• BERANDA > Interview-2025 > MongoDB > With data trust being critical today, how does MongoDB ensure its platform adheres to regulatory compliance while continuing to evolve – without compromising reliability, backwards-compatibility and performance at scale?

With data trust being critical today, how does MongoDB ensure its platform adheres to regulatory compliance while continuing to evolve – without compromising reliability, backwards-compatibility and performance at scale?

Data trust and adherence to regulatory compliance are the bedrock of our platform and a fundamental necessity for any financial institution. We treat these requirements as a catalyst for innovation, not a constraint.

1. Security and Compliance Automation: MongoDB Atlas holds critical certifications (such as ISO, SOC 2, and PCI DSS). We automate compliance through features like Resource Policies, which allow organizations to enforce guardrails—such as mandating cluster deployment only in approved cloud regions.
2. Industry-First Encryption: Our unique Queryable Encryption is a game-changer for data trust. It allows institutions to run complex queries on sensitive data while the data remains fully end-to-end encrypted throughout its lifecycle, drastically reducing the attack surface and demonstrating superior data protection capabilities.
3. Data Residency and Sovereignty: Whether running on-premise, in a private data center, or in a public cloud environment, MongoDB is architected to meet stringent national sovereignty and local regulatory requirements. Our core platform features, including Zone Sharding and geo-fencing controls, allow financial institutions to precisely control where data resides. This ensures sensitive data (like customer PII or transaction history) never leaves designated jurisdictions, guaranteeing compliance without sacrificing a unified, global operational view or performance.
4. Commitment to Reliability and Backwards Compatibility: We offer an industry-leading 99.995% uptime SLA for production deployments. Critically, we maintain rigorous backwards compatibility protocols across major version releases. This commitment ensures that financial institutions can adopt the latest features for performance and scale without the massive, disruptive, and risky migration projects typically associated with legacy database upgrades.

Scaling by Design (Optimized Data Retrieval): Our native architecture uses horizontal sharding to distribute workloads across nodes, providing the elastic scale necessary to handle high-volume applications. Furthermore, for globally distributed applications, our system is designed to optimize data retrieval by automatically querying the nearest available replica nodes. This intelligent routing minimizes network latency and ensures that financial applications remain highly responsive, regardless of the user’s geographical location.