Bengaluru: IT services giant Wipro is deepening its collaboration with Databricks to help enterprises modernize their data infrastructure, accelerate artificial intelligence (AI) adoption, and build scalable analytics capabilities.
As a Databricks Global Elite Partner, Wipro has established itself as one of the leading implementation partners, supporting organizations with cloud migration, data modernization, governance, and AI-driven innovation. The company has successfully delivered more than 100 Databricks implementations across 300 enterprise use cases spanning multiple industries.
Backed by a dedicated team of over 1,500 engineers and consultants, Wipro is enabling organizations to modernize legacy data environments while unlocking greater business value through advanced analytics and AI-powered decision-making.
Driving Enterprise Data Modernization
Wipro’s collaboration with Databricks focuses on helping businesses migrate from traditional data platforms to modern cloud-native architectures.
Its migration capabilities include transitioning workloads from legacy data warehouses such as Teradata, Oracle, and Microsoft SQL Server, as well as replacing conventional ETL platforms including Informatica and IBM DataStage.
These modernization initiatives are powered by the company’s Wipro Data Intelligence Suite (WDIS), which simplifies migration processes and accelerates enterprise transformation.
The platform also supports organizations in implementing Databricks Unity Catalog, providing a user-friendly interface for data governance, metadata management, and secure access control across enterprise data environments.
Responsible AI at the Core
Wipro said its approach emphasizes Responsible Data and AI, helping organizations deploy artificial intelligence solutions supported by trusted data, governance frameworks, and operational guardrails.
The objective is to enable enterprises to generate AI-driven insights while maintaining transparency, compliance, and data integrity throughout the decision-making process.
Delivering Business Outcomes Across Industries
The partnership has already produced measurable business results for customers operating across sectors.
According to Wipro, its Databricks-powered solutions have helped:
- Improve customer experience at a major international airport
- Reduce total cost of ownership (TCO) by nearly 40% for a leading energy company through modernization initiatives
- Increase request-for-quote (RFQ) productivity by approximately 50% for a large retail enterprise
These outcomes demonstrate how organizations are leveraging unified data platforms to improve operational efficiency while supporting digital transformation initiatives.
Industry Recognition
Wipro’s capabilities within the Databricks ecosystem have earned multiple industry recognitions, including:
- Databricks Innovation Partner of the Year – 2026
- Databricks Innovation Partner of the Year – 2024
- Databricks Banking Partner of the Year – 2025
These awards reflect the company’s continued investment in delivering enterprise-scale data engineering and AI transformation projects.
Comprehensive Data and AI Services
Wipro’s Databricks practice offers end-to-end services covering strategy, implementation, engineering, and advanced analytics.
Strategy and Governance
The company’s advisory teams help organizations develop enterprise-wide data, analytics, and AI strategies aligned with long-term business objectives.
Its consulting services include:
- Data maturity assessments
- AI transformation roadmaps
- Data governance frameworks
- Data mesh implementation
- Data marketplace strategies
- Cost optimization and data economics
- Unity Catalog deployment and governance
Data Engineering
Wipro supports organizations in building scalable, cloud-native data ecosystems through services such as:
- Hadoop modernization
- Legacy data warehouse migration
- ETL modernization
- Greenfield Lakehouse implementation
- Lakehouse reference architecture
- Capacity planning
- Low-code and no-code data engineering solutions
These capabilities enable enterprises to modernize infrastructure while improving data reliability and operational efficiency.
Data Science and AI
The partnership also delivers end-to-end data science services that span the complete AI lifecycle.
Its capabilities include:
- Data preparation
- Machine learning model development
- Migration of legacy ML pipelines
- Modernization of R, SAS, and Python workloads
- Cloud-native AI deployment
- Enterprise analytics solutions
By integrating data engineering with AI and machine learning, Wipro aims to help organizations accelerate innovation while generating greater value from enterprise data assets.
Growing Demand for Data and AI Transformation
As enterprises continue investing in artificial intelligence, cloud computing, and advanced analytics, demand for modern data platforms is increasing rapidly.
Organizations are increasingly replacing fragmented legacy systems with unified Lakehouse architectures that simplify data management, improve governance, and support AI applications at scale.
Through its strategic partnership with Databricks, Wipro is positioning itself to help enterprises modernize their technology environments while delivering measurable business outcomes across industries.
Ruchi Kumar is the associate editor at Entrepreneur News Network and TVW News India, where she leads editorial strategy, brand storytelling, and startup ecosystem coverage. With a strong focus on innovation, business, and marketing insights, he curates impactful narratives that spotlight India’s evolving entrepreneurial landscape. She has written extensively on fintech, AI and emerging startups.