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Databricks Genie Spaces

Databricks

Vendor

Natural-language data assistant surface for exploring selected enterprise datasets inside Databricks.

Curated by Tiberiu ArvaStale

Proprietary

Strengths

  • Natural-language access to curated datasets
  • Built on Unity Catalog governance
  • Business-insight workflow inside the Databricks workspace

Practitioner note

Better treated as a governed internal data-assistant surface than a broad office-suite copilot replacement.

Governance posture

Reviewed 2026-05-26
YesData residency

AI assistive feature using Databricks Geos; residency per workspace region.

Source
YesDeployment model

SaaS within the Databricks workspace (multi-cloud); no standalone option. (saas)

Source
YesAudit logging

Audit events to the system.access.audit system table; SQL-queryable.

Source
YesSOC 2

Databricks SOC 2 Type II across clouds.

Source
YesISO 27001

Databricks ISO/IEC 27001:2022 certified across clouds.

Source
UnknownISO 42001

No Databricks ISO 42001 certification found as of 2026-05.

UnknownEU AI Act

Assessed limited-risk by product category; no published vendor EU AI Act conformity assessment. (role: limited-risk)

YesLicense risk

Proprietary SaaS; Unity Catalog / workspace lock-in (multi-cloud eases portability). (medium)

Source

EU AI Act obligations

Risk tier: Limited risk · as of 2026-08-23

Source-backed information mapped from Databricks Genie Spaces's tracked risk tier — not legal advice. Obligations depend on how your organisation deploys the system; see the full obligation reference and timeline.

Article 4AI literacy

Providers and deployers must take measures to ensure a sufficient level of AI literacy in staff and other persons operating AI systems on their behalf.

Applies from

Official text
Article 50Transparency for certain AI systems

People must be informed when they interact with an AI system; synthetic audio, image, video, and text content must be marked as artificially generated, and deepfakes disclosed.

Applies from

Official text

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