Astronomer vs Databricks Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Astronomer Databricks
Starts at Custom Custom
Number of plans 5 7
Free plan
Free trial
Pricing model usage-based usage-based

Developer

Custom
  • AI-powered Dag authoring & debugging
  • Flexible, scale-to-zero compute
  • Hibernating deployments
  • API access
  • Deployment rollbacks

Team

Custom
  • End-to-end observability & data quality
  • Network isolation with Dedicated clusters
  • High availability deployments
  • Audit logging (7-day retention)
  • 24x5 support availability

Business

Custom
  • SSO enforcement
  • CI/CD enforcement
  • Audit logging (90-day retention)
  • 24x7 support availability (1 hour SLA)

Enterprise

Custom
  • Remote execution agents
  • Cross-region Disaster Recovery (add-on)
  • Custom RBAC
  • SCIM provisioning
  • IP access list
  • Organization dashboards

Astro Private Cloud

Custom
  • Manage deployments across multiple clusters and regions
  • Air-gapped deployment support
  • Enterprise SSO integration
  • Deployment isolation
  • Dynamic resources management
  • In-place Airflow upgrades
  • Houston API access
  • Professional services installation assistance
  • 24/7 committer-led support

Data Engineering

Custom
  • 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

Custom
  • 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

Custom
  • 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

Custom
  • Fully-managed Postgres transactional database for serving data and features to support applications built on Databricks

Artificial Intelligence

Custom
  • 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

Custom
  • 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

Custom
  • 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

Astronomer vs Databricks 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 Astronomer and Databricks 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. Astronomer: Astronomer is positioning as the managed Airflow premium — not the cheapest way to run pipelines, but cheaper than building and maintaining your own Airflow infrastructure at scale. They're going after data engineering teams already bought into Airflow who want to offload ops, competing with MWAA and Cloud Composer on convenience and Airflow fidelity. 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.

Keep tabs on both.

We'll monitor pricing changes for Astronomer and Databricks and let you know when something moves.

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