Companies starting their analytics modernization journey with a move to Databricks can rapidly transition using Nousot’s migration accelerator. This solution employs a revolutionary, proprietary generative AI technology to efficiently move existing ETL and warehouse workloads to the Databricks Intelligence Platform with Unity Catalog.
Nousot’s GenAI-Driven migration accelerator provides the following advantages over industry-leading migration solutions:
- Increased flexibility and accuracy in source system code syntax conversion due to LLM powered translation
- Minimal human intervention due to built-in self-correction and retry capabilities when encountering translation failures
- Optimized code conversion using built-in improvement capabilities
- Fully validated results through integrated row-by-row, column-by-column comparisons between old and new systems
- Significant cost savings by only paying for LLM compute cost. No licensing required.
The outcome is a faster, more accurate conversion that reduces the demand for a human engineer in the loop. One enormous migration for a large utility provider demonstrated the approach is 80% faster and 10x less expensive in tooling costs over traditional solutions.
Nousot’s accelerator accounts for all aspects of a platform migration, including:
- Cost Estimation and Planning: Determine the cost of an equivalent workload on Databricks, identify dependencies, and plan the migration to avoid disruption.
- Conversion: Translate existing structures and ETL, migrate historical data, and reinitialize incremental loads.
- Reintegration: Repoint downstream consumers to the new system.
- Validation: Execute user acceptance testing and ensure like-for-like results.
- Decommissioning: Retire the old workloads when ready.
Benefits of Nousot’s GenAI-Driven Platform Migration
Cost Analysis
Nousot’s approach starts with producing an analysis of the cost to perform the migration and run the equivalent workload on Databricks. Nousot’s cost analyzer is freely-available by contacting Nousot, and it can be run against any supported database or ETL workload.
Code Conversion
The Nousot solution works with DBRX, as well as other popular open and closed source models. The customer has the flexibility to select the most appropriate model, taking into consideration model strengths and enterprise security policies.
The analyzer and migration accelerator support Netezza, Redshift, Snowflake, SQL Server, Synapse, and Teradata databases and Informatica and SSIS ETL code bases with support for more databases and syntaxes planned.
Although LLMs understand code complexities across a wide variety of syntaxes, unique situations may arise that require additional guidance to achieve the desired results. The Nousot solution supports these “one-off” scenarios by customizing prompts to cater to unique situations and by further enhancing the LLM knowledge base via RAG-based retrieval of source and destination system information. The combination enables the AI to generate an accurate, up-to-date, and optimized translation.
Security
The AI-powered tool prioritizes the integrity and confidentiality of enterprise data throughout the cost analysis and migration processes. Passing of metadata through an LLM service to perform migration activities can be a concern for some organizations. Nousot will work with risk and legal teams to ensure comfort and compliance with the use of an LLM, and if necessary, can deploy the LLM to a private workspace.
Get Started with a Databricks Migration
Anyone who has gone through a data transformation knows that while the tough transition is worth it, the advantages manifest long into the future. It doesn’t have to be this way.
If you’re looking to scale with the cloud, enhance analytics capabilities, reduce costs, and develop targeted solutions to achieve business outcomes, we’d love to discuss your program plans before you encounter the obstacles many find on their analytics journey. Please reach out to us at [email protected].
* This content was originally published on Nousot.com. Nousot and Lovelytics merged in April 2025.
