Data platform comparison

Snowflake vs Databricks

Snowflake is the leading cloud data warehouse optimized for SQL analytics and data sharing. Databricks is built on Apache Spark and targets data engineering, ML, and unified analytics workloads.

Security and compliance comparison

Snowflake

Posture

Live data in TrustVendor workspace

Certifications tracked

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Subprocessors

Continuously monitored

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Databricks

Posture

Live data in TrustVendor workspace

Certifications tracked

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Subprocessors

Continuously monitored

View Databricks profile →

See live comparison data

Add both vendors to your TrustVendor workspace to compare posture scores, assurance levels, subprocessor counts, and open signals side by side.

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Common questions

How does Snowflake's security posture compare to Databricks?
TrustVendor tracks both vendors continuously across certifications, subprocessor lists, trust centres, and disclosed incidents. Sign in or search the vendor graph to see current posture scores, assurance levels, and evidence age for Snowflake and Databricks side by side.
Do both Snowflake and Databricks have current SOC 2 certifications?
Certification status changes over time as audits complete and reports are renewed. TrustVendor monitors SOC 2 report availability, report period, and expiry runway for both vendors. Search the vendor graph for current status.
Which vendor has more subprocessors — Snowflake or Databricks?
Subprocessor count varies and changes as vendors add or remove third-party processors. TrustVendor tracks each vendor's subprocessor page continuously and alerts when entities are added or removed. Log in to your workspace to compare subprocessor footprint across your portfolio.