We are proud to announce that Tiger Analytics has secured its 5th Microsoft Specialization - Kubernetes on Azure. This achievement directly reinforces our cloud-native capabilities, enabling us to deliver highly scalable, secure, and AI-driven solutions on Microsoft Azure. By securing this specialization, Tiger Analytics has also unlocked eligibility for premier, strategic ecosystem initiatives, including: - The Microsoft-Snowflake GTM Program - The Azure Migration & Modernization Program (AMMP)
We are thrilled to see two of our experts recognized in the global Microsoft Fabric community for their innovative contributions to the Fabric Semantic Link Developer Experience Challenge. Natarajan Manivasagan built the Semantic Link Model Health Security Suite, which was awarded as the Best solution for Enterprise BI, while Tharun kumar Ravikrindhi developed the Semantic Link DAX Load Test, which was awarded as the Best solution for QA. These accolades reflect the deep technical mastery our teams bring to solving tough data & AI challenges.
Tiger Analytics has earned the Snowflake Healthcare & Life Sciences Industry Competency Badge. What that means for HLS organizations running on Snowflake: - Unify research datasets to shrink drug discovery timelines - Secure data environments to meet HIPAA and GxP standards - Consolidate fragmented data for precise longitudinal analytics - Power real-time HCP engagement through Next Best Action engines The TigerTribe continues to push what's possible for HLS organizations on the Snowflake Data Cloud.
We are proud to be recognized once again as a #1 Leader in AIM Research’s PeMa Quadrant: Top Data Engineering Service Providers 2026. For us, this recognition is a validation of our commitment to moving beyond traditional setups toward agentic, AI-augmented data engineering.
Tiger Analytics has earned the Snowflake Cortex Code Preferred Partner Badge. Enterprise AI deployments have a last-mile problem. A chatbot surfaces an answer, a human reads it, decides what to do, opens another tool, and executes. The AI did one step. People still did the rest. Snowflake's Cortex Code changes where that hand-off happens. Organizations can now go from natural language business logic straight into high-performance SQL and Python, with agents that execute inside the same environment where the data sits, governed by the same security and access controls that enterprises already rely on.
We had an incredible time at Google Cloud Next 2026 last week! The highlight of the week was being honored as the Google Cloud Partner of the Year for Data & Analytics (North America)! This recognition is a testament to Tiger's dedication to solving the most complex data challenges and delivering AI at scale for our clients.
Narayanan Jayaratchagan, Application Engineering Leader at Tiger Analytics, brought that perspective to students from SRMIST_VDP_FOM, Sathyabama University, and Bharath University at a session hosted by SRMIST Vadapalani's Department of CSE and IEEE CS Student Chapter. The session focused on what it takes to build scalable, reliable systems in an AI-first world, emphasizing on the need for strong foundations in design principles, architectural thinking, and disciplined engineering practice.
AI may be ready to execute, but what do enterprises need, to let it do its job responsibly? How are organizations building deeper trust in their AI output? What does the evolution of AI-powered data platforms indicate across domains? These are some of the questions Aarti Kapur, Leader – Platform and Solutions, Tiger Analytics succinctly answers as part of a conversation with Dataquest.
We've been working with enterprises across the world to build intelligent, future-proof supply chains. We're happy to share that our efforts have earned us industry acclaim for AI in Supply Chain & Logistics at the FE AIconic Summit & Awards 2026. We continue to untangle complex problems and help our clients experience certainty for a better tomorrow, today.
A few weeks ago in the US, a conversation with Ranjita Chakravarty (Actor, Director, Theatre Artist) became a starting point for something larger, with women across our teams sharing their own journeys. Women in the room discussed about pushing through self-doubt and stereotypes, juggling the many responsibilities they carry, and building the kind of financial confidence that shapes real independence. Experiences shared, perspectives exchanged, genuine insights, and forged connections. That's the culture we're building, one conversation at a time.
