Most data migrations are a year of mapping spreadsheets, a quarter of broken pipelines, and a Friday of finger-pointing. xAQUA reads source systems in place, learns their structure, maps them to your target schema, and ships โ without custom ETL code or armies of consultants.
Gartner says 50% of data migrations exceed budget, timeline, or scope. The reason is always the same: it's all custom code, all the way down.
xAQUA federates across source systems without moving data, learns their semantic structure via SemantIQ, and lets you describe the target schema in business terms. The migration becomes a configuration, not a custom-code project.
Connect to Snowflake, Databricks, Postgres, Salesforce, files in S3 โ whatever you've got. xAQUA reads metadata, samples, and lineage without copying data. You can query across all of it on day one.
The Data Steward agent proposes mappings between source and target โ column-by-column, with similarity scores, sample comparisons, and lineage. Analysts review and approve; they don't write the mapping by hand.
Once mappings are approved, Composer generates the transformation pipeline โ declarative, version-controlled, testable. No bespoke ETL code. No proprietary DAG language.
Qualix runs reconciliation between source and target every hour. Row counts, distributions, business-rule checks. When something drifts, you find out before the auditor does.
xAQUA reads source systems in place, lets your team map semantically rather than column-by-column, and ships transformations as governed, version-controlled pipelines โ with continuous reconciliation against the source.
See how xAQUA federates your sources, AI-maps to your target, and ships migrations without custom code โ in a 30-minute demo on your stack.