Databricks Unveils GenAI Partner Accelerators for Data Engineering and Migration

Databricks announced a comprehensive ecosystem of GenAI Partner Accelerators designed to transform how enterprises handle data engineering and legacy system migrations. Over 24 consulting partners, including Cognizant, EY, Infosys, TCS, and Wipro, have built production-ready solutions on the Databricks Data Intelligence Platform using Agent Bricks to automate pipeline creation, code conversion, and data validation.

The accelerators address two critical pain points in modern data operations. First, data engineering solutions automate routine tasks like pipeline scaffolding, transformation logic generation, and data quality validation. Partners built systems supporting natural language prompts, allowing analysts to describe tasks in plain English. Second, migration accelerators tackle the complexity of moving from legacy ETL and data warehouse systems like SAS, Informatica, and Teradata to Databricks.

Organizations adopting these solutions report significant efficiency gains. Migrations accelerate by up to 70%, while manual effort drops by more than 50%. Specific implementations show even stronger results. Blend360's Trellis IQ cleared a seven-year data harmonization backlog in seven days, operating 102 times faster than manual processes. Hexaware's AMAZE reduces migration timelines by 80%, while Koantek's X2D delivers 80% automated code conversion with 60% faster completion.

The accelerators leverage the Databricks Data Intelligence Platform, including Unity Catalog for governance, Mosaic AI for model serving, and Genie for business intelligence capabilities. Partners validated their expertise through rigorous technical assessment by Databricks Partner Solution Architects. The solutions support multi-cloud deployments across AWS, Azure, and Google Cloud, helping organizations avoid vendor lock-in while scaling AI capabilities.

Beyond automation, these accelerators enable strategic transformation. Tiger Analytics' iDEA automates the complete data product lifecycle from ingestion to visualization. Persistent Systems' iAURA reduces data quality incidents by 30-40% through continuous monitoring and adaptive learning. Blueprint's Lakehouse Optimizer cuts total cost of ownership by 30% through AI-driven spend analysis and job optimization. The migration solutions preserve business logic while converting thousands of complex, undocumented packages into modern, scalable architectures.

The announcement represents Databricks' broader strategy to build an ecosystem of specialized partner solutions. The company launched its Brickbuilder Program to recognize partners demonstrating unique abilities to deliver differentiated data, analytics, and AI solutions. Partners receive co-marketing support, community visibility, and technical collaboration. Databricks plans to expand the accelerator portfolio with industry-specific solutions in upcoming releases, following earlier announcements of cross-industry GenAI accelerators for agentic AI, GenAI use cases, and LLMOps.