Does MLflow itself have a paid subscription to cancel?

No. MLflow (mlflow.org) is 100% open-source software under the Apache 2.0 license and is completely free. There is no subscription or cancellation process on mlflow.org. If you are paying for MLflow, you are using Databricks Managed MLflow, which is part of a Databricks platform subscription.

What happens to my data after I cancel Databricks?

You immediately lose access to all workspaces, notebooks, and data upon cancellation. Customer content stored in workspaces is deleted within 30 days. Cancellation is permanent — you cannot reactivate a canceled plan, and you cannot sign up again using the same email address.

Can I reactivate my Databricks account after canceling?

No. Databricks explicitly states that cancellation is permanent and you cannot reactivate a canceled plan. If you want to use Databricks again, you would need to sign up with a different email address.

Does canceling via AWS Marketplace cancel my Databricks subscription?

No. Canceling in AWS Marketplace only removes that payment method — it does NOT cancel the Databricks plan itself. You must cancel directly through the Databricks Account Console Settings page.

How do I fully delete my Databricks account (not just cancel the plan)?

Canceling the plan and deleting the account are two separate actions. To fully delete your account and free up your email address, contact Databricks support at help.databricks.com or email help@databricks.com after canceling your plan.

How do I cancel a Databricks Community Edition (free tier) account?

Databricks Community Edition has no self-serve deletion option. You must contact help@databricks.com and request account removal. Databricks may also delete inactive free accounts after a prolonged period of inactivity.

Como cancelar MLflow (Databricks) (2026)

Os planos do MLflow (Databricks) começam em US$ 0,00/mês. Siga nosso guia de 6 passos para cancelar sua assinatura em cerca de 10 minutos — com dicas para evitar ofertas de retenção.

Atualizado: abril de 2026

de US$ 0,00/mês

(≈ € 0,00)

Médio

Tempo estimado:10 minutos

Método Cancelar:Website

Understand what you're canceling

MLflow (mlflow.org) is 100% open-source and free — there is no MLflow subscription to cancel. If you are using Databricks Managed MLflow, you need to cancel your Databricks platform subscription. The cancellation process varies by cloud provider (AWS, GCP, or Azure).

Back up your data

Before canceling, export all notebooks and data you want to keep. Also terminate all compute resources in all workspaces and delete all Unity Catalog metastores in your account, as cancellation immediately removes access to everything.

Log in to Databricks Account Console

Go to accounts.azuredatabricks.net (Azure), accounts.cloud.databricks.com (AWS), or accounts.gcp.databricks.com (GCP) and sign in as an account administrator.

Navigate to Settings (AWS) or Marketplace (GCP)

AWS: In the left sidebar click 'Settings', then click the 'Manage your plan' dropdown and select 'Cancel plan'. GCP: Go to the Databricks listing on Google Cloud Marketplace, click 'MANAGE ORDERS', find your subscription row, click the three-dot kebab menu, and select 'Cancel purchase'. Azure: Cancellation must be done through the Azure portal (portal.azure.com) by canceling the Azure subscription itself — there is no Databricks-side cancel button.

Confirm cancellation in dialog

A confirmation dialog will appear warning that cancellation is permanent. Click 'Cancel plan' (AWS) or confirm the cancellation (GCP) to proceed. On AWS, the warning reads: 'Cancelling your Databricks plan is permanent and terminates your relationship with Databricks. You cannot reactivate a cancelled Databricks plan.'

Contact support if on enterprise contract or Azure

If you signed an enterprise contract with Databricks, self-serve cancellation is not available — contact your Databricks account team directly. For Azure, cancel the Azure subscription via portal.azure.com under 'Subscriptions' > your subscription > 'Cancel subscription'.

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Perguntas frequentes

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