Deterministic modernization platform that converts legacy stored procedures, ETL, and data orchestration logic into modern, production-ready pipelines while keeping your data and code safely inside your own environment.

Should we choose Databricks or Iceberg?

It depends on your platform strategy. Databricks gives you a managed lakehouse with Delta tables and built-in orchestration. Iceberg keeps your tables in an open format that several engines can read. Novuz converts to either. The assessment can model both targets so you can compare before deciding.

How does Novuz handle cursors and row-by-row loops?

Copying cursors to Spark gives slow, fragile code. Novuz rewrites common cursor and loop patterns into set-based logic with fixed rules. Patterns that need judgment go to the resolver, and an engineer reviews each proposal. Reconciliation then confirms the set-based version returns the same results.

What about dynamic SQL?

Dynamic SQL builds queries at run time, so the real logic is not visible in the code alone. Novuz traces how the query string is built and converts the common patterns into parameterized code. Anything it cannot settle is flagged for review. Nothing is guessed silently.

Will results differ because of collation or NULL handling?

They can if this is ignored. T-SQL and Spark SQL differ in collation, NULL comparisons, rounding and date functions. Novuz applies fixed rules for each known difference. The reconciliation report compares column values on the same inputs, so any remaining difference is visible per object.

Can we keep using SQL Server during the migration?

Yes. Most customers migrate one domain at a time and keep SQL Server running for the rest. Converted pipelines run in parallel with the originals until reconciliation passes. You then cut over that domain and move to the next.

Does our code leave our network?

No. Novuz runs as a container or VM in your data center or cloud account. Your procedures, schemas and data stay inside your perimeter. The resolver uses a knowledge base kept in your environment. Nothing is sent to Novuz. If you choose a hosted model for the resolver, only the edge-case fragments go to it, under your own agreement.

Do you migrate SSIS packages too?

Yes. If your SQL Server estate includes SSIS, Novuz converts the packages along with the procedures they call. That keeps the logic and the orchestration together. See the SSIS to Fabric page for detail on package conversion. The same approach applies with Databricks or Iceberg as the target.

What do we get from the assessment?

You get a full inventory of objects, a lineage and dependency map, and a complexity band per object. You also get a fixed price for the full estate and a recommended first domain. The assessment takes three business days and costs $3,000, credited in full against a First Domain; the price is valid for 90 days.

SQL Server to Databricks and Fabric

SQL Server to Databricks and Fabric migration

The short answer

Novuz converts SQL Server tables, views, functions, stored procedures and SQL Agent jobs into Databricks, Microsoft Fabric or open Iceberg pipelines with fixed rules. Every object ships with a reconciliation report, and the software runs inside your environment.

Take the logic debt scorecard

Risks

What breaks in a SQL Server migration

These are the five problems we see most often in SQL Server estates.

Long T-SQL procedures use cursors, temp tables and row-by-row loops that perform badly when copied to Spark.
TRY/CATCH blocks and explicit transactions carry error handling that needs a different pattern on the target.
Dynamic SQL builds queries at run time, so static tools miss the real logic.
Collation, NULL handling and date functions differ between T-SQL and Spark SQL, which shifts results quietly.
Triggers, linked servers and cross-database queries hide dependencies that only show up at cutover.

Coverage

What Novuz converts

Final coverage is confirmed during the assessment.

SQL Server object	Databricks target	Iceberg target
Tables	Delta tables	Iceberg tables
Views	Databricks SQL views	Views in your chosen engine
Functions	SQL or Python functions	Spark SQL functions
Stored procedures	Databricks SQL or PySpark	PySpark jobs
Cursors and loops	Set-based rewrites	Set-based rewrites
Dynamic SQL	Parameterized code, flagged for review	Parameterized code, flagged for review
Triggers	Pipeline steps or change data feed	Pipeline steps
SQL Agent jobs	Databricks Workflows	Your orchestrator, e.g. Airflow
Data	Bulk and incremental migration	Bulk and incremental migration

Worked example

What a typical estate looks like

An illustrative SQL Server estate at a regional health system. These figures are an example, not a customer result.

3,000 stored procedures, of which 250 use dynamic SQL
400 functions and 1,100 views
6,500 tables across 25 databases
420 SQL Agent jobs
Complexity split: 58% low, 30% medium, 12% high
Assessment output: a fixed price for the full estate and a recommended first domain of about 800 objects

Proof

SQL Server to an open table format

A Fortune 500 natural gas utility is modernizing its SQL Server estate to open Iceberg tables with Novuz running inside its own environment. An AI-powered supply chain planning software company is running a self-service SQL Server to Delta Lake rollout covering 8,000 workflows.¹

Read the case studies

Pricing

Pricing for SQL Server to Databricks and Fabric

Pricing follows object count and complexity, not hours. The price is the same whichever target you choose.

Estate assessment

$3,000. Three business days. Credited in full.²

First Domain

$25,000 to $40,000. 5 to 6 weeks on one domain of up to 1,500 components. Equivalence guarantee in writing.²

Full estate

Fixed from the assessment. Typically $40,000 to $200,000 for 1,500 to 10,000 objects, or an enterprise license for larger estates.²

See full pricing

Honest fit

Who should not choose Novuz

Novuz is not the right choice for estates under about 300 objects; for Oracle-only or mainframe estates; for teams with no target and no date inside 18 months; for buyers who want staff augmentation rather than software; or for organizations that cannot run software inside their environment or share code for an assessment.

FAQ

Frequently asked questions

¹ An AI-powered supply chain planning software company, SQL Server to Delta Lake, self-service rollout. Definitions on the Methodology page.
² Prices in USD as of the review date. Full terms on the Pricing page.

How we measure: Methodology

Last reviewed: October 29, 2026

Find out what your logic debt is costing you.

Every object counted, lineage, dead code and a fixed price in three business days. $3,000, credited.

Take the logic debt scorecard

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