Migratly's AI agents read both APIs, map every field, and migrate your data safely - with zero manual schema work.
See Migratly in action - Full Jira → Notion migration in 4 minutes
Integrations
Connect any combination of project management and productivity tools.
Migration Pairs
Each pair below has a published entity map and field-by-field coverage report. Open one to see exactly what carries across — before you connect anything.
Process
Our AI does the heavy lifting while you watch the progress.
Paste your source and destination URLs. Migratly auto-detects the platform and indexes its API documentation using hybrid vector + keyword search.
A crew of AI agents - Source Agent, Target Agent, Schema Mapper, and Leader - analyze both APIs and produce a field-level mapping with dependency ordering and risk flags.
Four rollout phases: Dry Run → Shadow → Canary → Full Cutover. Real-time agent dashboard shows live progress across every entity type.
The Verify Agent checks discrepancy rates below 0.1% threshold. Full parity reports before each phase gate. Source data archived for 30 days.
Features
Every part of the migration lifecycle, automated and observable.
AI reads both API docs and auto-maps every field with coverage levels: full, partial, workaround, dropped, or pending.
Entities migrate in strict dependency order: Users → Projects → Epics → Issues → Sub-tasks → Links. No broken references.
Progress cursors survive crashes. Pick up from exactly where you left off - no re-processing completed work.
Vector + keyword search with Reciprocal Rank Fusion over indexed API documentation. pgvector + tsvector working in concert.
Dry Run (no writes), Shadow (write both), Canary (1 project), Full Cutover. Advance only when parity checks pass.
Every migration action logged. Source data never deleted - archived for 30 days. Full compliance trail available.
See exactly which fields are fully covered, lossy, using a workaround, or need a human decision before you commit.
Auto-detects JS-rendered API documentation and uses Playwright to scrape it. Works on any doc site, even SPAs.
Under the Hood
A purpose-built stack designed for data integrity at every layer.
{
"migration_id": "mig_01HX9...",
"source": "jira",
"target": "notion",
"fields": [
{
"source_field": "summary",
"target_field": "title",
"coverage": "full",
"transform": "identity"
},
{
"source_field": "story_points",
"target_field": "estimate",
"coverage": "partial",
"notes": "Notion uses number, no unit"
},
{
"source_field": "sprint",
"target_field": "tags",
"coverage": "workaround",
"notes": "Stored as tag prefix sprint:Q1-2025"
}
]
}Built for enterprise migrations
FAQ
The short answers. The per-pair pages have the long ones, field by field.
Migratly is a data migration platform for SaaS tools. Its agents read the live API on both the source and the target, derive the field-level mapping between them, and present a coverage report for approval before anything is written. It currently supports Jira, Notion, Linear, Confluence, Monday.com, Google Drive, OneDrive, Pipedrive, HubSpot and Salesforce.
A CSV carries values, not structure. Parent-child relationships, cross-references between records, attachments and custom field definitions have nowhere to live in a flat file, which is why they are the things that go missing. Migratly writes through both APIs, so a link between two records is still a link on the other side.
No. The source is read-only for the entire run. Migratly never writes to, archives or deletes source data, and every action taken against the target is recorded in an append-only audit log with its migration id, cursor state and timestamp.
They are discovered from your live schema rather than assumed, and every one is mapped and labelled before the run: full, partial, lossy, carried by a workaround, or impossible in the target. Where a field has no native slot, Migratly offers the remaining routes rather than dropping it silently.
It is shown to you before the run, with the reason and the alternatives. Anything short of a clean mapping appears in the coverage report; anything whose right answer depends on your instance stops and asks rather than being guessed.
It resumes. Every entity is written in dependency waves and tracked with a progress cursor, and writes are idempotent, so an interrupted run continues from where it stopped instead of restarting or creating duplicates.
It is bounded by the two APIs' rate limits rather than by Migratly. Small workspaces finish in minutes; large ones run for hours in the background, and you can close the tab — the run continues and is resumable.
Jira to Linear, Linear to Jira, Jira to Notion, Jira to Monday.com, Notion to Confluence, Google Drive to OneDrive, OneDrive to Google Drive, and Pipedrive to HubSpot. Each has a published entity map and field-by-field coverage report.
Still unsure whether your pair will survive the trip? Tell us what you're moving and we'll tell you honestly.
No config files. No schema sheets. Connect your tools, review what survives, then run it.
Two migrations free. No credit card required.
Migrating something unusual, or a pair we don't list yet? Tell us what you're moving and we'll tell you honestly whether it's a good fit.