Databricks vs Teradata 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 pricing | Teradata pricing | |
|---|---|---|
| Starts at | Custom | Custom |
| Number of plans | 7 | 3 |
| Free plan | — | — |
| Free trial | — | |
| Pricing model | usage-based | hybrid |
Price is one row. To weigh the features too, use our feature comparison template →
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
Select
Assured
Sovereign
Popular- Active and elastic compute
- Advanced compliance controls
- Priority support
Databricks vs Teradata 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?
- Neither has a free plan. But Databricks offers a free trial.
- How do they charge?
- Different approach here. Databricks uses usage-based pricing, while Teradata goes with hybrid. That changes the math depending on your team size and usage.
- 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. Teradata: Teradata plays the premium, enterprise-grade lane against Snowflake, Databricks, and BigQuery — nobody's coming here for a cheap self-serve trial since there isn't one, and every price is gated behind a sales conversation. They're chasing large enterprises with messy hybrid/multi-cloud estates and strict governance needs, not startups optimizing spend.
Still deciding? See the best Databricks alternatives or the best Teradata alternatives, ranked with verified pricing.
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