Microsoft SEAL vs Stoffel: Side-by-Side Comparison (2026)

Short answer

Cryptography teams and researchers building privacy-preserving applications need Microsoft SEAL because homomorphic encryption lets you compute directly on encrypted data without ever exposing plaintext, eliminating a whole class of data exposure risks. The library supports BFV and CKKS schemes across Windows, Linux, and macOS with active maintenance reflected in its 3,862 GitHub stars and regular updates. Skip this if your organization needs a turnkey data masking product with UI-driven policies; SEAL requires deep cryptographic expertise and development resources to implement correctly. Enterprise security teams processing sensitive data across distributed systems need Stoffel if your compliance burden hinges on proving you never expose plaintext to computation. Its secure multi-party computation architecture lets you aggregate or analyze data without centralizing it, which directly satisfies PR.DS requirements that most platforms only check the box on. The four-person team and self-hosted deployment mean you're betting on a young vendor with limited support infrastructure, so this is for organizations willing to own the integration work in exchange for genuine cryptographic privacy guarantees rather than access controls.