Is Your Web Scraping Infrastructure Ready for 2026?
Every team that started with a "fast anonymization script" 3 years ago now has a 2,000-line Python monolith that no one desires to touch. The five tools listed below represent various architectural viewpoints about where anonymization belongs in your stack: at the infrastructure layer, inside the database, or as a pipeline step between environments.
shared vs private proxiesRather of running a tool versus your database, the database platform itself deals with masking when you create branches. The architecture separates compute (vanilla PostgreSQL) from storage (dispersed block storage). Branch creation is a metadata-only operation. Xata copies the index pointing to information portions, not the portions themselves. This suggests branch creation is immediate regardless of database size.
The anonymization workflow has two phases. (Xata's open-source CDC tool) to replicate from any external Postgres, RDS, Aurora, or Cloud SQL into a Xata staging reproduction. Second, developers produce instant copy-on-write branches (CoW: a storage strategy that shares information blocks between copies till changes are made, then just stores the differences) from that pre-anonymized reproduction.
shared vs private proxies
