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.

How does Novuz convert Snowflake stored procedures?

Novuz parses each procedure in its own language (JavaScript, Snowflake Scripting or Python), maps the control flow and the SQL to a Databricks pattern by fixed rules, and produces a Databricks SQL procedure or a PySpark notebook. Constructs the rules cannot resolve go to an engineer for review and approval before the build. Each procedure is then reconciled against its Snowflake output on the same inputs.

What happens to tasks and streams?

Tasks become Databricks Workflows with the same dependency chain, schedules and failure handling. Streams become Delta change data feed logic with the same incremental semantics. The assessment maps every task tree and stream before pricing, because that is where most hidden orchestration lives.

We are moving because of cost. Does Novuz help with that?

Novuz converts and proves the logic; the cost case is yours to make with your own numbers. The assessment gives you the two inputs you cannot get otherwise: how many objects you actually have, and how many are dead and need not move at all.

Can we run both platforms in parallel during the move?

Yes, and the reconciliation depends on it. Converted domains run on Databricks against the same inputs as Snowflake until the report shows a match, then cut over. Most teams move one domain first, prove it, and plan the rest from the assessment.

Does Novuz run in our cloud account?

Yes. Novuz deploys as a container inside your AWS or Azure account, next to your Databricks workspace. Your code and data never leave your environment. No outbound connection is required; if you choose a hosted model for the resolver, only the edge-case fragments go to it, under your own agreement.

Is Snowflake also a target?

Yes. Novuz converts to Databricks, Microsoft Fabric, Snowflake, Apache Iceberg and Delta Lake, and from SQL Server, SSIS, Teradata, Hadoop and Snowflake. If you are weighing targets, the assessment can price more than one from the same inventory.

How is this different from the Databricks migration tooling?

Platform-native tooling covers part of the path. Novuz converts the procedures, tasks and streams it does not, reconciles every object and runs inside your environment. The comparison page sets out exactly where each stops.

What does a First Domain cover?

A First Domain is one domain of up to 1,500 objects, converted, reconciled and live in your environment in five to six weeks, for $25,000 to $40,000, credited against the full estate. You agree the objects and the reconciliation threshold up front. If the threshold is missed at the readout, the equivalence guarantee waives or credits the fee.

Can our agents operate the converted pipelines?

The pipelines Novuz delivers can be exposed as MCP tools your agents call, under your own access, approvals and audit logging; the platform itself is available through APIs for your orchestrator.

Snowflake to Databricks

Snowflake to Databricks migration

The short answer

Novuz converts Snowflake SQL, stored procedures, views, tasks, streams and stages into Databricks SQL, PySpark and Workflows with fixed rules. Every object ships with a reconciliation report comparing Snowflake and Databricks output on the same inputs, and the software runs inside your own cloud account.

Take the logic debt scorecard

Risks

What breaks in a Snowflake migration

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

Snowflake stored procedures are written in JavaScript, Snowflake Scripting or Python, and each needs a different conversion pattern to Databricks SQL procedures or PySpark.
Tasks and streams carry orchestration and change-data logic with no one-to-one equivalent; they have to be rebuilt as Workflows and Delta change data feeds without losing the dependency chain.
Semi-structured data handled with VARIANT, FLATTEN and LATERAL behaves differently on Databricks and silently changes results if converted literally.
Zero-copy clones, time travel and Snowflake-specific functions (QUALIFY, IFF, TRY_ casts, the sampling functions) need rule-level mappings, not search and replace.
Stages, Snowpipe and external tables hold load logic that lives outside the SQL and is often undocumented.

Coverage

What Novuz converts

Final coverage is confirmed during the assessment.

Snowflake object	Databricks target
Tables (permanent, transient, temporary)	Delta tables with matching retention and clustering where needed
Views and secure views	Databricks SQL views; row and column security through Unity Catalog
Stored procedures (JavaScript, Scripting, Python)	Databricks SQL procedures or PySpark notebooks, by pattern
User-defined functions	Databricks SQL or Python UDFs
Tasks and task trees	Databricks Workflows with the original dependencies
Streams	Delta change data feed and incremental logic
Stages, Snowpipe, external tables	Auto Loader, COPY INTO and external locations
VARIANT and semi-structured handling	Delta with explicit schema or variant handling, reconciled field by field
Data	Bulk and incremental data migration

Worked example

What a typical estate looks like

An illustrative Snowflake estate at a media and analytics company. These figures are an example, not a customer result.

1,200 objects across 5 databases: 400 views, 350 stored procedures, 250 tasks and streams, 200 UDFs and stages
40 TB of data, a third of it semi-structured
Complexity split: 50% low, 35% medium, 15% high
Assessment output: a fixed price for the full estate and a recommended first domain of about 400 objects

Proof

Delivered on Databricks

Media, advertising and analytics companies have moved Snowflake estates to Databricks with Novuz, every object reconciled. Delivered estates of 1,000 to 1,600 objects typically go from code received to reconciled output in 4 to 8 weeks.¹ Novuz is a Databricks validated technology partner.

Read the case studies

Pricing

Pricing for Snowflake to Databricks

Pricing follows object count and complexity, not hours. Many teams time the assessment to land before the next Snowflake commit renewal, so the conversion number is on the table when the bill is.

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 ¹ Typical across delivered estates, counted under the rules 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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