Databricks vs Definite — Pricing, Plans, and Verified Costs (2026)
Databricks starts at Free. Definite uses custom pricing — request a quote to compare.
See price history: Databricks · Definite
The Lakehouse Platform combining data warehouse + data lake + AI/ML in one Apache Spark-based system, founded 2013 by the creators of Spark. Positioned as the open, multi-cloud alternative to Snowflake for data teams that also do ML/AI (Mosaic AI, MLflow). Distinctive for Unity Catalog governance across data + AI plus native Delta Lake open-source format. Pricing is purely usage-based via DBUs (Databricks Units) across Standard/Premium/Enterprise tiers — no monthly subscription. Publicly discussed valuation $62B (2024 Series J). Serves 12,000+ organizations including 60% of Fortune 500.
AI-native BI — connect your data warehouse (Snowflake, BigQuery, Redshift), ask questions in natural language, get dashboards. Pricing: Team $500/mo (up to 10 users), Business $2,000/mo (unlimited users + governance), Enterprise custom. Popular with mid-market data teams that want a modern BI layer without Looker's cost or complexity.
All plans compared
| Tier role | Plan | Databricks monthly | Databricks annual | Definite monthly | Definite annual |
|---|---|---|---|---|---|
| Free / starter | Standard (RETIRED) / — | Free | Free | — | — |
| Entry paid | — / Business | — | — | $2000 | $1600 |
| Teams | — / Team | — | — | $500 | $400 |
| Enterprise | Enterprise | Custom | Custom | Custom | Custom |
Tier names differ across vendors. Rows are aligned by tier role, not name. Full tier structures on each tool's page.
What each is best for
Databricks is worth it if… data teams (10-500 engineers/analysts) that need a unified platform for data engineering + analytics + ML at scale — particularly if you have big-data workloads (100GB+ daily) and want an alternative to Snowflake with better AI/ML support. Standard covers basic Spark + Delta Lake workloads; Premium adds security features (RBAC, SQL analytics); Enterprise adds compliance controls (HIPAA, PCI).
Definite is worth it if… mid-market companies that have a data warehouse and want an AI-native BI tool without Looker's implementation overhead. Team ($500/mo) suits early-stage; Business ($2K/mo) suits scale-ups.
Bottom line: Similar positioning, closer to a preference call than a strategic one.
Choose Databricks over Definite if…
Choose Databricks if…
- You're comfortable with Databricks's a free entry tier entry point.
- You match the profile Databricks is built for: data teams (10-500 engineers/analysts) that need a unified platform for data engineering + analytics + ML at scale — particularly if you have big-data workloads (100GB+ daily) and want an alternative to Snowflake with better AI/ML support.
- You need a general-purpose analytics & data option rather than a vertical-specific one.
Choose Definite if…
- You want fixed-price predictability (tiered, custom pricing).
- You match the profile Definite is built for: mid-market companies that have a data warehouse and want an AI-native BI tool without Looker's implementation overhead.
- You need a general-purpose analytics & data option rather than a vertical-specific one.
At a glance
| Databricks | Definite | |
|---|---|---|
| Free plan | Yes | No |
| Entry price | Free | Custom |
| Enterprise available | Yes | Yes |
| Pricing model | — | Tiered |
| Last verified | September 19, 2026 | — |
| Full pricing | View full pricing | View full pricing |
Pricing last verified September 19, 2026. Tracked daily.