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New ISG Provider Lens report highlights growing enterprise adoption of Databricks Lakehouse for unifying data, improving governance, and scaling responsible AI deployments with partner support.
A growing number of enterprises are adopting the Databricks platform to unify their data environments and deploy responsible AI at scale, according to a new research report from Information Services Group (ISG).
Unified data and AI platforms are becoming essential for modern businesses. Organizations are turning to the Databricks Lakehouse architecture and its ecosystem services to address challenges such as fragmented data environments, governance issues, and the rising costs associated with AI adoption.
“Unified data and AI platforms are becoming the backbone of modern business. Databricks is moving to the center of enterprise data strategies, with organizations relying on experienced partners to unlock its full potential and scale AI from experimentation to real impact.”
Enterprises use the Lakehouse to reduce fragmentation and improve data consistency, which is critical for production-grade AI applications. Many companies still operate across legacy warehouses, multiple cloud platforms, and siloed systems, resulting in duplicated datasets and inconsistent metrics. Databricks enables seamless integration of structured and unstructured data in a single platform, speeding up data preparation and supporting real-time analytics for better decision-making.
Organizations are embedding AI into daily workflows to boost efficiency amid macroeconomic pressures and operational shifts. Fragmented pipelines and inconsistent data management have previously hindered broader AI integration. With Databricks and its related services, companies are expanding AI use from pilot programs to enterprise-wide deployments. Capabilities such as MLflow and Mosaic AI provide a unified framework for model development, governance, and deployment.
In response to increasing regulatory demands, enterprises are enhancing governance and cost controls through Databricks. Tools like Unity Catalog offer fine-grained access controls and lineage tracking to ensure compliance and accountability. Integrated monitoring and usage tracking help organizations gain visibility into cloud consumption, optimize workloads, and achieve measurable returns on AI investments.
“Databricks is becoming a strategic platform for enterprises seeking to align data, AI and governance at scale. Service providers play a key role in helping organizations optimize these capabilities for their unique requirements.”
The report also highlights trends such as the growing use of real-time observability features and the importance of FinOps practices in Databricks implementations.
The 2026 ISG Provider Lens global Databricks Ecosystem Partners report evaluates 32 providers across two quadrants: Modernization and AI/ML Enablement Services, and Managed Data and Optimization Services.
It names EY, IBM, Infosys, LTM, TCS, Tiger Analytics, Tredence, and Wipro as Leaders in both quadrants. Genpact is recognized as a Rising Star in two quadrants.
About ISG
ISG is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world’s top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data and research, in-depth knowledge and governance of provider ecosystems, and the expertise of its 1,500 professionals worldwide working together to help clients maximize the value of their technology investments.
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