DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
GrafanaFull-stack observability for the agentic era
Comparison · Business Intelligence · weekly run Nov 2
Databricks vs Grafana
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Databricks is the stronger AI pick in Business Intelligence: it has a visibility score of 4.3 versus 0 for Grafana.
Choose Databricks if…
- You want the brand AI engines rank higher (4.3 vs 0)
- You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Grafana if…
- AI answers describe it more positively (46% vs 35% positive)
- You need FedRAMP or NATSEC100 or PCI DSS or GDPR or CSA STAR coverage
- Permanent free tier
- Open, composable, flexible platform
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Grafana |
|---|---|---|
| Visibility score | 4.3% | 0% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #18 | #44 |
| Share of voice | 1.6% | 0% |
| Mentions this run | 8 | 0 |
| Positive in AI answers | 35% | 46% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Grafana 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksGrafana
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0Grafana ranked higher
Features, pricing & fit
| Dimension | Databricks | Grafana |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $19 / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Fully managed Grafana Cloud on Public Cloud, Federal Cloud or Bring Your Own Cloud, plus self-managed Grafana Enterprise |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | FedRAMP, NATSEC100, PCI DSS, SOC 2 Type II, GDPR, ISO 27001, CSA STAR |
| Support | Technical support on request, Technical documentation | Community support (Free plan), 8x5 email support (Pro plan), Premium support (Enterprise plan) |
| Founded | 2013 | 2014 |
| Headquarters | San Francisco, CA | New York, NY |
| Employees | 5,000+ | 1,001–5,000 |
| Funding | Round at $60B valuation, including secondary sale | Series E · $1100M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Teams that want open-standard observability without lock-in, from startups to Fortune 500 enterprises |
Plans side by side
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Grafana
- Permanent free tier
- Open, composable, flexible platform
- Strong open-source, Prometheus and OpenTelemetry support
- Cost-effective, good value
- Managed hosting
- Complex multi-dimensional usage-based billing
- Self-hosting demands significant engineering maintenance
- Capped free-tier limits
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Grafana”, https://slateindex.ai/compare/databricks-vs-grafana, data of Nov 2, 2026. Licence: CC BY 4.0.