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Business Intelligence & Dashboards

Grafana

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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 Raintank Inc. (Grafana Labs) · grafana.com

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

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

Grafana at a glance

Vendor
Raintank Inc. (Grafana Labs)
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 Grafana 3/5, the mean of 6 judges. Grafana, from Raintank Inc., d/b/a Grafana Labs of New York, is a dashboards product whose plugins query existing sources in real time without ingestion into a vendor store — self-managed, on Grafana Cloud or as a self-hosted Enterprise edition. how scores are made
As of
Vendor pages captured 1 Nov 2026; evaluated by the panel 1 Nov 2026. all sources

Grafana alternatives, European ones first →

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

The IT Administrator

Weighted verdict

IT lead at a mid-sized healthcare supplier whose reports touch customer, pricing and employee data. Is asked to approve a BI tool after a department has already started a trial. Reads where extracts and caches are stored, whether the tool reaches the ERP database through a gateway or wants it opened to the internet, whether sales sees only its own region, and whether single sign-on and an audit log come with the plan or behind a sales call. Prefers an edition they can run themselves.

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

Scored by The IT Administrator

Panel median The IT Administrator 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 IT Administrator
Data sources, connectors & refresh 3 of 5 3 of 5
Dashboards, charts & interactivity 3 of 5 3 of 5
Self-service analysis & shared metrics 3 of 5 3 of 5
Sharing, scheduled reports & embedding 2.5 of 5 2 of 5
Access control, administration & portability 3.5 of 5 4 of 5
European sovereignty 3 of 5 3 of 5
Pricing transparency 3 of 5 3 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 IT Administrator

A hundred and fifty-plus plugins cover named sources including BigQuery, Snowflake and Oracle plus Splunk, ServiceNow, Datadog and Dynatrace under the Enterprise plugins, and the plugins query each source in real time without ingesting data into a vendor store — our ERP database stays where it is. Transformations combine data across queries and data sources, SQL expressions and recording rules sit on top, and a plugin development platform exists for what is not listed. We found no public information on scheduled refresh intervals, spreadsheet connectors or a documented gateway for databases behind a firewall, though the self-managed edition can run inside our own network. 1 2 3 11 12

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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 IT Administrator

The chart library is broad — heatmaps, histograms, geomaps, time series, tables, state timeline, stat and gauge panels — with template variables working as dashboard-wide filters, annotations overlaying events on graphs, and drilldown apps that need no query writing. Dashboard templates, dynamic layouts with tabs, nested folders for organisation and Enterprise-level custom branding are documented. We found no public information on mobile display, localised number and date formats, or accessibility of the resulting dashboards. 1 2 3 11

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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 IT Administrator

Both a visual query editor and SQL editors are documented, with saved queries to standardise reuse, SQL expressions to transform data, and transformations that rename, summarise and calculate across data sources. Dashboards are versioned through Git Sync and deploy through the software pipeline with Terraform provisioning, which is the as-code discipline I want before departments build their own numbers. We found no public information on a governed semantic layer where revenue or churn is defined once, on forecasting and anomaly methods, or on Python notebooks. 1 2 11

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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 IT Administrator

Scheduled reporting is real: PDFs are generated from any dashboard and emailed to interested parties on a schedule, dashboards export to PDF, and alert rules can be built on data conditions; shared dashboards and snapshots also exist as API objects. We found no public information on delivery to Slack or Microsoft Teams, export to Excel, or embedding dashboards in an intranet or our own software, which is what I would need before pushing reports to customers and the field. 3 5 11

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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 IT Administrator

This is close to what I require before rollout: viewer, editor and admin roles with detailed permissions, data source permissions, active LDAP sync, SAML single sign-on and SCIM provisioning are all documented — the single sign-on pieces in the Enterprise edition — alongside usage insights and per-dashboard activity reporting for administrators. Every instance exposes an HTTP API with a published OpenAPI specification, dashboards and definitions move as code through Git Sync and Terraform, and there is a documented self-managed open-source edition we can run on our own servers, which is my preferred route. We found no public information on column-level security or permissions inherited from the source database, and row-level control is only evidenced for Loki log data sources. 1 3 5

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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 IT Administrator

The contracting entity is Raintank Inc. in New York, and the cloud chain defaults to US subprocessors — AWS, Azure and Google for infrastructure, Sendgrid for report email, OpenAI and Anthropic for optional AI features — with a footnote that additional regions such as EU are available where customers select them. On the credit side, the subprocessor list names each provider with its location, the data processing agreement is published for download, ISO 27001 and SOC 2 Type 2 are stated, and they participate in the EU-US Data Privacy Framework. For us the decisive route is the documented self-managed open-source edition, whose plugins query data wherever it lives with no ingestion into a vendor store — though we found no public information on where extracts and caches are stored, or on an EU contracting entity or representative. 1 2 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 IT Administrator

The free tier is precisely limited (10k metrics, 50GB each of logs, traces and profiles, three users) and usage add-ons are unusually exactly priced — "Starts at $20 / active AI user", "Starts at $0.01 / host hour ($7.20/host)" for Kubernetes monitoring, "Starts at $55 / user with Enterprise Plugins" — while Pro is published at "Starts at $8 / active user" with a platform fee of "$19 per month" including three active users. The Enterprise tier, which carries the single sign-on and self-hosted enterprise capabilities, is "Prices are Custom" with a stated minimum commit of "$25,000 per year" behind contact us. We found no public information on viewer versus editor seat pricing, embedding costs, minimum term or VAT treatment, so a full annual cost cannot be computed from public pages alone. 1 2 4

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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 ⚠ unverified — 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 Grafana

Is Grafana European?

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

Where does Grafana store data?

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

Does Grafana have a free plan?

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

What are the best alternatives to Grafana?

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: Grafana 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 Grafana? Tell us Report an error on this page

Sources (15)

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

  1. 1 Vendor product page (open source) grafana.com Checked 1 Nov 2026 Details →
  2. 2 Features page (Grafana Cloud) grafana.com Checked 1 Nov 2026 Details →
  3. 3 Features page (Grafana Enterprise) grafana.com Checked 1 Nov 2026 Details →
  4. 4 Pricing page grafana.com Checked 1 Nov 2026 Details →
  5. 5 API documentation grafana.com Checked 1 Nov 2026 Details →
  6. 6 Security / trust page grafana.com Checked 1 Nov 2026 Details →
  7. 7 Data processing agreement (dpa) grafana.com Checked 1 Nov 2026 Details →
  8. 8 Subprocessor list grafana.com Checked 1 Nov 2026 Details →
  9. 9 Privacy policy grafana.com Checked 1 Nov 2026 Details →
  10. 10 Terms of service grafana.com Checked 1 Nov 2026 Details →
  11. 11 Data sources, connectors & refresh — found from sitemap grafana.com Checked 1 Nov 2026 Details →
  12. 12 Data sources, connectors & refresh — found from sitemap grafana.com Checked 1 Nov 2026 Details →
  13. 13 Access control, administration & portability — found from sitemap grafana.com Checked 1 Nov 2026 Details →
  14. 14 Self-hosting / on-premises installation docs — found from the homepage grafana.com Checked 1 Nov 2026 Details →
  15. 15 Code repository (open-source licence) — found from the homepage github.com Checked 1 Nov 2026 Details →