Changes / Warehouses & lakehouses / Databricks

SKU retirementmedium impact

Databricks on AWS Standard tier reached end of life

Standard tier workspaces on Databricks on AWS were end-of-life'd, with customers required to upgrade to Premium or Enterprise by October 1, 2025.

In effectsince Oct 1, 2025 (381 days ago)

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Who’s affected

Teams that ran Databricks on AWS Standard tier workspaces. Any workspace not upgraded by 2025-10-01 was automatically moved to Premium, so the bill and feature set may already have changed.

Not affected: Databricks on Azure or GCP, and AWS workspaces already on Premium or Enterprise tier.

What it costs

The record gives no prices. The cost driver is the move from Standard to Premium or Enterprise rates on AWS, which applies to every workspace that was auto-upgraded. Compare your recent invoices against pre-October 2025 usage to see the actual change.

When to act

The change took effect on 2025-10-01, so the lead time has already passed; review invoices and workspace tiers now rather than waiting for the next renewal.

Blast radius: Billing and DBU rates for auto-upgraded AWS workspaces; any budget forecasts, chargeback reports and commit agreements built on Standard tier rates.

What should you do? decision tree

  1. you are unsure which tier your AWS workspaces are on
    Check the account console and confirm each workspace shows Premium or Enterprise, and note which were auto-upgraded on 2025-10-01.
  2. workspaces were auto-upgraded to Premium and your DBU spend rose
    Compare invoices before and after 2025-10-01 and ask your Databricks rep to review the rates against your commit.
  3. you were not using Premium-only features such as extra governance and access controls
    Consolidate or shut down idle workspaces and right-size clusters to offset the higher tier cost.
  4. you can't accept the new tier pricing
    Price out Snowflake, BigQuery or Microsoft Fabric against your workloads before your next renewal.

Options

Alternatives editorial picks, not sponsored

SnowflakeFits SQL-heavy teams wanting a managed warehouse with usage-based billing.
BigQueryFits teams already on GCP who want serverless, on-demand analytics.
Microsoft FabricFits Microsoft-centric shops pairing the warehouse with Power BI.

The facts straight from the source

Vendor / product
Databricks · Standard tier workspaces (AWS)
Change
SKU retirement
Effective
Oct 1, 2025
Customers had until this date to upgrade; remaining Standard tier workspaces were automatically upgraded to Premium on this date.
Plans affected
Standard tier
Source
docs.databricks.com
Evidence
“Databricks has announced the end of life for Standard tier workspaces on Databricks on AWS. Customers have until October 1, 2025, to upgrade existing workspaces to the Premium or Enterprise tier.”

Date as quoted: “Customers have until October 1, 2025, to upgrade existing workspaces to the Premium or Enterprise tier.”

Facts above are extracted from the source and checked word-for-word before publishing. The guidance sections are AI-assisted analysis based only on those facts: a starting point, not legal or procurement advice. Spotted an error? Tell us.

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