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Moving off Boomi is a rebuild rather than a lift-and-shift, and its size depends less on how many processes you run than on what’s in them. Cloud application integrations on standard connectors move quickest. Processes built on Groovy scripts, heavy document property logic, on-premises Atoms, or EDI take the most care. What has changed is how the rebuilding gets done. An AI coding assistant can now read existing process logic and rebuild it on the new platform, which removes most of the manual conversion that made migrations long. Most teams move in waves, keep Boomi running for whatever hasn’t moved yet, and retire it one group of processes at a time.
The fear behind the question is usually a 12-month project with risk on both sides of the cutover. That fear was reasonable. Migrating several hundred workflows used to be a 6-to-12-month project, because people had to read each one, interpret it, and rebuild it by hand.1 Most of that work is now faster, but the size of the job still depends on what you find when you look.
What makes a Boomi migration big or small
Count your processes, then ignore the count for a moment. These decide the effort far more:
| What's in the process | Effort to move | Why |
|---|---|---|
| Cloud apps on standard connectors | Lowest | Field mappings and logic carry over directly |
| Branching and routing logic | Low to moderate | Rebuilt with equivalent steps and tested |
| Heavy use of document properties | Moderate | Data passes between steps differently on the new platform |
| Groovy or JavaScript in Data Process shapes | Moderate to high | Scripts are rewritten, not copied |
| On-premises systems behind an Atom | Moderate to high | Network access is set up again, with your security team |
| EDI and trading partners | High | Partner setup and testing take the longest |
| High-volume or business-critical processes | High | They need a parallel run before cutover |
The most useful number in any Boomi estate is how many processes nobody uses anymore. Integrations built for a project that ended keep running, and every one you retire is one you don’t migrate.
Find out what you run
Before planning a single wave, inventory the estate: every deployed process, what it connects, how often it runs, who owns it, and what breaks if it stops. Then sort it. Retire what’s dead, group what’s left by system or business process, and flag the ones with scripts, on-premises connections, or EDI. That list is the migration plan’s first draft, and it often shows the job is smaller than the process count suggested.
How Boomi concepts map to a new platform
Most of what a Boomi process does has a direct equivalent. Here’s how the main concepts map to Tray.ai.2
| In Boomi | On Tray.ai |
|---|---|
| Process | Workflow |
| Process Call shape | Call Workflow connector, with a Callable Trigger on the workflow it calls |
| Decision shape | Boolean Condition connector |
| Route shape | Branch connector |
| Map shape | Data Mapper connector, or JSONata in a step |
| Data Process shape with custom scripting | Script connector for JavaScript, or Python Script connector |
| Document properties | Outputs of earlier steps, referenced by later ones |
| Connection | Authentication |
| Environment | Workspaces and projects, with environment promotion |
| Atom on your own infrastructure | On-premise agent |
| Start shape on a schedule | Scheduled Trigger |
| Start shape listening for inbound calls | Webhook Trigger |
| Trading partner for EDI | Orderful connector |
One shape doesn’t map one-to-one. Boomi’s Branch shape sends documents down each path in turn, while Tray’s Branch connector picks one path based on a value. A process that relies on Boomi’s Branch behavior is rebuilt as steps in sequence or as separate callable workflows.
The parts that need the most care
On-premises systems. Boomi runs integrations on Atoms, which you can install on your own infrastructure or run in Boomi’s hosted cloud. Tray runs as managed cloud and reaches on-premises systems through an on-premise agent, included in Enterprise and available as an add-on on Team.3,4 Plan this with your security team early, because network approvals tend to take longer than the rebuild.
EDI. Tray offers EDI through its partnership with Orderful, a modern EDI platform, rather than a native B2B product.4,5 Boomi’s native B2B and EDI depth is real, and some teams keep Boomi for EDI while moving everything else. That’s a reasonable split.
Scripts. Groovy in Data Process shapes is rewritten in JavaScript or Python. An AI coding assistant handles most of this well, and the output still needs review against the original’s edge cases.
High-volume processes. Run the old and new versions in parallel, compare outputs, and make sure only one of them writes to each target system before you cut over.
How AI coding assistants changed the rebuild
The slow part of every migration was converting logic by hand. With Tray Headless, an AI coding assistant such as Claude Code works with the full Tray platform from inside the editor. It can read an existing workflow definition, rebuild the logic on Tray’s connectors, and validate each step before anything reaches production.1,6 The approach doesn’t depend on which platform you’re leaving.
The published results are from other platforms, and they show the scale of the change. One team migrating from n8n rebuilt seven workflows in 30 minutes that would have taken about two days by hand, a 95% reduction on that sample.1 A Tray partner migrating an enterprise off Workato inventoried roughly 1,000 recipes and rebuilt them as around 60 Tray workflows using Tray Headless.7 Yext migrated more than 100 services in three months.1
Not everything converts in one pass. Processes with undocumented edge cases or heavily customized logic need closer review, and some are rebuilt rather than converted. The rebuilt workflows don’t stay in the editor, either. An operator can open them in Tray Build’s visual canvas, with the same governance as anything built there.6
How hard is it to migrate from Boomi to Tray.ai?
It’s a rebuild, done incrementally, and most of the effort sits in a small share of the estate: scripts, on-premises connections, EDI, and high-volume processes. Cloud integrations move quickest, and AI-assisted rebuilding with Tray Headless removes most of the manual conversion. A plan that works:
- Inventory and retire. List every deployed process, retire the dead ones, and group the rest.
- Pilot three to five processes. Include one simple integration, one with heavy transformation, and one high-volume process, so the pilot tests the hard parts as well as the easy ones.
- Rebuild in waves by system or business process, using Claude Code with Tray Headless.
- Run each wave in parallel with Boomi, compare outputs, and cut over in a planned window with a rollback ready.
- Retire Boomi processes as each wave settles, and keep Boomi running for whatever hasn’t moved.
If you want help sizing it, Tray runs a 30-minute assessment with engineering and IT leaders to map what’s in your environment and outline a phased migration.1 Whether you still need an iPaaS once Claude Code writes the integrations covers how AI coding assistants fit alongside an integration platform more broadly.
When staying on Boomi is the right call
If your estate centers on SAP, Oracle, or EDI, a certified team runs it well, and the next three years look like the last three, staying is a defensible decision.8 The case for moving is strongest when connection-based pricing has grown with your estate, when agents and MCP need to run alongside your integrations, or when the people who know your Atom setup are leaving.
Sources
- Tray.ai blog, iPaaS migration has always been a time and cost problem. It just got 95% faster: https://tray.ai/blog/legacy-ipaas-migration-tray-headless/
- Tray.ai documentation, core connectors and triggers (Call Workflow, Callable Trigger, Boolean Condition, Branch, Data Mapper, Script, Python Script, Scheduled Trigger, Webhook Trigger, Orderful): https://tray.ai/documentation/
- Tray.ai, pricing: https://tray.ai/pricing/
- Tray.ai, Tray.ai vs Boomi: https://tray.ai/compare/tray-vs-boomi/
- Tray.ai documentation, Orderful connector: https://tray.ai/documentation/connectors/service/orderful
- Tray.ai, Tray Headless: https://tray.ai/platform/ai-development/tray-headless/
- Tray.ai blog, When to start your Workato renewal review, and what to do at each stage: https://tray.ai/blog/workato-renewal-review-timeline/
- Tray.ai blog, The 8 best Boomi alternatives in 2026, compared: https://tray.ai/blog/boomi-alternatives/