Acante Data Security Observability vs Duality Platform: Side-by-Side Comparison (2026)

Acante Data Security Observability

Teams securing Databricks lakehouses with sensitive data at scale should start with Acante Data Security Observability; it's the only platform purpose-built for PII discovery and access control in lakehouse environments rather than retrofitted from data warehouse tools. Agent-free deployment and native Databricks integration mean you're monitoring notebooks, models, and delta shares without infrastructure overhead, while automated PII classification and leakage detection directly map to NIST PR.DS and DE.CM. Skip this if your data lives primarily in traditional data warehouses or your Databricks usage is exploratory rather than production-heavy; the ROI hinges on having sensitive data and governance-conscious users already embedded in the lakehouse.

Duality Platform

Mid-market and enterprise organizations that need to collaborate on sensitive data without exposing raw datasets will find Duality Platform's value in query-level encryption; you can run analysis across external data while both parties keep information private, which is genuinely rare. The platform covers PR.DS and ID.AM through its multi-layer privacy-enhancing tech stack (homomorphic encryption, secure multiparty computation, federated learning, trusted execution), and the federated analytics capability means data never leaves each participant's control. Skip this if your use case is internal data governance within a single organization; Duality is built for cross-party collaboration, not for locking down your own data lakes.