AI cloud modernization in weeks, not quarters
Coalesce pairs LLM-driven translation with an enterprise framework to move logic in-platform and eliminate split processing:
- Translate legacy XML/YAML/JSON/SQL by using AI to compress key steps from hours to minutes.
- Keep logic in-platform to realize cloud ROI sooner and build at cloud scale.
- Ensure consistent, maintainable pipelines with baked—in standards.
“It was a much easier migration than I thought it would be. The learning curve for Coalesce was minimal; it’s very intuitive and easy to use. The ability to create a custom node (object) to fit Coalesce within our existing patterns was important because a lack of flexibility would have been a deal-breaker—we weren’t looking to start from scratch.”
Rebuild pipelines with AI standardization
Reconstruct pipelines at scale by turning legacy logic into clean, cloud-native ELT quickly with reusable templates and an assist from AI.
- Convert mappings/patterns into maintainable ELT with AI translators and standardized SQL.
- Enforce naming, schemas, and data contracts as you build with templates.
- Auto-generate tests and compare outputs to drive parity and velocity, and retire legacy tooling sooner.
Build a durable and auditable data estate
Turn technical metadata into business-ready trust signals so data products are discoverable, certified, and compliant from the start.
- Understand your downstream blast radius before changes ship with production-grade impact analysis.
- Auto-publish ownership, definitions, history, and usage with Catalog and automated docs to drive adoption.
- Govern by design with RBAC, policies, approvals, audit trails, and quality checks built in.
See how you can migrate your legacy pipelines in weeks, with AI.
Bring your migration timeline. We’ll show you a shorter one.
