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Business Intelligence & Dashboards

Databox

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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 Databox Inc. · databox.com

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Databox at a glance

Vendor
Databox Inc.
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
Yes, per the vendor’s own page source, captured 1 Nov 2026
Panel verdict
The AI panel rates Databox 3/5, the mean of 6 judges. Databox is a KPI dashboarding service from Databox Inc. how scores are made
As of
Vendor pages captured 1 Nov 2026; evaluated by the panel 1 Nov 2026. all sources

Databox alternatives, European ones first →

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

The Data Analyst

Weighted verdict

The first data hire at a Hamburg e-commerce scale-up, with orders, marketing spend and customer data landing in a PostgreSQL warehouse every night. Answers the same question three times a week because every department computes revenue differently. Wants a SQL editor and a query builder for colleagues, metrics defined once in a model that lives in Git, natural-language questions that show the query they ran, and a way out that does not mean rebuilding every dashboard.

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

Scored by The Data Analyst

Panel median The Data Analyst 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 Data Analyst
Data sources, connectors & refresh 3.5 of 5 3 of 5
Dashboards, charts & interactivity 2.5 of 5 2.5 of 5
Self-service analysis & shared metrics 3.5 of 5 3 of 5
Sharing, scheduled reports & embedding 3.5 of 5 3.5 of 5
Access control, administration & portability 3 of 5 2.5 of 5
European sovereignty 2 of 5 2 of 5
Pricing transparency 3 of 5 3.5 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 Data Analyst

There is a lot here for my stack: 130+ named connectors across business-app categories, MySQL, PostgreSQL, Azure SQL and Redshift out of the box, hourly refresh stated per plan with a 15-minute sync add-on, and SSH tunnels with a whitelisted IP for databases behind our firewall. But the model is copy-and-store — data is fetched and stored rather than queried live — and I found no public information on Snowflake or BigQuery, or on incremental refresh and caching, so my warehouse numbers would always be a cycle behind. 1 2 4 10 11 12 19

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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 Data Analyst

KPI-first dashboards with targets, previous-period comparisons, trends, forecasts and leaderboards, a table block, 100+ report templates, and a genuinely strong mobile and TV story with native iOS and Android apps and a four-digit code at the TV URL. I found no public information on the breadth of the chart library, pivot tables, maps, cross-filtering, drill-down or localised number and date formats, so I cannot confirm what a company-wide rollout would need. 2 11 12 13

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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 Data Analyst

The metric story is exactly my Monday-morning pain: metrics defined once with an owner and verified status, a governed semantic layer on every plan, change history and lineage signals, and the same definition feeding dashboards, scheduled reports, chat questions and API calls. But as the person who lives in SQL, I found no public information on a SQL editor, a visual query builder, the query behind a natural-language answer, Git-synced definitions or notebook analysis, and the forecast method is not stated. 1 2 4 15 17 19

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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 Data Analyst

Snapshots by email or Slack as PDF or image, personalised daily scorecards, push alerts when metrics move or goals are hit, password-protected and IP-limited public links, interactive embeds for intranets and client portals, TV streaming, and a white-label add-on at $250.00 per month with branded domains, client logins and removal of the vendor logo. Two gaps keep it from the top: passing parameters through the embed URL is documented as not supported, and I found no public information on per-viewer row-level filtering inside embeds or an embedding SDK. 4 13 16 17

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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 Data Analyst

SAML 2.0 single sign-on with Okta verification and domain enforcement, two-factor authentication, role-based permissions, access rules that restrict sensitive metrics even for AI agents acting on a user's behalf, a documented REST API covering users, dashboards, connections and metrics, and return or destruction of customer data within 30 days on termination. However, users must be created manually before single sign-on works, and I found no public information on SCIM provisioning, development and production environments, dashboards as versionable code or a self-hosted edition — on exit only dataset CSV export is documented, so leaving means rebuilding every dashboard. 4 6 7 9 15 18 19

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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 Data Analyst

A Delaware-incorporated vendor whose privacy policy states it is "located and hosted in the United States and governed by US law", running on AWS, with subprocessors including OpenAI, Anthropic and SendGrid listed by name and a published data processing agreement with standard contractual clauses governed by Irish law. That is more transparency than many US vendors offer, but I found no public information on any EU hosting option, EU contracting entity or self-hosted edition, so our revenue and customer data would all land in the US chain. 6 7 8 9

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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 Data Analyst

Free-tier limits, published per-plan prices from the Analyst plan at $71/month billed annually to Team at $199/month billed annually, granular limits for users, data sources, AI credits, sync frequency and feature gating, account packs and a white-label add-on at $250.00 per month, plus tax treatment and refund rules — I can get close to computing our annual bill. It stops short of full computability: the captured pricing page gives different figures for the Agency plan ("$ 79 /billed annually" versus "starts at $99/month") and for account packs ($20/month versus $25/month), single sign-on sits on unnamed "select subscription plans and add-ons", and the 15-minute sync add-on and the Custom plan are unpriced. 4 9 12 17 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 ⚠ unverified — uncited Report an error
Transfer impact assessment Not determined — uncited Report an error

Questions about Databox

Is Databox European?

No. whats-best.ai classifies Databox as Rest of world.

Where does Databox store data?

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

Does Databox have a free plan?

Yes. Databox has a free plan, per the vendor’s page captured 1 Nov 2026.

What are the best alternatives to Databox?

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: Databox 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 Databox? 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 databox.com Checked 1 Nov 2026 Details →
  2. 2 Features page databox.com Checked 1 Nov 2026 Details →
  3. 3 Integrations page (connectors) databox.com Checked 1 Nov 2026 Details →
  4. 4 Pricing page databox.com Checked 1 Nov 2026 Details →
  5. 5 GDPR page databox.com Checked 1 Nov 2026 Details →
  6. 6 Data processing agreement (dpa) databox.com Checked 1 Nov 2026 Details →
  7. 7 Security / trust page databox.com Checked 1 Nov 2026 Details →
  8. 8 Privacy policy databox.com Checked 1 Nov 2026 Details →
  9. 9 Terms of service databox.com Checked 1 Nov 2026 Details →
  10. 10 Data sources, connectors & refresh — found from sitemap help.databox.com Checked 1 Nov 2026 Details →
  11. 11 Data sources, connectors & refresh — found from sitemap databox.com Checked 1 Nov 2026 Details →
  12. 12 Dashboards, charts & interactivity — found from sitemap databox.com Checked 1 Nov 2026 Details →
  13. 13 Dashboards, charts & interactivity — found from sitemap databox.com Checked 1 Nov 2026 Details →
  14. 14 Self-service analysis & shared metrics — found from sitemap databox.com Checked 1 Nov 2026 Details →
  15. 15 Self-service analysis & shared metrics — found from sitemap databox.com Checked 1 Nov 2026 Details →
  16. 16 Sharing, scheduled reports & embedding — found from sitemap help.databox.com Checked 1 Nov 2026 Details →
  17. 17 Sharing, scheduled reports & embedding — found from sitemap databox.com Checked 1 Nov 2026 Details →
  18. 18 Access control, administration & portability — found from sitemap help.databox.com Checked 1 Nov 2026 Details →
  19. 19 Access control, administration & portability — found from sitemap help.databox.com Checked 1 Nov 2026 Details →