Migrate to modern data infrastructure faster
Get fully translated, fully validated code delivered on a guaranteed timeline at a fixed price.
See how Datafold makes fast migrations possible.
We auto-generate column-level lineage to map dependencies, flag blockers early, and set a clear, predictable migration timeline.
Our AI translates and refactors each object—SQL, stored procs, ETL workloads—into modern code, reducing manual rewrites.
Data Diffs automatically verify data parity at scale with value-level accuracy, surfacing discrepancies for auto-correction and review.
You receive translated code fully optimized for your target system–packaged, tested, and ready to deploy.
.avif)
Why choose Datafold for your next migration
Guaranteed timelines
We commit to a delivery date and hit it. Your migration plan is backed by a proven process that blends AI automation with human oversight to eliminate manual toil. From day one, you’ll know exactly when your code will be ready for production.
Fair, set price
Our outcome-based pricing is tied to the number of models and the complexity of your migration–not time and materials. We scope every migration upfront and commit to delivering within that scope, so there are no hidden costs. You’ll know exactly what you’re getting, when you’re getting it, and what it will cost before work begins.
Beautiful, maintainable code
We deliver clean, well-structured code that’s easy to read, easy to extend, and validated to ensure 1:1 parity. Legacy quirks? Fixed. Transformations? Optimized. The end result is code you can put straight into production and be proud of.
How Datafold delivers data platform migrations
AI with human-in-the-loop
Our proprietary AI automates the heavy lifting, automatically translating and validating complex code at scale. Engineers provide oversight without needing to manually check every line. With each project, the system gets smarter, and requires less intervention, accelerating delivery while reducing cost and risk.
Any source to any target
We support migrations from virtually any legacy source to any modern target, including complex transformations like stored procedures to dbt models.
Handles the most complex workloads
Datafold’s Migration Agent can translate and validate extremely large, complex objects—like 300k-character stored procedures—without breaking them apart or losing context. Every component is delivered with full fidelity to the source logic, ensuring that your migration reaches 100% parity.
Make data migrations painless. See how top teams achieve speed and confidence.
“Every migration and every company is different, and Datafold’s flexibility is part of its secret sauce. Other tools can translate code, but Datafold brings a team that understands how the code actually works, managing the process instead of making you burn cycles babysitting an LLM and manually checking the results. Their magic bullet is, in fact, magic.”
“I've been in plenty of migrations where we were manually running queries and tracking outputs in a Google sheet. We wouldn't have gotten to where we needed to go this quickly, or with this level of confidence, without Datafold.”
"Having Datafold in a situation where you need 1 to 1 migration is critical...No question. I would recommend Datafold for any large-scale migration."
.avif)
"Datafold allows real visibility into data changes before the changes are live, reducing mistakes and enabling our analysts and stakeholders to feel confident in their changes."
The easiest way to run your migration, end to end
Map column-level lineage to assess migration complexity, creating a detailed blueprint that makes every dependency explicit and your timeline predictable.
Your competitive edge in migration delivery
Datafold’s Migration Agent plugs directly into your delivery model, reducing manual code work and accelerating timelines. Faster delivery means stronger bids, higher margins, and more capacity to take on projects. We can co-deliver or white-label, helping you expand your capabilities without adding headcount or overhead.
Accelerate your customers’ adoption and credit consumption
We help customers migrate legacy workloads to your platform up to 6x faster than traditional approaches. Every project includes automated validation for full confidence in the cutover, driving quicker time to value and long-term adoption. We handle any source-to-target scenario so you can focus on building deeper relationships with your customers.
Got questions? We've got answers.
How does Datafold help accelerate migrations?
Datafold provides a full-cycle migration automation solution for data teams, which includes code translation and cross-database reconciliation. Specifically, Datafold leverages an AI-powered agent (the Datafold Migration Agent) and cross-database diffing to convert SQL code and validate tables across databases.
How does cross-database diffing work?
First, Datafold connects to any SQL source and target databases, similar to how BI tools do. Second, Datafold does not need to extract the entirety of the datasets for comparisons. Instead, Datafold relies on stochastic checksumming to identify discrepancies and only extract those for analysis.
How can my team run data diffs?
Users can trigger diffs through a variety of ways, including the Datafold UI, REST API, and on schedule using a cross-database diffing monitor.
What type of security does Datafold offer?
Datafold is SOC 2 Type II, GDPR, and HIPAA-compliant and provides flexible deployment options including in-VPC deployment in AWS, GCP, or Azure.
How does Datafold ensure we’re comparing apples to apples?
DMA includes a Source Aligner that locks in consistent snapshots across legacy and new systems. That way, validation reflects actual transformation differences and not drift from unaligned environments.
What if we’re already mid-migration? Can DMA still help?
Absolutely. Whether you’re just starting or already partway through, DMA can plug in to validate your existing translation, catch data mismatches, and accelerate the final stretch with confidence.
What if transformations are defined in a GUI tool and stored as XML or some proprietary format?
Datafold can work with a variety of transformation definitions including those exportable to XML and vendor-specific formats.
How does Datafold ensure we’re comparing apples to apples?
DMA includes a Source Aligner that locks in consistent snapshots across legacy and new systems. That way, validation reflects actual transformation differences and not drift from unaligned environments.
What if we’re already mid-migration? Can DMA still help?
Absolutely. Whether you’re just starting or already partway through, DMA can plug in to validate your existing translation, catch data mismatches, and accelerate the final stretch with confidence.
What if transformations are defined in a GUI tool and stored as XML or some proprietary format?
Datafold can work with a variety of transformation definitions including those exportable to XML and vendor-specific formats.
How does Datafold ensure we’re comparing apples to apples?
DMA includes a Source Aligner that locks in consistent snapshots across legacy and new systems. That way, validation reflects actual transformation differences and not drift from unaligned environments.
What if we’re already mid-migration? Can DMA still help?
Absolutely. Whether you’re just starting or already partway through, DMA can plug in to validate your existing translation, catch data mismatches, and accelerate the final stretch with confidence.
What if transformations are defined in a GUI tool and stored as XML or some proprietary format?
Datafold can work with a variety of transformation definitions including those exportable to XML and vendor-specific formats.