HyperLake — Federated SQL across existing systems: plan a governed query
FREE PLANNING CHECKLIST

Unify uses managed Trino for queries across existing sources. Test one cross-system decision before deciding which copies or sync jobs you can retire.

Prepare these inputs
[ ] Source systems and schemas
[ ] One representative join and expected answer
[ ] Freshness, permissions and latency requirements

Your first workflow
[ ] Document the existing data movement and the decision it supports.
[ ] Connect a limited source set and test the governed query.
[ ] Compare correctness, source load and operating effort before replacing sync jobs.

Acceptance checks
[ ] Reconcile row counts and join semantics.
[ ] Check predicate pushdown and source impact.
[ ] Test policy enforcement across the combined result.

Decision criteria
[ ] Can each required source support the connector and query pattern?
[ ] What latency and source load are acceptable?
[ ] Which movements are still needed for performance, freshness or isolation?

Cost and scope
Compare the cloud bill, platform charges, operating effort and migration work for the same workload. Cloud capacity is not free. Charges and scope need agreement before paid deployment.

Before switching
AWS and Google Cloud are available today; other deployment environments are roadmap. Preserve the existing workload and access path until compatibility, recovery and cutover checks pass.

Sources
https://hyperlake.cloud/stacks
https://hyperlake.cloud/faq
https://hyperlake.cloud/get-started

Next step
No free cloud capacity is promised. Deployment scope and charges are agreed separately; AWS and Google Cloud are available today.
https://hyperlake.cloud/solutions/federated-sql

This is a planning template, not a completed assessment or a quote. No personal data is required to download it.