Organizations are facing mounting challenges as they strive to modernize data infrastructure in the era of AI. Manual migration processes and complex, fragmented data pipelines often hinder progress, making it difficult to fully leverage AI and analytics.
GenAI Partner Accelerators, introduced by Databricks and its partners, directly address these barriers by automating critical data engineering and migration tasks. This results in easier transitions from legacy systems and unlocks new value from enterprise data.
Two Core Categories of GenAI Solutions
GenAI Partner Accelerators are grouped into two main solution categories: Data Engineering and Data and Platform Migration. Both categories utilize AI and agentic automation to dramatically reduce manual work, lower costs, and speed up project delivery.
- Data Engineering Accelerators: Automate the creation of data pipelines, data transformation, and quality checks. Many tools allow users to initiate processes using plain English prompts, resulting in quicker, more reliable pipeline development and enhanced data quality.
- Data and Platform Migration Accelerators: Streamline the migration from legacy ETL and data warehouse systems to Databricks by parsing current jobs, converting scripts, mapping dependencies, and validating outcomes. This approach slashes migration timelines and improves accuracy.
Transforming Data Engineering with GenAI
Databricks partners are leveraging GenAI and Agent Bricks to create solutions that go beyond automation. These tools generate optimized code, refine logic, and ensure scalable data validation. Notable examples include:
- Blend360 Trellis IQ: Uses LLMs to accelerate data harmonization, achieving transformations up to 100 times faster with high accuracy.
- Blueprint Lakehouse Optimizer: Applies AI for cost, performance, and governance optimization, translating telemetry into actionable steps.
- Celebal Technologies Eagle Eye: Offers continuous AI-driven data observability and anomaly detection for compliant analytics.
- Infosys DE.AI: Functions as an intelligent coding assistant, accelerating code generation, refactoring, and migration from legacy platforms.
- Tiger Analytics IDX & iDEA: Blends metadata-driven automation and conversational agents to modernize lakehouses and deliver data products faster.
These accelerators enable teams to minimize manual tasks, focus on strategic initiatives, and maintain strong data governance at scale.
Streamlining Data and Platform Migration
Migration from outdated ETL, data warehouses, and analytics platforms is notoriously challenging. GenAI-powered migration accelerators significantly reduce complexity, cost, and risk by automating code translation, dependency mapping, and validation tasks.
- Cognizant Cloud Data Migration Factory: Employs AI co-pilots and LLMs to automate end-to-end migrations, driving down costs and timelines by up to 60% while ensuring security and governance.
- Entrada SASquatch & EXL Code Harbor: Automate migrations from SAS and other legacy systems to Databricks, utilizing AI to support diverse ETL and database environments.
- Hexaware Amaze & LTIMindtree Scintilla.ai: Convert SAS workloads to PySpark via GenAI for more efficient and accurate migrations.
- Koantek X2D & Xebia Agentic Data Pipeline Migrator: Orchestrate large-scale migrations with automated code conversion, validation, and robust governance.
Through these solutions, organizations can unlock siloed data, decrease manual labor, and adopt AI-ready platforms more rapidly.
Building a Partner Ecosystem and Driving Industry Change
Over 24 consulting and integration partners now offer production-ready GenAI accelerators through Databricks. This robust ecosystem provides a unified platform and a growing array of AI-powered tools to boost productivity, ensure compliance, and enhance engineering outcomes. Companies across finance, retail, healthcare, and other sectors are already seeing benefits such as faster migrations, reduced costs, and greater capabilities in analytics and AI.
The following partner offerings help with data engineering tasks such as building and modifying data pipelines, data modeling, performing data transformations and validating data quality:
- Blend360 Trellis IQ
- Blueprint Lakehouse Optimizer
- Celebal Technologies Eagle Eye - Data Observability Accelerator
- Elastacloud Chat QnA
- EXL EXLdata.ai
- EY Data Fusion
- Infosys DE.AI
- LTIMindtree SSIS to PySpark Migration
- Persistent Systems iAURA Data Observability
- Persistent Systems iAURA Data Modeler & Mapper
- Slalom LakeSpeak - An MCP Client with Genie Support
- TCS Agentic Ops
- Tiger Analytics Intelligent Data Express (IDX)
- Tiger Analytics iDEA (Intelligent Data Engineering Agent)
- Tiger Analytics Automated Data Quality (ADQ)
- zeb Agentic MDM for FSI
- zeb Retail Agentic Data Activation
Reduce migration bottlenecks and say hello to a smarter, faster, and more cost-effective path to modernization with migration accelerators listed below:
- Cognizant Cloud Data Migration Factory
- Entrada SASquatch
- EXL Code HarborTM: SAS to Databricks Migration Accelerator
- Hexaware Amaze Migration Accelerator
- Indicium AI Migration Agents (Prompt2Pipeline)
- Infogain iRAPID SAS to Databricks Migration Accelerator
- Insight Agentic Data Architect & Modeler
- Koantek X2D Migration Accelerator
- LatentView MigrateMate
- LTIMindtree Scintilla.ai (SAS to Python/PySpark Migration)
- Persistent Systems iAURA Agentic ETL & DWH Migration
- Shorthills AI KodeBricks
- Wipro Legacy Modernization Tool
- Xebia Agentic Data Pipeline Migrator
- Zensar Technologies ZenseAI.Data
Visit the Databricks blog for details on each Agent here
Takeaway: Advancing Your Data Modernization Journey
GenAI Partner Accelerators from Databricks and its partners mark a transformative step in enterprise data modernization. By automating the most time-consuming aspects of data engineering and migration, these solutions free up teams to pursue higher-value initiatives and accelerate the path to AI-driven innovation. Whether your goal is to streamline engineering or migrate legacy platforms, the Databricks partner ecosystem is equipped to help you achieve a modern, data-driven enterprise.
Let's Navigate Your Data Modernization Journey Together
Thanks for reading! The Databricks partner ecosystem is a powerful example of how collaboration and AI can reshape data engineering. But with so many options available, choosing the right path forward requires experience and a clear-eyed view of your business needs. I've spent over 20 years working alongside startups, universities, and multinational tech companies, helping them turn complex data streams into actionable business outcomes through custom software and intelligent automation.
Whether you're evaluating migration accelerators, building new data pipelines, or integrating GenAI into your existing workflows, having an experienced partner makes all the difference. I'd love to help you navigate your modernization journey and design solutions tailored to your goals. Let's connect for a free consultation to discuss how my software development and automation expertise can help you unlock your data's true potential.
Databricks GenAI Partner Accelerators Are Powering Data Engineering and Migration