For enterprise buyers, engaging with a leader in both quadrants means one partner who owns the full Databricks lifecycle, from platform buildout to production AI, without the handoff risk of splitting vendors.

“Tiger Analytics sustains modernization, AI, and analytics consumption – with the governance and cost discipline enterprises actually need.”
Gowtham Sampath
Assistant Director and Principal Analyst, ISG
“Tiger Analytics integrates cost governance and operational discipline into a model that keeps Databricks platforms evolving – efficiently, continuously, at scale.”
Hemangi Patel
Senior Manager, Principal Analyst, ISG
For enterprise buyers, engaging with a leader in both quadrants means one partner who owns the full Databricks lifecycle, from platform buildout to production AI, without the handoff risk of splitting vendors.
This is exactly how we begin any engagement. We embed structured DBU governance, Unity Catalog controls, and ML operationalization directly into your live environment, turning under-utilized infrastructure into sustained, measurable returns. No rip-and-replace. Just business results.
Speed and repeatability. Our industry-specific accelerators, built on years of Databricks co-innovation, compress 12–18 month timelines dramatically. ISG specifically cited our repeatable solution constructs as a key differentiator. Enterprises inherit a head start, not a blank page.
Governance has to be designed in, not bolted on. We integrate Unity Catalog, access controls, and operational triage from day one. ISG recognized our post-deployment ownership model as a sustained mechanism for platform evolution. Any enterprise environment gets more controlled and more efficient over time, not less.
We enable production scale AI by integrating model lifecycle management, governance automation, and reusable solution frameworks into the Databricks ecosystem. This ensures models move quickly from experimentation to deployment while maintaining reliability, transparency, and compliance across the enterprise.