Pricing comparison
Databricks vs Amazon Redshift
Side-by-side pricing breakdown for Data Warehouse & Analytics Engine decision-makers
Each amount uses its recorded currency; no currency conversion is applied. Confirm billing units, commitments, and current regional terms.
Compare the plan that fits your requirements
Check billing units, included usage and renewal terms. Starting prices alone do not establish an overall winner.
Dataset dated 2026-04-21. Sources: Databricks pricing and Amazon Redshift pricing.
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Recorded starting rates: Databricks Price unavailable; Amazon Redshift Price unavailable. Billing units and commitments can differ. Compare the plans that include your required features, then request quotes for the same quantity and term.
Feature Comparison
| Feature | |  Amazon Redshift |
|---|---|---|
| apache spark | Managed Spark runtime across all plans | Not recorded |
| delta lake | Open table format with ACID transactions | Not recorded |
| unity catalog | Premium+ - unified governance across data, AI, and file access | Not recorded |
| mlflow | All plans - ML lifecycle management | Not recorded |
| mosaic ai | AI/ML platform with vector search, RAG, fine-tuning | Not recorded |
| databricks sql | SQL warehouse for BI workloads | Not recorded |
| notebooks | Collaborative Python/Scala/SQL/R | Not recorded |
| workflows | Job orchestration | Not recorded |
| auto scaling clusters | All plans | Not recorded |
| photon engine | Vectorized query engine for SQL + Delta | Not recorded |
| ai agents | Databricks AI Agent framework | Not recorded |
| rbac audit logs | Premium+ | Not recorded |
| customer managed keys | Enterprise | Not recorded |
| hipaa pci dss | Not assessed by StackScored; verify scope, vendor terms, and your obligations. | Not recorded |
| private link | Enterprise | Not recorded |
| multi cloud | AWS + Azure + GCP | Not recorded |
| aws native integration | Not recorded | S3 + Lambda + Kinesis + QuickSight native |
| ra3 nodes | Not recorded | Recommended - compute and storage billed independently |
| serverless | Not recorded | Auto-scaling RPU-based |
| spectrum | Not recorded | Query S3 data lake without loading |
| materialized views | Not recorded | All editions |
| redshift ml | Not recorded | In-SQL ML via Amazon SageMaker integration |
| concurrency scaling | Not recorded | 1 free hour/day + overage |
| data sharing | Not recorded | Between Redshift accounts |
| federated queries | Not recorded | Query Aurora/RDS directly |
| automated snapshots | Not recorded | Continuous backup to S3 |
| encryption | Not recorded | KMS + HSM support |
| vpc isolation | Not recorded | All deployments |
| aws private link | Not recorded | Available |
| reserved discount | Not recorded | Up to 45% 3-year commit |
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Dive Deeper
Amazon Redshift
About the data warehouse & analytics engine category
Warehouse costs depend on workload as well as platform. BigQuery offers scanned-data and capacity pricing; Snowflake uses credits plus storage; Databricks meters different compute products in DBUs; Redshift offers provisioned and serverless compute; Fabric uses capacity SKUs with separate storage and licensing considerations. These units are not interchangeable monthly subscriptions. Compare a defined workload in the same region, including storage, ingestion, transfer and any commitment.
How to choose between data warehouse & analytics engine options
Start with data location, query frequency, concurrency and the engineering work you need. Test representative SQL queries, pipelines and any ML jobs on a realistic dataset. Measure elapsed time and billable usage together rather than comparing a credit, slot-hour, DBU or RPU in isolation. Check identity, governance, recovery and integration requirements against the exact edition and region. Include the cost of moving data and maintaining pipelines in the comparison.
Building Your Business Stack?
Decision-makers comparing tools often need more than one category. Here are related comparisons:
Frequently Asked Questions
- How do Databricks and Amazon Redshift prices compare?
- Databricks: Price unavailable. Amazon Redshift: Price unavailable. These are recorded starting prices; compare billing units, included usage and contract terms before treating them as equivalent costs.
- Which is better for my requirements, Databricks or Amazon Redshift?
- Compare the recorded features and plan limits against your requirements, then confirm them with each vendor. This page does not establish hands-on testing or an overall winner.
- What happens after the first billing term?
- Use any recorded renewal rate as a dated observation. When a future rate is missing, ask the vendor; do not assume the starting price remains unchanged.