Merge is built to scale for enterprise and AI use cases

Paragon’s ACL approach is extremely inefficient, black-boxed, and fundamentally unscalable

• Paragon requires you to call their Permissions API at the time of document retrieval, introducing latency and runtime risk
• Merge de-risks this by embedding ACLs, so permissions are indexed and referenced locally

• Paragon’s Permissions API is a complete black box that returns only yes/no checks. There is no visibility into ACL structure or permission inheritance and no control over ACL logic
• Merge exposes normalized ACLs, providing complete visibility and control over your permissions system to ensure no data leakage

• Paragon’s sync frequencies don’t scale; by offering non-optimal sync frequencies, you’re forced to test third-party rate limits
• Merge’s standardized sync frequencies are tested against the largest enterprise systems for reliability and scalability

Trusted by the top AI companies, Merge continuously syncs and normalizes ACLs, delivering the most accurate and scalable foundation for enterprise-safe RAG pipelines.

Paragon has poor documentation and slow, unreliable customer support

Paragon lacks the resources to support you. Their docs don’t have their rate limits, making it impossible to assess sync reliability. They also offer unreliable support, with slow responses and poor guidance.

Merge’s documentation is clear. Merge prioritizes your success from implementation to adoption, with global support hours, a 5/5 median CSAT score, and average response times under one hour.