The author is a Associate Data Engineer in Eucloid. For any queries, reach out to us at: contact@eucloid.com
QConvert: Automated Databricks SQL Migration
Migrating SQL between data platforms sounds simple until you try it. Whether it's Redshift, Synapse, BigQuery, or Snowflake they all speak SQL but have their own dialects. This is where these differences add up fast into hours of manual work.
As a Data & AI specialist, we have seen this play out multiple times. To help businesses modernize their data stacks in an automated, quick and error free manner, we have developed an AI-powered tool that automates SQL translation from legacy dialects to Databricks SQL. With our proprietary QConvert utility, customers don’t need to worry about time consuming query rewrites—just paste the query in the Qconvert app and you’re done.
The Problem: SQL Migration Is Slower Than It Should Be
Moving from Redshift to Databricks or migrating legacy queries from Synapse or Snowflake often reveals the hardest aspect of SQL rewrites.
Function names, ordering rules, nested queries—SQL migrations involve digging through legacy scripts, rewriting each line, and triple-checking logic. Handling these multiple queries turns the process overwhelming. Even experienced engineers encounter errors, and with the pressure to meet go-live timelines for a new platform - delays start creeping in. Manual rewrites consume valuable bandwidth of the most skilled engineers. Delaying transformation and introducing risk eventually becomes a hidden cost when it comes to SQL migration.
This is why teams often ask, Should we automate this? Is it even possible?
With QConvert, we’ve made automated SQL migration possible.
Introducing QConvert
QConvert is a web-based interface designed to automate SQL dialect conversion and comes with a clean UI and simple workflows.
With this, businesses can:
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Pick the source dialect—whether it’s Redshift, Synapse, Snowflake, or BigQuery.
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Paste in a single SQL query
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Upload a CSV or Excel file with hundreds of queries
With a single click, businesses get fully converted Databricks-compatible SQL, ready to copy, review, or download. Whether one is modernizing pipelines or updating dashboard queries, the QConvert utility saves hours of manual cleanup. What used to take days now takes minutes—truly built to simplify the hardest parts of migration—with an intuitive UI and powerful backend doing the heavy work.
Also, real migrations come with hundreds of queries. QConverter supports bulk file uploads via CSV or Excel files—complete with real-time processing updates and a clean table of outputs. 
Behind the scenes:
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The utility filters out blank lines, comments, or narrative notes.
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Each valid SQL query is translated and displayed alongside its converted version.
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One can download the full file or review everything within the app.
This approach is designed to migrate stored procedures, dashboard SQL, or any long list of legacy scripts.
The Engine Behind QConvert: Smart, Modular, Adaptable LLM
QConvert runs on a prompt-optimized LLM backend powered by OpenAI’s GPT models fine-tuned for SQL migration.
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It includes function mapping dictionaries for each source dialect.
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Preconfigured Syntax rules, ordering logic, and query structure templates
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A filtering layer which ensures only SQL content gets processed.
QConvert also offers modular architecture. In simple words, if users want to plug in Llama, Claude, or Cursor instead of GPT, it's easy to do so. On the other hand, if users need the utility to support new dialects like Oracle or Teradata, updating the config is all that is needed.
This makes the converter even more versatile—ready to evolve as the business stack does.
Conversion Users Can Validate
While a lot of tools promise automation, it’s hard to automate when failures occur. This is where highlighted function replacements and inline transformation logs can help teams quickly see what changed and why.
Moreover, the UI also includes built-in tips, documentation, and more with a focus on transparency and traceability:
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Each function that gets swapped is highlighted, so teams can review changes quickly.
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Built-in notes help users understand what changed and why.
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Inline documentation for best practices.
Key Features
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Smart Migration. Simple Experience.
SQL migrations are inherently complicated. Projects often stall because of syntax incompatibilities, and engineering resources are consumed by repetitive rewrites. QConvert is designed to eliminate these inefficiencies to bring accuracy and compatibility at scale.
Built with both engineers and analysts in mind, QConvert is built to help teams move faster and smarter – while simplifying one of the most frustrating roadblocks in cloud modernization. By automating query translation, teams can save days of manual cleanup and avoid costly errors during platform migration, to experience top-notch engineering productivity.
Ready to simplify your data stack? Reach out to us at databricks@eucloid.com.
Posted on : August 28, 2025
Category : Data Engineering
About the Authors
Daksh Bhatia
Deepesh Dandwani
The author is a Data Engineer in Eucloid. For any queries, reach out to us at: contact@eucloid.com