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Comparison · BI & Reporting

Metabase vs Grafana

Metabase is a BI tool for answering business questions on SQL databases, with a query builder for non-technical users and a native SQL editor. Grafana is an observability and dashboard tool built around time series, with built-in PostgreSQL, MySQL and SQL Server data sources next to metrics, logs and traces. Both have AGPL open source editions and paid cloud plans.

Last verified October 2026. Versions checked: Metabase 63.19, Grafana 13.2.3. Licensing and features change; check the official sources for the latest details.

Quick verdict

Short answer

Choose Metabase when business users and analysts need to ask questions of relational data (sales by region, churn by plan, top customers), drill into tables, and receive dashboards by email or Slack. Choose Grafana when the job is operational: time-stamped data refreshed every few seconds or minutes, threshold alerting routed to on-call tools, and SQL panels shown next to Prometheus metrics and logs. Many teams run both: Grafana for engineering, Metabase for the business.

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

Metabase is a browser-based business intelligence tool. Its repository holds the open source edition, released under the AGPL, and commercial editions under the Metabase Commercial Software License. Business users build "questions" with a graphical query builder; analysts write SQL in the native query editor with variables and field filters; curated models act as reusable starting points. It runs as a single Java service (JAR or Docker) or on Metabase Cloud. The latest release on GitHub when checked was 63.19 (1 October 2026).

Grafana, from Grafana Labs, is an open source dashboarding and observability tool licensed under AGPL-3.0-only (some components are Apache 2.0); the latest release when checked was 13.2.3. Its documentation lists PostgreSQL, MySQL and Microsoft SQL Server as built-in core data sources, alongside Prometheus, Loki, Elasticsearch, InfluxDB, Tempo and cloud monitoring services. Each dashboard panel runs its own query and is usually drawn against a time range. It can be self-hosted or used through Grafana Cloud.

Side by side

AspectMetabaseGrafana
Built for Self-service BI on relational data Operational, time-series and observability dashboards
Open source licence AGPL (open source edition); commercial licence for paid features AGPL-3.0-only (some components Apache 2.0)
SQL data sources 18 official drivers, including PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery, Redshift, ClickHouse Built in: PostgreSQL, MySQL, Microsoft SQL Server (2012 or newer, Azure SQL Database, Managed Instance); Snowflake, Oracle and others as plugins, some Enterprise or Cloud only
Non-SQL sources MongoDB and Druid among the official drivers Prometheus, Loki, Elasticsearch, InfluxDB, Graphite, CloudWatch, Azure Monitor, Tempo and many plugins
Query editing Graphical query builder plus native SQL editor with variables, field filters, snippets Per-panel SQL editor with Builder and Code modes and time macros such as $__timeFilter
Semantic layer Models with editable column metadata; metrics None comparable; each panel holds its own query
Alerting Alerts on question results, goal lines and progress bars, by email, Slack or webhook Grafana Alerting: rules on queries, notification policies, more than 20 contact point types (PagerDuty, Opsgenie, Teams, Slack, webhook)
Scheduled reports Dashboard subscriptions by email or Slack with CSV, XLSX or PDF attachments (open source included) PDF and CSV reporting requires Grafana Enterprise or Grafana Cloud
Managed service Metabase Cloud (Starter, Pro, Enterprise) Grafana Cloud (Free, Pro, Enterprise); also Azure Managed Grafana
Main trade-off Approachable for business users, but not designed for second-by-second operational monitoring Strong for time series and alerting, but no business-user query builder or semantic model

Key differences

Business questions versus operational dashboards

The two tools start from different questions. Metabase assumes someone wants to understand the business: they pick a table or model, filter, group and summarise, and save the answer as a question that can go on a dashboard or be explored further by clicking into it. Its models, column descriptions and query builder exist so that people who do not write SQL can still work safely with the data.

Grafana assumes someone is watching a system: a dashboard has a time picker, panels re-query on refresh, and most visualisations expect a time column. It shines when the same screen mixes SQL data (orders per minute, failed jobs, queue depth stored in a table) with Prometheus metrics and logs from the same services. In our view it is a weak fit for ad hoc business analysis, because there is no graphical builder for business users and no shared model of measures across dashboards.

How SQL works in each

Both let you write SQL, but the conventions differ. In Metabase, a native question is ordinary SQL with optional variables in double braces and optional clauses in double brackets; field filters (WHERE {{created_at}}, written without the column name) create typed filter widgets such as date pickers. The editor runs a single read statement.

-- Metabase native question (PostgreSQL)
SELECT p.category,
       sum(o.total) AS revenue
FROM orders o
JOIN products p ON p.id = o.product_id
WHERE {{created_at}}            -- field filter mapped to orders.created_at
[[AND p.category = {{category}}]]
GROUP BY p.category
ORDER BY revenue DESC;

In Grafana, the PostgreSQL, MySQL and SQL Server query editors have a Builder mode with drop-downs and a Code mode with autocompletion; Grafana warns that Code mode changes do not transfer back to Builder. Results are formatted as a table or a time series, and a time series needs a column named time, sorted by time. Macros insert the dashboard's time range and grouping.

-- Grafana panel query, PostgreSQL data source, Format: Time series
SELECT $__timeGroup(created_at, '5m') AS time,
       count(*) AS orders
FROM orders
WHERE $__timeFilter(created_at)
GROUP BY 1
ORDER BY 1;

Both tools run whatever SQL the connection allows, so use a read-only database user. Grafana's PostgreSQL documentation says the user should have only SELECT permissions on the relevant schemas and tables, because Grafana does not validate the safety of queries.

Alerting and delivery

Grafana Alerting is built for operations. Alert rules evaluate queries from one or more data sources, notification policies route them, and contact points deliver them to more than 20 integrations, including email, Slack, Microsoft Teams, PagerDuty, Opsgenie, Jira and webhooks. On SQL Server, Grafana notes that the Entra ID "Current User" authentication option does not support alerting, so alerting rules need a service identity such as SQL Server authentication.

Metabase alerts are aimed at business events: a question that returns any rows, a time series crossing a goal line, or a progress bar reaching its goal, checked on a schedule (by the minute up to monthly, or a cron expression) and sent by email, Slack or webhook. Dashboard subscriptions send a whole dashboard on an hourly, daily, weekly or monthly schedule, optionally with CSV, XLSX or PDF attachments, even to people without a Metabase account. Per-subscription filter values are a Pro and Enterprise feature. Grafana's scheduled PDF and CSV reporting is available in Grafana Enterprise and Grafana Cloud, not in the open source edition, and its redesigned reporting feature was in public preview when checked.

Self-hosting and licences

Both open source editions are AGPL, which matters if you modify the code and offer it to others over a network. Both run as a single service with their own application database. Metabase recommends Eclipse Temurin JRE 25 or Docker, and PostgreSQL or MySQL as the production application database. Grafana is installed from packages or Docker.

The paid tiers unlock different things. Metabase's paid plans (Starter, Pro, Enterprise) add hosting, SSO, row and column-level permissions and SSO-based embedding. Grafana Enterprise and Grafana Cloud add reporting and Enterprise data source plugins: Grafana's Snowflake plugin, for example, "is available on Grafana Cloud and requires a Grafana Enterprise license for self-managed instances". If your warehouse is Snowflake and you want to self-host for free, Metabase's official Snowflake driver is the simpler route.

Pricing and licensing

Metabase. The open source edition is free to self-host with unlimited users. Listed on Metabase's pricing page in October 2026 (USD): Starter USD 100 per month (or USD 1,080 per year) with 5 users included and USD 6 per extra user per month; Pro USD 575 per month (or USD 6,210 per year) with 10 users included and USD 12 per extra user per month; Enterprise is custom, from USD 20,000 per year. Paid plans are available on Metabase Cloud or self-hosted.

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 (13-month metric retention); Enterprise requires a USD 25,000 per year spend commitment. Self-managed Grafana Enterprise is quoted. Azure Managed Grafana is priced separately by Microsoft.

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

Where each one leads

Metabase strengths

  • Graphical query builder that business users can learn without SQL
  • Native SQL editor with variables, field filters, snippets and references to models
  • Dashboard subscriptions with CSV, XLSX and PDF attachments in the open source edition
  • Broad official driver list, including Snowflake, BigQuery, Redshift and ClickHouse, at no extra licence cost
  • Models give a light shared layer of curated tables and column metadata

Grafana strengths

  • Built-in PostgreSQL, MySQL and SQL Server data sources next to Prometheus, logs and traces
  • Time-range macros make time-series SQL panels short to write
  • Mature alerting with notification policies and more than 20 contact point types
  • Large plugin ecosystem and a free Grafana Cloud tier
  • Managed options from Grafana Labs and from Microsoft (Azure Managed Grafana)

Limitations

Metabase limitations

  • Not designed for second-by-second operational monitoring or on-call alert routing
  • SSO, row and column-level permissions and SSO embedding need Pro or Enterprise
  • Native editor runs single read statements only
  • AGPL obligations if you modify and serve the open source edition

Grafana limitations

  • No business-user query builder or semantic model; every panel holds its own SQL
  • Scheduled PDF and CSV reports need Grafana Enterprise or Grafana Cloud
  • Some database plugins, such as Snowflake, require Enterprise or Cloud
  • Grafana does not validate SQL safety, so the data source user must be restricted

When to choose each

Choose Metabase if

  • Business users need to answer their own questions on SQL data
  • You want scheduled dashboard emails with spreadsheet attachments without paying for a licence
  • Your data lives in a warehouse such as Snowflake or BigQuery and you want to self-host for free
  • Analysts want SQL questions that others can filter with typed widgets

Choose Grafana if

  • You monitor systems or operations and need time-series panels that refresh often
  • Alerts must reach PagerDuty, Opsgenie or other on-call tools
  • SQL data should sit next to Prometheus metrics and logs on the same dashboard
  • You already run Grafana for infrastructure monitoring

When neither is right

Final recommendation

Bottom line

Metabase is the better choice for business intelligence: questions about customers, revenue and products, asked by people with and without SQL, and delivered on a schedule. Grafana is the better choice for operational dashboards and alerting on time-stamped data, especially when SQL tables need to sit beside metrics and logs. They overlap less than their dashboards suggest, and running both, each for its own audience, is common. For the wider open source field, see the best open source BI tools.

Frequently asked questions

Can Grafana be used as a BI tool?

For some reporting, yes: its PostgreSQL, MySQL and SQL Server data sources can chart any SQL query. It lacks a business-user query builder and a shared semantic model, so ad hoc business analysis is easier in Metabase or another BI tool.

Are Metabase and Grafana both open source?

Yes. Metabase's open source edition is released under the AGPL, with commercial features under the Metabase Commercial Software License. Grafana is licensed under AGPL-3.0-only, with some components under Apache 2.0. Both sell cloud and enterprise plans.

Which databases does Grafana support for SQL?

PostgreSQL, MySQL and Microsoft SQL Server are built-in core data sources; the SQL Server source supports SQL Server 2012 or newer, Azure SQL Database and Azure SQL Managed Instance. Other databases, such as Snowflake or Oracle, are available as plugins, and some of those require Grafana Enterprise or Grafana Cloud.

Can Metabase send scheduled reports?

Yes. Dashboard subscriptions send a dashboard by email or Slack hourly, daily, weekly or monthly, with optional CSV, XLSX or PDF attachments, including in the open source edition. Alerts can also fire when a question returns results or crosses a goal line.

Does Grafana open source include PDF reports?

No. Grafana's documentation describes scheduled PDF and CSV reporting as a Grafana Enterprise and Grafana Cloud feature; the redesigned reporting feature was in public preview when checked in October 2026.

Sources

Checked October 2026.

How we research comparisons: our editorial method.

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