no public information on a published data processing agreement or on the locations of the non-AWS subprocessors. 2 4 6 7 9 10
The SaaS Product Lead
Datawrapper GmbH is registered in Berlin under three named European owners and self-funded by subscription revenue, processes under German data protection legislation with ISO 27001 certification, yearly audits, penetration tests and a downloadable certificate, and states its software is hosted in AWS Frankfurt and Stockholm so user data never leaves the EEA. Subprocessors are named — AWS, Stripe, ChargeBee, HelpScout, MailerLite — but only AWS carries a region, the captured pages give different figures for published charts (the security page places all infrastructure in Frankfurt and Stockholm while the privacy policy stores published charts on AWS in Virginia, us-east-1), and we found no public information on a data processing agreement. 4 6 7 9
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
Pricing transparency
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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.
The Finance Controller
The Free plan is well described — unlimited create, publish, embed and PNG export with attribution — read-only users are fully free and excluded from the licence count, and the API includes 500 create, 1,000 publish and 3,000 export operations a month before credit-based billing; terms around the price are clear too, with one- or twelve-month terms, net prices excluding VAT and cancellation reverting to the Free plan. But we found no public price figures for the paid Single, Team, Pro, Business or Enterprise plans in the captured pages, so the real annual cost is not computable. 4 5 18 10
The Managing Director
The free plan is generous and clearly bounded — unlimited charts and PNG export with attribution, 30-day edit history — and the thing I care most about is nailed down: read-only users are fully free and never count toward the paid licence. But the captured pages name Single, Team and Pro plans without a single euro figure, and I found no public information on what an editing seat, a custom theme or API credits cost, so I cannot compute my annual bill. 4 18 10 5
The Data Analyst
The free plan's scope, unlimited visualizations with read-only guests free of charge and not counted toward licences, the API's free monthly operation limits with credit-based billing after, a 20% nonprofit discount, VAT-exclusive net pricing with reverse charge for international VAT IDs, one- or twelve-month minimum terms and cancel-anytime reversion to Free are all stated publicly. What the captured pricing pages never give is a currency figure for the Single, Team, Pro, Business or Enterprise tiers, or the price of a custom theme, so I cannot compute an annual cost from these pages alone. 4 5 10 18
The IT Administrator
The free plan is described precisely — create, publish, embed and export PNGs without limits — read-only users are free of charge and never count toward paid licences, the API is free for up to 500 Create, 1,000 Publish and 3,000 Export operations per month before credit-based billing, and VAT treatment, payment methods, minimum terms of one or twelve months, discounts and cancellation are stated. We found no public price figures for the paid Single, Team, Pro, Business and Enterprise seats, so we cannot compute our annual cost from the captured pages. 4 5 10 14 18
The SaaS Product Lead
The free tier is unusually well defined — create, publish, embed and export PNGs without limits, with attribution required — and read-only users are fully free of charge and never count toward the licence, with the API free up to 500 create, 1,000 publish and 3,000 export operations per month before credit-based billing, and VAT treatment, reverse charge, the 20% nonprofit discount and cancellation back to the free plan all stated. But the captured pricing pages give plan names — Single, Team, Pro, Business, Enterprise — with edit-history and feature differences, and we found no public euro amounts for paid seats, the custom theme or an embedding licence, so I cannot price embedded visuals into my product before signing. 4 5 10 18
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
European sovereignty — proven facts
0 of 6 dimensions provenBuilt only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.
| Legal entity | Not determined ⚠ unverified | — | uncited Report an error |
|---|---|---|---|
| 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
- Evidence ages. The oldest capture behind this page is from 1 Nov 2026. Vendors change pricing and policies without notice; every fact reflects its source as of the capture date shown in the registry.
- Weak sourcing — Transfer impact assessment, Hosting location, Hosting options, Legal entity. Not confirmed on the vendor’s own pages as captured.
- AI can misread a source. Extraction and judgement are automated; a citation guarantees traceability, not infallibility. If something here is wrong, say so — no account needed, every report is decided within 5 business days, and accepted corrections are published.
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.
- 13 pricing facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 8 product facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 4 sovereignty dimensions could not be confirmed on the vendor’s own pages and are shown as unknown. Know more? Tell us
- 6 of the readings below were written against an earlier fact sheet — a fact has been corrected, added or pulled since. Until the panel next runs on this product you are reading the older judgement. Know more? Tell us
Sources (19)
The pages every claim on this page was read from — each one checked, dated, and kept verifiable.
- 1 Vendor homepage www.datawrapper.de Checked 1 Nov 2026 Details →
- 2 Features page www.datawrapper.de Checked 1 Nov 2026 Details →
- 3 Features page (PowerPoint integration) www.datawrapper.de Checked 1 Nov 2026 Details →
- 4 Pricing page www.datawrapper.de Checked 1 Nov 2026 Details →
- 5 API documentation www.datawrapper.de Checked 1 Nov 2026 Details →
- 6 Legal notice www.datawrapper.de Checked 1 Nov 2026 Details →
- 7 Privacy policy www.datawrapper.de Checked 1 Nov 2026 Details →
- 8 Data policy (embedded charts) www.datawrapper.de Checked 1 Nov 2026 Details →
- 9 Security / trust page www.datawrapper.de Checked 1 Nov 2026 Details →
- 10 Terms of service www.datawrapper.de Checked 1 Nov 2026 Details →
- 11 Data sources, connectors & refresh — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
- 12 Data sources, connectors & refresh — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
- 13 Dashboards, charts & interactivity — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
- 14 Dashboards, charts & interactivity — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
- 15 Sharing, scheduled reports & embedding — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
- 16 Sharing, scheduled reports & embedding — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
- 17 Access control, administration & portability — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
- 18 Access control, administration & portability — found from sitemap www.datawrapper.de Checked 1 Nov 2026 Details →
- 19 Code repository (open-source licence) — found from the homepage github.com Checked 1 Nov 2026 Details →