Databricks vs Starburst Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
| Databricks | Starburst | |
|---|---|---|
| Starts at | Custom | Custom |
| Number of plans | 7 | 4 |
| Free plan | — | |
| Free trial | ||
| Pricing model | usage-based | usage-based |
Data Engineering
- Orchestrate data processing, machine learning and analytics pipelines
- Build streaming and batch pipelines
- Ingest data from a wide variety of sources with in-built connectors
- Lakeflow Jobs
- Lakeflow Pipelines
- Lakeflow Connect
Data Warehousing
- Run SQL queries for BI reporting, analytics and visualization to get timely insights from data lakes
- Available in both Classic and Serverless (managed) Compute
Interactive workloads
- Run interactive data science and machine learning workloads
- Build and deploy custom applications with the full security and governance of the Data Intelligence Platform
- Compute for Data Science
- Databricks Apps
Operational Database
- Fully-managed Postgres transactional database for serving data and features to support applications built on Databricks
Artificial Intelligence
- Build production-quality GenAI or ML apps across any use case
- AI Gateway
- Agent Bricks
- AI Functions
- Model Serving
- Foundation Model Serving
- Proprietary Foundation Model Serving
- AI Search
- Agent Evaluation
- Model Training
- AI Runtime
Genie
- AI assistance for every team, across code, analytics, and enterprise knowledge
- Ask in natural language and get trusted, governed answers from your data
- Genie One - Enterprise Knowledge
- Genie Spaces - Natural Language Q&A
- Genie Code - AI Coding Assistant
Platform
- Cross platform capabilities for governance, management and security
- Managed services that automate the ongoing optimization and maintenance of your data lake
- Tiers and Add-ons
- Managed Services
- Data Transfer and Connectivity
- Storage
- Delta Share from SAP BDC
- Collaboration
Free
- Create and run up to 3 clusters
- Access to standard cluster execution mode for ad hoc queries
Pro
- Flexible cluster execution modes
- Streaming Ingest
- Advanced cluster management
Enterprise
Popular- Advanced autoscaling features
- Fine-grained access controls (ABAC, SCIM)
- AWS PrivateLink for data sources
- Early access to features (Private Preview)
- AIDA (token usage billed separately)
Mission-Critical
- Elite support and ticketing
- Advanced governance integrations
- Lakehouse security and compliance tools
- Highest uptime guarantees
- AIDA (token usage billed separately)
Databricks vs Starburst FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Starburst has a free plan. Databricks doesn't — though they do offer a free trial.
- How do they charge?
- Both use a usage-based model, so the comparison is straightforward — it comes down to features and limits at each price point.
- Which one is a better deal?
- Depends on what you need. Databricks: Databricks plays in the premium enterprise data platform space, competing directly with Snowflake and Google BigQuery — they're not trying to win on price, they're winning on unified platform breadth (data engineering + ML + warehousing in one place). The all-custom pricing signals they're targeting mid-market and enterprise accounts with real budget, not self-serve startups. Starburst: Starburst isn't fighting on sticker price — the credit cost actually increases as you climb tiers, which is unusual and signals they're positioning as a premium, enterprise-grade Trino distribution rather than a budget query engine. They're chasing large data teams already committed to a multi-cloud or lakehouse strategy who'll pay more for reliability and support rather than startups hunting for the cheapest compute.
Still deciding? See the best Databricks alternatives or the best Starburst alternatives, ranked with verified pricing.
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