De-risk your data platform migration

Map your current state automatically. Migrate only what matters. Validate every step.

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The challenge

Migration projects are longer than ever

Most migrations start with incomplete visibility. Without knowing what’s active, what’s redundant, or what depends on what, teams over migrate, extend timelines, and face unnecssary risk.

Unknown dependencies

Critical jobs surface mid migration, forcing emergency fixes. Overly complex logic is often migrated as-is.

Migrate everything

Teams move legacy assets that are no longer used, wasting time and budget.

Post migration breakage

Dashboards and processes fail after cutover, undermining trust and delaying ROI.

The solution

Understand what you have before you move it

Foundational automatically maps your current data estate, automatically constructs cross-platform lineage, identifies any unused assets, and validates changes as they happen. Migrate only what adds value, skip what doesn’t, and verify every step without surprises.

Streamline data governance, compliance, and security use cases through rich applications

The data intelligence teams need to modernize safely

Automated discovery, prioritization, and validation give teams a reliable path from legacy systems to a modern, accurate, and trusted stack.

Current state mapping

Analyze existing environments automatically to understand every dependency and connection.

Usage intelligence

Identify what’s active, assign impact scores, and sequence migrations for maximum ROI.

Impact analysis for changes

Compare legacy and modern outputs continuously to guarantee fidelity and reduce risk.

Confident execution for every migration type

Key planning questions

  • Move from on prem to Snowflake, BigQuery, or Databricks with clear dependency maps.
  • Unify duplicate systems and identify redundant assets across merged platforms.
  • Transition from monolithic ETL or legacy BI tools to modern, modular architectures safely.
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What teams achieve

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Lower migration costs

Teams move only what adds value, skip dormant assets, and avoid unnecessary duplication, resulting in significant budget savings.

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Faster project timelines

Clear dependency visibility and usage based prioritization remove guesswork, cut rework, and keep migrations on track.

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Reduced risk and fewer surprises

Early detection of critical jobs and automated validation prevent mid project failures and protect business continuity.

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Higher confidence in the modern stack

Parallel output comparisons ensure accuracy, build trust with stakeholders, and accelerate ROI after cutover.

“Foundational gave us instant clarity on our data. With column-level lineage, we stopped wasting hours chasing data lineage and started fixing issues before they became problems.”
Eyal El-Bahar, VP of BI and Analytics
"A data change can impact things your team may be unaware of, leading folks to draw potentially flawed conclusions about growth initiatives. We needed a tool to give us end-to-end visibility into every modification.”
Iñigo Hernandez, Engineering Manager
“With Foundational, our team has a secure automated code review and validation process that assures data quality. That’s priceless.”
Omer Biber, Head of Business Intelligence
“Foundational has been instrumental in helping us minimize redundancy and improve data visibility, enabling faster migrations and smoother collaboration across teams.”
Qun Wei, VP Data Analytics
“Foundational helps our teams release faster and with confidence. We see issues before they happen.”
Analytics Engineering Lead

Govern data and AI at the source code