dbt icon

dbt

★★★★★ 4.6
VS
Grafana icon

Grafana

★★★★★ 4.6
Feature dbt Grafana
Pricing Free / from $100/mo Free / from $29/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.6 / 5 4.6 / 5
Best For data-teams, analytics-engineers, bi-teams, data-driven-companies devops-teams, sre-teams, data-engineers, iot-monitoring
Founded 2016 2014
Sql Transformations
Data Testing
Documentation
Version Control
Scheduling
Lineage
Metrics Layer
Dashboards
Data Sources
Alerting
Annotations
Plugins
Loki Logs
Tempo Traces
Mimir Metrics

✓ dbt Pros

  • Industry standard for data transformation in warehouses
  • SQL-based (accessible to analysts, not just engineers)
  • Excellent testing and documentation framework
  • dbt Core is fully open-source and free

✗ dbt Cons

  • dbt Cloud pricing can be steep for large teams
  • Requires a data warehouse (does not store data)
  • Learning curve for software engineering practices

✓ Grafana Pros

  • Connects to virtually any data source
  • Beautiful and highly customizable dashboards
  • Open-source with massive community
  • Grafana Cloud includes Loki, Tempo, and Mimir
  • Alerting across all data sources

✗ Grafana Cons

  • Self-hosting requires DevOps expertise
  • Dashboard creation has a learning curve
  • Plugin quality varies

The Verdict

dbt is built for data teams and analytics engineers, with a focus on sql-transformations and data-testing. Grafana targets devops teams and sre teams and leads with dashboards and data-sources.

On pricing, Grafana is the clear winner for budget-conscious users — starting at $29/mo compared to $100/mo for dbt. That $71/mo difference adds up quickly for growing teams.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Feature-wise, Grafana offers broader built-in capabilities (8 features vs 7), while dbt takes a more focused approach — which can mean a simpler, faster onboarding experience.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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