Duality Query vs Vaultree Data-In-Use Encryption: Side-by-Side Comparison (2026)

Duality Query: Privacy-preserving query platform using FHE to query encrypted, siloed datasets. built by Duality Technologies. Core capabilities include Quantum-secure confidential queries over encrypted structured and unstructured datasets, Zero Footprint querying — data never moves or is replicated, Fully Homomorphic Encryption (FHE) powered computation on encrypted data..

Vaultree Data-In-Use Encryption: Data-in-use encryption enabling operations on encrypted data without decryption. built by Vaultree. Core capabilities include Fully Homomorphic Encryption (FHE), Searchable Encryption, Multi-Key Encryption..

Both serve the Confidential Computing market but differ in approach, feature depth, and target audience.

Duality Query differentiates with Quantum-secure confidential queries over encrypted structured and unstructured datasets, Zero Footprint querying — data never moves or is replicated, Fully Homomorphic Encryption (FHE) powered computation on encrypted data. Vaultree Data-In-Use Encryption differentiates with Fully Homomorphic Encryption (FHE), Searchable Encryption, Multi-Key Encryption.

Duality Query is developed by Duality Technologies. Vaultree Data-In-Use Encryption is developed by Vaultree. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Duality Query and Vaultree Data-In-Use Encryption serve similar Confidential Computing use cases: both are Confidential Computing tools, both cover Encryption. Review the feature comparison above to determine which fits your requirements.