Databricks Single Sign-On with Monosign
Databricks Unified Analytics Platform, from the original creators of Apache Spark, unifies data science and engineering across the Machine Learning lifecycle from data…
Put Databricks behind your identity plane: one login, MFA enforced, access granted and revoked automatically with the joiner-mover-leaver lifecycle — and every authentication logged, tamper-evident.
Databricks to production in three steps.
A dedicated Databricks article is on its way. The generic setup guides in our help center cover the same flow, and the in-console template does most of the work. Browse the help center →
- 01Add Databricks in Monosign
Pick the Databricks template from the application catalog in the Monosign console. The SAML configuration — metadata, certificates, endpoints — is generated for you.
- 02Establish trust on the Databricks side
Paste the metadata/client details Monosign generated into the Databricks admin panel. The help-center article shows every field.
- 03Test, then roll out
Sign in end-to-end with a test user, then govern access with Monosign groups and policies. Every login is MFA-enforced and logged.
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Common questions.
- Which protocols does Monosign support for Databricks?
- This integration works over SAML 2.0. Monosign also supports SAML 2.0, OIDC/OAuth 2.0, SCIM, LDAP, RADIUS, and Kerberos platform-wide — so the rest of your stack connects to the same identity plane alongside Databricks.
- Can I enforce MFA on Databricks logins?
- Yes. Once Databricks is behind Monosign, every login passes your MFA policy — TOTP, push, or phishing-resistant passkeys (FIDO2) — with adaptive step-up when risk signals change.
- How long does setup take?
- For most teams, connecting Databricks takes under an hour: the template is pre-built and the steps are documented. You can test it in a free trial tenant without touching production.
- Is Databricks access revoked automatically when someone leaves?
- Yes. Joiner-mover-leaver lifecycle grants Databricks access by role and revokes it the day someone leaves — no stale accounts, and the audit trail is ready for review.
Works with the rest of your stack too.
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