Skip to main content
SaaSLens

Disclosure: Some links on this page are affiliate links. We may earn a commission if you make a purchase through these links, at no extra cost to you. This helps support our work in maintaining this directory.

dbt vs Grafana

A detailed comparison to help you choose between dbt and Grafana.

Last reviewed:
d
dbt

Analytics engineering and SQL data transformation

G
Grafana

Open-source observability and metrics visualization

FeaturedbtGrafana
Pricing ModelOpen SourceOpen Source
Free TierYesYes
Monthly Cost (Solo)$0$0
Target Audiencedevelopersdevelopers
VerifiedNoNo
Solo-FriendlyYesYes
Open SourceYesYes
Editorial Rating4.6/54.5/5
CategoriesDeveloper Tools, AnalyticsAnalytics, Developer Tools
Key FeaturesSQL-based transformations, Data testing framework, Auto-generated documentation, Dependency graph (DAG), Incremental modelsMulti-data-source dashboards, Alerting and notifications, Log exploration (Loki), Metrics (Prometheus/Mimir), Traces (Tempo)
Free Tier Quality
excellent
excellent

Pricing Breakdown

dbt

dbt Core: free (open-source). dbt Cloud Developer: free (1 user). Team: $100/month (8+ seats). Enterprise: from $500/month.

Grafana

OSS: free (self-hosted). Cloud Free: 10K metrics, 50GB logs. Cloud Pro: $29/month. Cloud Advanced: $299/month. Enterprise: custom.

Integration Overlap

Shared Integrations (1)

PostgreSQL

Only in dbt (7)

SnowflakeBigQueryRedshiftDatabricksFivetranAirbyteGitHub

Only in Grafana (7)

PrometheusInfluxDBElasticsearchAWS CloudWatchAzure MonitorMySQLPagerDuty

Use Case Fit

dbt

  • * Data warehouse transformations
  • * Analytics engineering workflows
  • * Data quality testing
  • * Data documentation
  • * ELT pipeline building

Grafana

  • * Infrastructure monitoring dashboards
  • * Application performance visualization
  • * Log analysis and exploration
  • * Business metrics tracking
  • * IoT and sensor data visualization

dbt

Pros

  • + Revolutionized analytics engineering
  • + Version control for data transformations
  • + Built-in testing catches data issues
  • + Massive community and package ecosystem

Cons

  • - SQL-only (no Python in Core)
  • - Learning curve for beginners
  • - dbt Cloud pricing is steep
  • - Requires a data warehouse

Grafana

Pros

  • + Free and open-source
  • + Connects to virtually any data source
  • + Beautiful, customizable dashboards
  • + Massive community and plugin ecosystem

Cons

  • - Self-hosted requires DevOps knowledge
  • - Can be complex to configure
  • - Alerting setup is involved
  • - Grafana Cloud free tier has limits

Editorial Verdict

Both tools are evenly matched on price. dbt excels at data warehouse transformations, while Grafana is stronger for infrastructure monitoring dashboards.

Sarah Chen

Editor-in-Chief