Business Intelligence & Dashboards
Databox
Rest of world Report an error0–5 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
Read this page as one judge. Each weighs the same scores by what they care about.
The panel's verdict
Databox is a KPI dashboarding service from Databox Inc. of Boston, USA. It scores highest on data connectivity, self-service and modelling, and sharing and embedding, each ranging from 6 to 7: 130-plus integrations with hourly sync on paid plans, a governed semantic layer on every plan where one metric definition with an owner and verified status feeds dashboards, reports and AI answers, and password-protected public links and interactive embeds. Dashboards and visualization scores 4 to 5: the pages document KPI tiles, a table block, 100-plus templates and TV streaming, but the bench found no public information on the chart library, drill-down, maps or pivot tables. Sovereignty scores lowest at 4, with hosting stated as the United States on AWS and a published subprocessor list giving purposes but no locations. Pricing transparency spreads widest, 5 to 7: one judge nearly computed an annual bill from published tier prices, while another could not cost a multi-tenant rollout, citing no public information on extra-user or viewer pricing and different figures on the captured pages for the Agency plan and account packs.
Speaks for it
- 130-plus integrations across named business categories plus spreadsheets, direct connections to MySQL, PostgreSQL, Azure SQL and Redshift, and an ingest API for anything unlisted
- Governed semantic layer included on every plan, with each metric defined once and carrying an owner, verified status, change history and lineage
- Public links with password protection, IP limiting, date-range and filter restrictions, and revocation
- Interactive embedding of a live dashboard on websites, intranets and client portals, plus TV streaming via a 4-digit code
- SAML 2.0 single sign-on with a verified Okta app and an enforce-for-all option, two-factor authentication, and an audit trail and data lineage on all plans
Held against it
- We found no public information on the chart library, drill-down, cross-filtering, maps, pivot tables or localised number formats
- Hosting is stated as the United States on AWS and we found no public information on an EU hosting option or a self-hosted edition
- Automatic user provisioning is not supported and single sign-on sits behind select subscription plans and add-ons that are not named
- Passing parameters through the embed URL is documented as not supported and we found no public information on signed per-viewer row-level filtering or an embedding SDK
- The captured pages give different figures for the Agency plan ($79/month billed annually against a stated $99/month start) and for account packs ($20/month against $25/month each), and the 15-minute sync add-on carries no published price
Best for
- You want one trusted number across the company, with metrics defined once and governed on a semantic layer included on every plan, the free plan included
- You track KPIs from a broad stack of SaaS tools and want 130-plus integrations with hourly sync on paid plans
- You distribute performance widely through password-protected public links, snapshots by email or Slack, and TV streaming on office screens
- You are an agency reselling dashboards under your own brand via the white-label add-on at $250.00 per month on any plan
Avoid if
- You require EU data residency or a self-hosted edition, since hosting is stated as the United States on AWS and we found no public information on a European option
- You onboard many users automatically, since provisioning is not supported and single sign-on sits behind select subscription plans and add-ons that are not named
- Your reporting depends on pivot tables, maps, drill-down and localised number formats, since the captured pages document KPI tiles, a table block and 100-plus templates and we found no public information on the chart library
The scores
| Criterion | Panel median |
|---|---|
| Data sources, connectors & refresh | 3.5 of 5 |
| Dashboards, charts & interactivity | 2.5 of 5 |
| Self-service analysis & shared metrics | 3.5 of 5 |
| Sharing, scheduled reports & embedding | 3.5 of 5 |
| Access control, administration & portability | 3 of 5 |
| European sovereignty | 2 of 5 |
| Pricing transparency | 3 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
The connector catalogue is published: 130+ integrations across named business apps, spreadsheets and the databases MySQL, PostgreSQL, Microsoft SQL Server, Azure SQL and Amazon Redshift, with hourly sync on paid plans, a 15-minute sync add-on, and a documented SSH tunnel plus a whitelist IP for reaching databases inside our network. Dataset modification, calculated columns and merging datasets provide light preparation, and a custom connection to almost any API plus the ingest API covers the rest. I found no public information on incremental refresh behaviour, per-plan API rate limits, or named connectors for our accounting and ERP systems beyond the generic Accounting & Finance category. 1 2 3 4 10 11 12 19
The Managing Director
The connector list names HubSpot and covers accounting, customer support and project management categories with 130+ integrations, plus spreadsheets and the MySQL, PostgreSQL, Azure SQL and Redshift databases, so my whole stack is reachable. Refresh is hourly on paid plans with a 15-minute sync add-on, a database behind our firewall can be reached through a documented SSH tunnel, and anything unlisted can come in through a custom API builder; I found no public information on a live-query option versus stored extracts. 2 4 10 11 12
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
The IT Administrator
The connector catalogue is broad — over 130 integrations spanning named business applications, spreadsheets and databases — with sync frequency stated per plan (daily on free, hourly on paid) and a 15-minute sync add-on. I can reach our ERP database through a thoroughly documented SSH tunnel with a whitelisted IP and a bastion-host fallback, and datasets support calculated columns, filtering and merging. The named databases stop at MySQL, PostgreSQL, Azure SQL and a still-beta Redshift, and I found no public information on live queries against the source or on Snowflake and BigQuery connectors. 2 4 10 11 12 19
The SaaS Product Lead
More than 130 named integrations spanning accounting, CRM, advertising and support, direct database connections to PostgreSQL, MySQL, SQL Server and Redshift, an SSH tunnel with a published IP for databases behind a firewall, hourly refresh with a 15-minute sync add-on, dataset merging and a push API for anything else cover nearly everything our fleet data would need. We found no public information on live queries versus stored extracts, incremental refresh or caching behaviour, or row and API-call quotas per plan, which is what holds this below the top of the scale. 1 2 3 4 10 11 12 19
The Skeptic
The catalogue is published: 130-plus integrations across named business categories, MySQL, PostgreSQL, Azure SQL and Redshift reachable through a documented SSH bastion with an allow-listed IP, hourly fetch-and-store refresh (fifteen minutes as an add-on, daily on the free plan), dataset merging, calculated columns and an ingest API for anything unlisted. I stop short of more because the warehouse list ends there, database queries must return a date column literally named 'date', no live-query alternative is described, and rate limits and per-connector quotas are referenced but never stated. 1 2 4 10 11 19
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
KPI tracking with targets, comparisons, trends and forecasts, a table block in the Designer, 100+ pre-built templates and automatic optimisation for mobile, desktop and TV with native iOS and Android apps are all documented, plus snapshots as PDF. I found no public information on the breadth of the chart library, pivot tables, maps, drill-down, or localised number and date formats — which matters for the German decimal comma and the advisory-board printout. 2 11 12 13
The Managing Director
Targets, period comparisons, trends and forecasts are built in, 100+ ready-made templates cover marketing, sales, help desk and finance, and dashboards optimise themselves for phone, desktop and the office TV — exactly the one-screen, on-the-go view I want. The captured pages say little about the chart library itself: I found no public information on pivot tables, maps, drill-down or localised number and date formats. 2 12 13
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
The IT Administrator
Dashboards with live visualisation, targets, comparisons, trends and forecasts are described, backed by 100-plus templates, native iOS and Android apps with per-user personalisation, per-view layout control and TV streaming through a four-digit code. The sharing pages confirm dashboard filters and date-range controls exist. The captured pages do not describe the chart library, pivot tables, maps, drill-down or cross-filtering, so I cannot confirm the interactive depth a reporting team would rely on daily. 2 12 13 16
The SaaS Product Lead
Live KPI visualisation with targets, comparisons, trends and forecasts, a table block, 100+ report templates, per-view layout control and automatic optimisation for mobile, desktop and TV with a streaming loop are all documented, and the mobile apps are native. Beyond that we found no public information on pivot tables, maps, drill-down, cross-filtering, dashboard-wide filters or localised number and date formats, so I cannot judge the chart depth our customers would actually get. 2 11 12 13
The Skeptic
Documented: KPI tiles with targets, comparisons, trends and forecasts, a table block, leaderboards, 100-plus templates, dashboard filters and date ranges implied by the sharing restrictions, and a genuinely strong native mobile and TV story with per-device layout control. But I found no public information on the breadth of the chart library, drill-down, cross-filtering, maps, pivot tables, localised number formats or accessibility, so this lands midway rather than higher. 2 11 12 13 16
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
A governed semantic layer on all plans lets every metric be defined once with an owner and verified status, and the same definition is documented to power dashboards, scheduled reports, chat questions, API calls and agent queries — exactly one contribution-margin definition on every page. Calculated columns, merged datasets and plain-language questions through Genie and MCP are documented. I found no public information on a SQL editor, Git or dbt versioning of definitions, notebooks, or whether natural-language answers show the query they ran. 1 2 4 15 19
The Managing Director
Metrics are defined once with an owner, verified status and change history, the same definition feeds dashboards, scheduled reports and plain-language questions, and thousands of ready-made metrics ship for tools like HubSpot — no data person needed. Calculated columns and dataset merging are documented; I found no public information on a SQL editor for analysts, Git-controlled definitions or notebook analysis. 1 2 4 15 19
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
The IT Administrator
The governed semantic layer is included on every plan, with each metric carrying a definition, an owner, verified status, change history and lineage, and the same definition powering dashboards, scheduled reports, chat questions and API calls — that is the one-number discipline I want before finance and sales build their own views. Plain-language questions, permission-aware AI answers and calculated columns with formulas are documented. I found no public information on a SQL editor for analysts, Git or dbt-managed definitions, notebooks, or the method behind the built-in forecasts. 1 2 4 15 19
The SaaS Product Lead
The governed semantic layer is the strongest part: metrics defined once with an owner, verified status, change history and lineage, the same definition feeding dashboards, scheduled reports, chat questions and autonomous agents, plus calculated metrics, merged datasets and pre-built definitions shipping with Stripe, Shopify and HubSpot connectors; clients logging into a branded experience can build their own metrics, goals and scorecards. We found no public information on a visual query builder or SQL editor, Git or dbt version control, the query behind a natural-language answer, or Python notebooks, and the forecast method is not stated. 1 2 14 15 17 19
The Skeptic
This is the strongest story on the site: metrics defined once with owner, verified status, change history, lineage and access rules, reused by dashboards, scheduled reports, chat questions and agents, exposed through MCP, API and CLI, and included on every plan including the free one. The holes a skeptic notices: no visual query builder for business users is described, no Git or dbt versioning of definitions, no notebooks, forecasts without a stated method, and the AI answers never show the query they ran. 1 2 4 15 19
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
Internal and password-protected public links with IP limiting and date-range and filter restrictions, snapshots by email or Slack as image or PDF, push alerts on drastic metric changes, TV streaming, and embedding of a live, interactive dashboard on a website or intranet are all documented. White-label is priced at $250.00 per month with branded URLs, a custom domain and a client login experience. I found no public information on signed embedding with per-viewer row-level filtering, an embedding SDK, or Excel and PowerPoint export, and passing parameters through the embed URL is stated as not supported. 4 13 16 17
The Managing Director
Snapshots go out by email or Slack as PDF or image, a daily scorecard lands the KPIs each morning, and push alerts fire when a metric moves sharply — my Monday summary is covered. Public links can be password-protected, IP-limited and revoked, live dashboards embed in a website or intranet, and a $250.00 per month white-label add-on adds branded URLs, a custom domain and client logins; I found no public information on per-viewer row-level filtering inside an embed. 13 16 17
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
The IT Administrator
Sharing covers public links with password, IP, date-range and filter restrictions plus revocation, snapshots by email or Slack as image or PDF, push alerts on metric changes, TV streaming, and interactive embedding on a website, intranet or client portal. The white-label add-on is priced at $250.00 per month and adds branded URLs, a custom domain, branded client login and branded scheduled alerts. Passing parameters through the embed URL is documented as unsupported, and I found no public information on signed per-viewer row-level embedding, a Microsoft Teams channel or an embedding SDK. 4 13 16 17
The SaaS Product Lead
This is the criterion that decides my buy: embedding a live, interactive dashboard on a website, intranet or client portal is documented, public links can be password- and IP-protected, snapshots go out by email and Slack, alerts and scheduled scorecards exist, and a white-label add-on at $250.00 per month on any plan brings custom domain, favicon and a branded login where clients build their own views. We found no public information on signed embedding with row-level filtering per viewer, an embedding SDK, or per-customer data isolation inside one dashboard, and the help centre states that passing parameters through the embed URL is not supported — so I still cannot prove each of my 600 tenants would see only their own rows. 13 16 17
The Skeptic
Sharing is properly built: public links with password, IP, date-range and filter restrictions that can be revoked, snapshots to email and Slack, TV streaming, interactive embedding that stays current, and a $250.00 per month white-label add-on with custom domain, favicon and branded client login. What an embedder should know first: no embedding SDK or signed per-viewer row-level filtering is described, embed URLs cannot carry parameters, dataset CSV export starts on the Team plan, and sharing itself is marked exclusive to select subscription plans. 4 13 16 17
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
Roles with Users, Editors and Admins, metric-level access rules for sensitive numbers such as payroll, SAML 2.0 single sign-on with a verified Okta app plus manual Azure AD, OneLogin or Ping setup, two-factor authentication and a documented REST API covering users, connections and dashboards give a workable base. Automatic user provisioning is stated as not supported, single sign-on is exclusive to unnamed select subscription plans and add-ons, and I found no public information on column-level security, admin usage analytics, development and production environments, definitions as code or a self-hosted edition. On exit the agreement promises return or destruction of customer data within 30 days. 4 6 7 15 18 19
The Managing Director
Roles for users, editors and admins, two-factor login with session review, SAML single sign-on and a REST API that manages users, dashboards and billing cover what I would need before rolling this out, and data is returned or destroyed within 30 days of termination. Single sign-on sits behind unspecified select subscription plans and add-ons, automatic user provisioning is not supported, and I found no public information on development and production environments or exporting dashboards in a reusable format. 6 7 18 19
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
The IT Administrator
Role-based permissions with Users, Editors and Admins, dashboard-level access control, access rules that keep sensitive metrics restricted, an audit trail on all plans, SAML 2.0 single sign-on with Okta verification, enforced SSO, managed domains and 2FA are all documented, alongside a REST API that manages users, dashboards, integrations and billing. Single sign-on is limited to unnamed select subscription plans and add-ons, and automatic user provisioning is not supported, so onboarding will stay manual. Data is returned or destroyed within 30 days on termination and datasets export as CSV, but I found no public information on exportable dashboard definitions, dev and production environments, or a self-hosted edition I could run on our own servers. 4 6 7 15 18 19
The SaaS Product Lead
Users, Editors and Admins with per-dashboard access down to private, access rules that keep sensitive metrics like customer-level revenue restricted even to agents, SAML 2.0 single sign-on with a verified Okta app and an enforce-for-all option, two-factor authentication, an audit trail on every plan, an administration REST API spanning users, dashboards and billing, and 30-day data return or destruction on termination. Automatic user provisioning is stated as not supported, single sign-on sits behind unnamed plans and add-ons, and we found no public information on column-level security, development and production environments, definitions as code, or a self-hosted edition — which leaves our exit path at CSV exports and manual rebuilds. 4 6 7 15 16 18 19
The Skeptic
Roles for users, editors and admins, per-dashboard visibility, SAML 2.0 single sign-on with a verified Okta app that admins can enforce account-wide, an audit trail and data lineage on all plans, and a REST API that runs users, dashboards, connections, billing and metrics. The exit is the weak point: user provisioning is explicitly not supported, the plan that includes single sign-on is never named, dashboards export only as images and PDF while datasets go out as CSV, and on cancellation all user content is deleted immediately — the definitions are not portable. 4 6 7 9 16 18 19
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
Databox Inc. is registered in Delaware with offices in Boston, the service is stated to be located and hosted in the United States on AWS, and the terms run under Massachusetts law — my DATEV and ERP figures would leave Europe, and I found no public information on an EU hosting option. The data processing agreement is published with standard contractual clauses governed by Irish law, a data protection officer is named, and the subprocessor list is public — including AWS, Google Cloud, SendGrid, Stripe, and OpenAI and Anthropic for the AI features — though without their locations. SOC 2 is stated as certified, while ISO 27001 is stated as not certified. 6 7 8 9
The Managing Director
Databox Inc. is a Delaware company in Boston and everything is hosted in the United States on AWS, so our revenue and customer data would sit across the Atlantic with no European hosting option shown on any captured page. A data processing agreement with standard contractual clauses is published and subprocessors including AWS, Google Cloud, OpenAI and Anthropic are listed by purpose with SOC 2 claimed, but their locations are not given and the vendor states it is not ISO 27001 certified. 6 7 8 9
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
The IT Administrator
The contracting entity is Databox Inc. registered in Delaware and located in Boston, the service is hosted in the United States on AWS under United States law, and the subprocessor list — including OpenAI, Anthropic and LangChain for AI and SendGrid for email delivery — is published with purposes but no locations. A data processing agreement with SCCs under Irish law, an appointed DPO, SOC 2 certification and 30-day return or destruction are documented, while ISO 27001 is described as aligned rather than certified. I found no public information on EU hosting or a self-hosted edition, so every extract, cache and report email sits in the US chain. 5 6 7 8 9 17
The SaaS Product Lead
The chain is American end to end: Databox Inc. is a Delaware company, hosting is in the United States on AWS, and the published subprocessor list names nineteen US services including OpenAI, Anthropic and LangChain for AI, SendGrid for email and Stripe for payment; we found no public information on an EU hosting option. The paperwork is good — a data processing agreement with standard contractual clauses under Irish law, an appointed data protection officer, and SOC 2 certification with the report obtainable via a trust portal — but for our Vienna contracts the data still crosses to the US at every layer. 5 6 7 8 9
The Skeptic
Databox Inc. is registered in Delaware under Massachusetts law, hosting is stated as the United States on AWS, and the published subprocessor list — OpenAI, Anthropic and LangChain for the AI, SendGrid for email, Stripe for payment, FusionAuth for login — gives purposes but no locations; I found no public information on a European hosting option or a self-hosted edition. The published data processing agreement with standard contractual clauses under Irish law, an appointed DPO and SOC 2 certification are real, though the pages themselves state the company is not ISO 27001 certified. 5 6 7 8 9
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
Plans are published in useful detail: a free tier with 1 user, 3 data sources and daily sync, Analyst at $71/month billed annually, Team at $199/month billed annually with 3 users and 10 data sources, Agency starting at $79/month billed annually, and the white-label add-on at $250.00 per month on any plan, with billing periods and tax treatment stated in the terms. The captured pages give different figures for the Agency plan ($79/month billed annually versus a stated $99/month start) and for account packs ($20/month versus $25/month each). Extra users beyond the included seats carry no published price, single sign-on sits behind unnamed select plans and add-ons, and the 15-minute sync add-on is not priced. 4 9 12 17 18
The Managing Director
Tiers are public with users, data sources, AI credits and sync frequency spelled out — Team at $199/month billed annually for 3 users, Scale at $399/month for 10, and an Agency tier with unlimited users — and the free plan's limits, the $250.00 per month white-label add-on, tax treatment and the no-refund policy are stated. The captured pages give different figures for the Agency entry price ($79/billed annually and $99/month) and for account packs ($20/month and $25/month), the 15-minute sync add-on is unpriced, and which plan unlocks single sign-on is not stated, so I cannot compute the full annual cost from public pages alone. 4 9 17 18
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
The IT Administrator
Tiers are public down to user, data-source and AI-credit counts, with account packs for capacity, the white-label add-on at $250.00 per month, a 14-day trial without a credit card, billing periods, a no-refund rule and tax treatment all stated. Single sign-on sits behind unnamed select plans and add-ons, the 15-minute sync add-on carries no price on the captured pages, and the captured pages give different figures for account packs and for the Agency plan. Enough is public to budget a year, but not every governance-relevant line item I would need. 4 9 12 17 18
The SaaS Product Lead
Tiers are public with prices, user, data-source and AI-credit limits, the free plan's limits are spelled out, and the $250.00-per-month white-label add-on is a number I could put into our product price — but the pricing page gives different figures for the Agency start ($79 billed annually versus $99/month in its FAQ) and for account packs ($20/month versus $25/month each). Faster sync is an add-on with no price shown, single sign-on is gated behind unspecified plans and add-ons, and we found no public information on extra-user or viewer pricing or VAT treatment, so a full annual cost for 600 tenants is not computable from the public pages. 4 9 12 17 18
The Skeptic
Credit for detail: free-plan limits, per-plan user, data source, AI credit and sync-frequency quotas, and the plan gates for API, CSV export, Slack delivery and support are all public, plus a $250.00 per month white-label add-on and tax and no-refund terms in the small print. But the captured pricing page gives different figures for the same things — the Agency plan at $79/month billed annually against a stated $99/month starting price, account packs at $20/month against $25/month each — viewer seat pricing is never separated out, and the 15-minute sync add-on and AI credit overage carry no price at all. 2 4 9 12 17 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 ⚠ 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
- 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 — Data processing agreement, Legal entity, Hosting options, Hosting location. 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.
- 19 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
- 11 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
- 7 compliance 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
- 7 integrations 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
- 3 support 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
- 2 data 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
- 2 legal 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
- 1 hosting fact could not be confirmed on the vendor’s page as captured and was 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 databox.com Checked 1 Nov 2026 Details →
- 2 Features page databox.com Checked 1 Nov 2026 Details →
- 3 Integrations page (connectors) databox.com Checked 1 Nov 2026 Details →
- 4 Pricing page databox.com Checked 1 Nov 2026 Details →
- 5 GDPR page databox.com Checked 1 Nov 2026 Details →
- 6 Data processing agreement (dpa) databox.com Checked 1 Nov 2026 Details →
- 7 Security / trust page databox.com Checked 1 Nov 2026 Details →
- 8 Privacy policy databox.com Checked 1 Nov 2026 Details →
- 9 Terms of service databox.com Checked 1 Nov 2026 Details →
- 10 Data sources, connectors & refresh — found from sitemap help.databox.com Checked 1 Nov 2026 Details →
- 11 Data sources, connectors & refresh — found from sitemap databox.com Checked 1 Nov 2026 Details →
- 12 Dashboards, charts & interactivity — found from sitemap databox.com Checked 1 Nov 2026 Details →
- 13 Dashboards, charts & interactivity — found from sitemap databox.com Checked 1 Nov 2026 Details →
- 14 Self-service analysis & shared metrics — found from sitemap databox.com Checked 1 Nov 2026 Details →
- 15 Self-service analysis & shared metrics — found from sitemap databox.com Checked 1 Nov 2026 Details →
- 16 Sharing, scheduled reports & embedding — found from sitemap help.databox.com Checked 1 Nov 2026 Details →
- 17 Sharing, scheduled reports & embedding — found from sitemap databox.com Checked 1 Nov 2026 Details →
- 18 Access control, administration & portability — found from sitemap help.databox.com Checked 1 Nov 2026 Details →
- 19 Access control, administration & portability — found from sitemap help.databox.com Checked 1 Nov 2026 Details →