Apiome Data Transform
Schema migrations done right — compatibility, rules, plans, and Spark at scale.
Data Transform handles the gnarly side of evolving schemas at scale: compatibility analysis, declarative translation rules, blocking-condition guardrails, visual migration plans, an interim MongoDB store, and Apache Spark for parallel migrations.
Apiome Data Transform will ship as part of api-db.dev — our brand-new home for Database and ETL offerings. api-db.dev is coming soon.

What ships with Data Transform
Every Data Transform surface is wired into the rest of the Apiome platform — no glue code, no separate identity, no bolt-on integrations.
Compatibility report
Diff and classify every change as safe, additive, breaking, or quarantined.
Translation rules
Declarative field-level rules with reusable functions and unit tests.
Blocking conditions
Guardrails that pause migrations on data quality or business-rule violations.
Migration plans
Visual, step-by-step plans with dependencies, rollback, and dry-run mode.
MongoDB interim store
Stage in-flight data before promoting it to your authoritative store.
Spark execution
Parallel migration on Apache Spark for billion-row datasets.
A look inside Apiome Data Transform
Live design previews from the Data Transform mockup pack — 11 surfaces in total.

Declarative translation-rule editor with live before/after preview.

Step-by-step migration plan with dependencies and rollbacks.

Apache Spark jobs panel for parallel mass-migration runs.
Use cases
Data Transform is designed around the way real teams actually work — not the way a tool wants them to work.
Roll out a v2 schema across 200 tenants without downtime.
Re-shape historical data into a new model with full lineage retained.
Apply a deletion or redaction policy across an entire portfolio in a single plan.
- Bring-your-own Spark cluster and MongoDB instance
- Policy gates on every plan (4-eyes, security, data-residency)
- Tamper-evident audit log per migration step
- Custom partitioning and parallelism budgets per tenant
- Disaster-recovery snapshots before any major version cut-over
- AI-generated translation rules from sample data
- Plain-English explanations of compatibility findings
- Anomaly detection on row-level transformation outcomes
- Suggested rollback playbooks for each plan
Migrations that explain themselves
AI explains every diff in plain language, generates rules from sample input/output, and picks safe migration sequences with confidence scoring.
Every Data TransformAI feature is grounded in your tenant's data, runs under your data-residency policy, and respects every role and ACL the platform enforces.
Every surface in Apiome Data Transform
A look at the 11 screens designed for this suite — covering everything from day-1 onboarding to day-100 operations.


