India’s estimated four million developers are playing a pivotal role in MongoDB’s rise as a premier platform for modern data and AI workloads. Far from being merely a NoSQL database, MongoDB now offers features such as integrated vector search, full‑text indexing, real‑time streaming, and secure JSON document storage—eliminating the need for multiple, separate databases.

Sachin Chawla, vice president for India and ASEAN, highlights broad adoption across sectors: Tata Digital built its massive Tata Neu super‑app on MongoDB; Nbfc Capri Global uses vectorisation for credit decisions; SonyLIV replatformed its CMS for performance gains of nearly 98 percent; and Zomato employs MongoDB for order tracking, partner onboarding, and real‑time services. Large enterprises like Canara HSBC Life, Tata AIG, and Hindustan Times are also leveraging the platform for core banking, insurance claims, content publishing, and data analytics.

The startup and digital‑native economy is embracing MongoDB’s platform approach as well. AI‑driven firms such as Devnagri, Ambee, Inovaare, Observe.AI, PhysicsWallah, Flobiz, Darwinbox, and Upstox rely on its multi‑model capabilities to handle unpredictable and expansive data needs efficiently. A recent NASSCOM estimate suggests that nearly half of Indian startups will integrate edge and vector search platforms like MongoDB in the next 18 months.

MongoDB is backing this momentum with heavy investment in India: nearly 700 employees—including a dedicated engineering team—support regional R&D and innovation. Its upskilling pipeline is noteworthy too: over 360,000 Indian learners are enrolled via MongoDB University, and a combined ambition is set to train 500,000 developers in partnership with academic bodies and platforms like AICTE and GeeksforGeeks. Regular Developer Days, meetups, and community engagement further amplify adoption and awareness.

Enterprise adoption reflects deepening confidence: more than 3,000 organisations now run MongoDB in India, a market contributing to its global growth trajectory alongside other fast‑growing regions. With the subcontinent’s booming cloud and AI economy, MongoDB continues to position itself at the forefront—empowering developers to build modern, scalable, AI‑ready applications with a single, unified data layer.