A self-hosted, GDPR-compliant Go-based vault for secure tokenization and storage of PII, PHI, PCI, and KYC records.
Databunker is a self-hosted, open-source secure vault for tokenizing and storing sensitive personal records like PII, PHI, PCI, and KYC data. It addresses security gaps in traditional database encryption by ensuring data is never stored in plaintext and providing API-level protection against injection attacks. Built in Go, it offers GDPR compliance tools and integrates via a REST API.
Developers and organizations handling sensitive personal data who need a secure, compliant storage solution, such as those in healthcare, finance, or identity management. It is particularly suited for teams requiring GDPR, HIPAA, or PCI DSS compliance with privacy-by-design.
Developers choose Databunker over alternatives because it eliminates the false sense of security from traditional encryption by providing full API-level protection, preventing SQL/GraphQL injection attacks by design. Its self-hosted, open-source nature and built-in compliance tools offer a practical, high-performance vault for tokenization without vendor lock-in.
Secure Vault for Customer PII/PHI/PCI/KYC Records
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Prevents SQL and GraphQL injection attacks by design, as data is accessed only through a controlled REST API, eliminating vulnerabilities in traditional encryption.
Offers GDPR tools like data access, portability, and deletion out-of-the-box, simplifying adherence to privacy regulations without extra development.
Can be set up in under 10 minutes with Docker, using a simple REST API and SDKs, making it quick to deploy for secure data storage.
Generates UUID tokens for safe data referencing, ensuring sensitive information like PII is never stored in plaintext in your application database.
Requires management of underlying databases like MySQL or PostgreSQL, including backups and scaling, which adds operational complexity.
Credit-card tokenization and enterprise security features are only available in Databunker Pro, restricting the open-source version's capabilities.
Secure, hash-based indexing may not support efficient range queries or complex searches, impacting performance for some use cases.