Grafana vs Power BI: Observability or BI? (2026)

Quick verdict

Short answer

Choose Grafana for operational and engineering dashboards: data that changes by the second or minute, panels that query the source on every refresh, alerting routed to on-call tools, and SQL tables shown beside Prometheus metrics and logs. Choose Power BI for business reporting: modelled data with relationships and DAX measures, Excel and Microsoft 365 integration, paginated reports and governed sharing across the organisation. They answer different questions, and many organisations use both.

How we know: This comparison is research-based: licences, plans, prices, data sources, refresh limits, alerting and reporting features were checked against Grafana Labs' and Microsoft's official documentation and pricing pages on 7 October 2026. We have not run performance tests on either product.

Grafana, from Grafana Labs, is licensed under AGPL-3.0-only (some components are Apache 2.0); the latest release when checked was 13.2.3. It does not import data: each dashboard panel sends a query to a data source when the dashboard loads or refreshes. Built-in data sources include Prometheus, Loki, Elasticsearch, InfluxDB, cloud monitoring services and three SQL databases: PostgreSQL, MySQL and Microsoft SQL Server. It is self-hosted, or available as Grafana Cloud and, on Azure, as Azure Managed Grafana run by Microsoft.

Power BI is Microsoft's BI platform. Reports and semantic models are built in Power BI Desktop, a free Windows application, then published to the Power BI service, now part of Microsoft Fabric. Data is shaped in Power Query and modelled with DAX, and is either imported into the in-memory engine on a refresh schedule or queried live with DirectQuery. Sharing needs Power BI Pro, Premium Per User (PPU) or a Fabric capacity. Power BI Report Server is the on-premises option.

Side by side

Aspect	Grafana	Power BI
Built for	Monitoring, observability and operational time-series dashboards	Business intelligence, modelled reporting and self-service analysis
Licence and free option	AGPL-3.0-only open source; Grafana Cloud Free tier	Proprietary; Power BI Desktop and the Free licence (personal use only) cost nothing
Paid model	Grafana Cloud platform fee plus usage; Enterprise by commitment or quote	Per user (Pro, PPU) or Fabric capacity (F SKUs)
Authoring	Web browser on any OS	Power BI Desktop on Windows only; some editing in the web service
How data is read	Queries the source on every panel refresh; no import or model	Import with scheduled refresh (up to 8 a day on shared capacity, 48 on Premium), DirectQuery or Direct Lake
SQL access	SQL written per panel, with Builder and Code modes and time macros	Native SQL possible when connecting; logic mostly in Power Query and DAX
Semantic layer	None comparable	Semantic models with relationships, DAX measures and row-level security
Near real-time	Dashboard auto-refresh; streaming sources such as Prometheus and Loki	Automatic page refresh on DirectQuery (30-minute minimum on shared capacity); streaming semantic model creation ends 31 October 2027
Alerting	Alert rules, notification policies, more than 20 contact point types	Data alerts on dashboard gauge, KPI and card tiles; Fabric Activator for report alerts
Paginated reports	PDF and CSV reporting in Grafana Enterprise and Cloud only	Power BI paginated reports (.rdl) with Power BI Report Builder; Power BI Report Server on premises
Main trade-off	Live, alert-driven dashboards, but no business model or self-service analysis layer	Deep modelling and Microsoft integration, but Windows authoring, refresh limits and layered licensing

Key differences

Query at view time versus model then refresh

The architectural difference decides most cases. Grafana stores no copy of your data: every panel runs its query against the source for the dashboard's time range whenever the dashboard loads or auto-refreshes. That suits fast-changing operational data, and it means database load scales with dashboards, panels and viewers, so the source must be able to answer those queries quickly.

Power BI usually imports data into a semantic model and refreshes it on a schedule. Microsoft documents up to eight scheduled refresh slots a day for a model on shared capacity and 48 on Premium. With DirectQuery, visuals query the source instead, and automatic page refresh can re-query at a fixed interval: down to one second on a dedicated capacity (subject to the capacity admin's minimum, five minutes by default), but no less than 30 minutes on shared capacity. Microsoft is also retiring real-time streaming in Power BI: creation of new streaming and push semantic models is supported until 31 October 2027, and Microsoft points users to Real-Time Intelligence in Microsoft Fabric.

Where SQL lives

In Grafana, SQL is the panel. The PostgreSQL, MySQL and SQL Server editors offer a Builder mode and a Code mode with autocompletion, and macros insert the dashboard's time range and grouping. The SQL Server data source supports SQL Server 2012 or newer, Azure SQL Database and Azure SQL Managed Instance.

-- Grafana panel query, Microsoft SQL Server data source, Format: Time series
SELECT $__timeGroup(CreatedAt, '5m') AS time,
       COUNT(*) AS failed_jobs
FROM dbo.JobRuns
WHERE $__timeFilter(CreatedAt)
  AND Status = 'Failed'
GROUP BY $__timeGroup(CreatedAt, '5m')
ORDER BY 1;

In Power BI, SQL usually sits underneath. You can paste a native SQL statement when connecting to SQL Server, but calculations normally live in Power Query steps and DAX measures, which are reused by every report built on the model. In our view, that is the main reason to choose Power BI for business reporting: one governed definition of "revenue" or "active customer" rather than a SQL query copied into many panels.

Alerting

Grafana Alerting evaluates rules on queries, routes them through notification policies and delivers them to contact points including email, Slack, Microsoft Teams, PagerDuty, Opsgenie, Jira and webhooks. It is designed for on-call operations. On SQL Server, the Entra ID "Current User" authentication option does not support alerting, so alert rules need a service identity.

Power BI data alerts work on dashboard tiles pinned from report visuals, and only on gauges, KPIs and cards with numeric values. They are checked when data refreshes, notify at most once an hour or once a day, appear in the notification centre and optionally email you, and can trigger Power Automate flows. Alerts on reports use Fabric Activator. This suits business thresholds ("daily sales below target"), not incident response.

Printed and scheduled reports

Power BI has a mature answer for document-style output. Paginated reports (.rdl), designed in the free Power BI Report Builder, print every row of a table across as many pages as needed and export to PDF, Excel, Word, PowerPoint, CSV, XML and MHTML; email subscriptions deliver the full report as a PDF. Publishing to shared workspaces needs Pro or PPU. Power BI Report Server hosts the same .rdl reports on premises.

Grafana's scheduled PDF and CSV reporting is a Grafana Enterprise and Grafana Cloud feature, and its redesigned reporting feature was in public preview when checked. If formatted reports for managers, customers or auditors matter, Power BI or a dedicated reporting tool is the better fit; see the best SQL reporting tools.

Hosting and platforms

Grafana runs as a single server process from packages or Docker, or as Grafana Cloud; on Azure, Microsoft operates Azure Managed Grafana with Entra ID sign-in and built-in Azure Monitor and Azure Data Explorer data sources (its Essential tier is closed to new workspaces and scheduled for deprecation by 31 March 2027). Authoring is in the browser on any OS.

Power BI Desktop runs only on Windows (Windows 10 or Windows Server 2016 or later, 64-bit), and published content runs in Microsoft's cloud. On premises, Power BI Report Server is licensed through SQL Server 2025 Standard or Enterprise core licences, or Fabric F64 and larger reserved instances.

Pricing and licensing

Grafana. The open source edition is free. Listed on Grafana Labs' pricing page in October 2026 (USD): Grafana Cloud Free costs nothing and includes, among other limits, 3 active visualisation users per month, 10k active metric series and 50 GB of logs, with 14-day retention; Pro has a USD 19 per month platform fee plus usage above the free allowances; Enterprise requires a USD 25,000 per year spend commitment. Self-managed Grafana Enterprise is quoted, and Azure Managed Grafana is priced by Microsoft.

Power BI. Listed on Microsoft's pricing page in October 2026 (USD): Power BI Pro USD 14.00 per user per month and Premium Per User USD 24.00 per user per month, both paid yearly. Power BI Desktop and the Free licence cost nothing. Fabric capacity (F SKUs) is priced by region through Azure; on F64 or larger, viewers need only a Free licence. Microsoft is retiring Premium per-capacity (P) SKUs in favour of Fabric F SKUs.

Pricing checked on the vendors' official pages on 7 October 2026. Prices change; confirm before buying.

Where each one leads

Grafana strengths

Queries the source live, which suits fast-changing operational data
One dashboard can combine SQL tables, Prometheus metrics, logs and traces
Alerting with notification policies and more than 20 contact point types
Browser-based authoring on any OS; AGPL open source edition and a free cloud tier
Short time-series SQL thanks to macros such as $__timeFilter and $__timeGroup

Power BI strengths

Semantic models with relationships, DAX measures and row-level security
Close integration with Excel, Teams, Microsoft 365 and Fabric
Paginated reports and email subscriptions for print-ready output
Very broad connector library and Import, DirectQuery and Direct Lake modes
On-premises hosting through Power BI Report Server

Limitations

Grafana limitations

No business-user query builder or shared semantic model
Every panel refresh queries the database, so heavy dashboards add load to the source
Scheduled PDF and CSV reports require Grafana Enterprise or Grafana Cloud
AGPL obligations if you modify and serve it to others

Power BI limitations

Power BI Desktop runs on Windows only
Import models refresh at most 8 times a day on shared capacity (48 on Premium)
Automatic page refresh needs DirectQuery and has a 30-minute minimum on shared capacity
Data alerts only on dashboard gauge, KPI and card tiles, checked on refresh
Layered licensing (Pro, PPU, Fabric capacity, Report Server)

When to choose each

Choose Grafana if

You are building dashboards for engineers, operations or support teams
Data changes every few seconds or minutes and must be current when viewed
Alerts must page someone through PagerDuty, Opsgenie or similar tools
You already run Prometheus or Grafana for infrastructure monitoring

Choose Power BI if

Business users need governed reports with consistent measures
Your organisation already licenses Microsoft 365, Power BI or Fabric
You need paginated reports, Excel analysis of published models or on-premises Report Server
Data refreshed a few times a day is fresh enough

When neither is right

You want self-service BI on SQL data without per-user licences and can self-host: see Metabase vs Grafana and Power BI vs Metabase.
You need query-level database diagnostics (waits, plans, slow queries) rather than dashboards: see Prometheus vs Datadog and the best database monitoring tools.
You only need a few scheduled reports from SQL Server: see the best SQL reporting tools.
You want an Apache-licensed BI tool with a SQL IDE: see Power BI vs Apache Superset.

Final recommendation

Bottom line

Grafana is the right tool for operational visibility: live queries against the source, time-series panels, and alerting that reaches on-call staff, with SQL data shown alongside metrics and logs. Power BI is the right tool for business intelligence: modelled data, consistent DAX measures, Excel integration and paginated reports, at the cost of Windows-only authoring, refresh schedules and per-user or capacity licensing. Most organisations that have both use Grafana for engineering and Power BI for the business.

Frequently asked questions

Can Grafana replace Power BI?

Only for operational dashboards. Grafana has no semantic model, no DAX equivalent and no business-user query builder, and its scheduled PDF reporting is an Enterprise and Cloud feature. For business reporting on modelled data, Power BI or another BI tool fits better.

Can Power BI show real-time data like Grafana?

Partly. Automatic page refresh re-queries DirectQuery sources at a fixed interval, down to one second on dedicated capacity but no less than 30 minutes on shared capacity. Microsoft is retiring real-time streaming semantic models (new ones can be created until 31 October 2027) and recommends Real-Time Intelligence in Microsoft Fabric.

Can Grafana query SQL Server?

Yes. Microsoft SQL Server is a built-in data source supporting SQL Server 2012 or newer, Azure SQL Database and Azure SQL Managed Instance, with SQL Server, Windows, Kerberos and Entra ID authentication options.

Is Grafana free?

The open source edition is free under AGPL-3.0-only, and Grafana Cloud has a free tier with usage limits, including 3 active visualisation users a month. Grafana Cloud Pro, Enterprise and self-managed Grafana Enterprise are paid.

Do Power BI viewers need a licence?

Yes, Pro or PPU, unless the content sits in a workspace on a Fabric F64 or larger capacity (or a legacy P capacity), where viewers with a Free licence can open it.

Sources

Checked October 2026.

How we research comparisons: our editorial method.