ETL Tailored for Industry Standards

HIPAA Ready Data Ingestions

Healthcare organizations handle complex Protected Health Information (PHI) across fragmented EHR systems, clinical laboratories, and billing networks. Keeping this data secure is not just a best practice—it is a federal law.

DataKnits provides built-in tools supporting **HIPAA alignments**, enabling local containerized environments within private VPC networks, local AES-256 field encryption, and complete user access logging.

• ✓ PHI Masking Nodes: Instantly hash or salt SSNs, birth dates, and names at ingestion.
• ✓ Role-Based Access (RBAC): Strict developer canvas controls tied to enterprise Active Directory.
• ✓ Full Audits: Tracks every visual design change, node deletion, and Git commit.

Security Architecture Highlight

Private VPC Isolation

We do not host your clinical datasets in a shared cloud database. DataKnits compiles visual designs into native Scala or PySpark jobs that run directly inside your clinical network bounds, guaranteeing absolute data residency.

High-Performance Stream Highlight

Lightweight Streaming CDC

Minimize CPU impact on core financial registers. Our compiler generates low-latency Scala structured-streaming jobs that capture change logs, encrypt cardholder data locally, and route changes to audit ledgers.

PCI-DSS Compatible Pipelines

Banks, fintech pilots, and global payment networks process millions of cardholder transactions daily. These structures require extreme data security, low-latency Change Data Capture (CDC), and robust ledger reconciliation.

DataKnits enables **PCI-DSS compliant** data pipelines. Design visual schemas that mask primary account numbers (PAN), encrypt routing codes, and stream database deltas cleanly to secure warehouses.

• ✓ Tokenization Transforms: Securely map tokenizers to clear transactional payloads.
• ✓ Hardware-Security-Module Connect: Direct integration with cloud KMS keys.
• ✓ Immutable Version Control: Git history logs ensure complete code change transparency.