Think You Need a Vector Database for AI? Think Again.
SWIRL exposes the hidden costs behind vector DBs and reveals a faster, cheaper, zero-ETL alternative.
Vector databases are everywhere: Pitched as the foundation for semantic search, RAG pipelines, and AI-native workloads. But beneath the hype lies a harsh reality:
Hidden costs. Complex integrations. Security blind spots. Infrastructure chaos.
This new white paper pulls back the curtain on the real challenges of vector DB adoption, including:
- Costly embedding pipelines and synchronization overhead
- Gaps in access controls, encryption, and auditability
- Functional limitations that cripple enterprise-grade AI
- Lock-in risk and infrastructure sprawl that’s hard to undo
And most importantly…
It shows you how to get the same benefits without a vector database at all.
You’ll learn how enterprises are using intelligent middleware like SWIRL to:
- Perform semantic and hybrid search without moving data
- Vectorize only what matters, in real time
- Respect existing permissions, governance, and compliance
- Deliver the answers AI agents need without months of ETL
Download the white paper now and take back control of your AI stack.
Because leveraging AI shouldn’t require rebuilding your enterprise.