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Recognised Leader in Databricks
Ecosystem by ISG

For enabling scalable, secure, cost-efficient transformation on Databricks

Modernisation And AIML Enablement Services Badge
Managed Data And Optimization Services Badge

The Tiger Analytics Edge

Modernisation and AI/ML Enablement Services

  • Outcome-Led Transformation:
    • Turn Databricks investments into measurable business impact across customer, workforce, and supply chain.
  • Industry-Ready AI at Scale:
    • Accelerators convert Databricks capabilities into real-world outcomes across industries and critical use cases.
  • Deep Co-Innovation with Databricks:
    • Accelerate enterprise AI adoption through deep Databricks alignment and joint solution execution.

Managed Data and Optimization Services

  • Maximized ROI Through Cost Intelligence:
    • Optimize Databricks consumption with structured DBU governance to drive efficiency at scale.
  • Governed Operational Evolution:
    • Seamlessly embeds Unity Catalog, security, and operational controls for continuous compliance in live environments.
  • Production-Ready AI at Scale:
    • Operationalize ML and GenAI with end-to-end lifecycle management, automation, and responsible AI guardrails.

From the Analyst Desk

“Tiger Analytics sustains modernization, AI, and analytics consumption – with the governance and cost discipline enterprises actually need.”

Gowtham Sampath

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

Hemangi Patel

Senior Manager, Principal Analyst, ISG

Leadership Across Databricks Ecosystem Services

Discover the ISG Verdict

See what earned Tiger Analytics its Leader position, straight from the analysts.

Explore our Databricks Partnership

From co-innovation to enterprise scale, see what we build together with Databricks.

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FAQ
Q1. Why does leading in both ISG quadrants matter when choosing a Databricks partner?

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.

Q2. CXO: We’re already on Databricks. How do we stop leaving value on the table?

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.

Q3. How fast can Tiger Analytics actually move the needle on AI and ML delivery?

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.

Q4. How do we prevent Databricks from becoming an expensive, ungoverned sprawl?

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.

Q5. Every Databricks partner claims deep expertise. Why Tiger Analytics?
  • We tie every capability to a measurable business outcome.
  • Our Databricks co-innovation relationship keeps your investment future-proof.
  • We stay as a sustained ownership partner, not a build-and-exit consultant. Two ISG Leader recognitions say it better than we can.
Q6. How can we move from pilot AI projects to enterprise-scale production?

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.

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