Verify what happenedafter Boomi says success.
For the Boomi workflows where data correctness matters, Verirow independently compares source and target after the process runs, so missing records, wrong values, and duplicates do not stay invisible.
Run a New Check
Compare two data sources to find missing, different or duplicate records.
Saved Checks
Save your settings to run the same check again anytime.
Recent Runs
| Status | Run | Source → Target | Checked | OK | Missing | Different | Duplicate | Date |
|---|---|---|---|---|---|---|---|---|
| ISSUES FOUND | #33 | Test Users Source→ Test Users Target | 10 | 9 | 1 | 0 | 0 | 07/10/2026 |
Run #33 Details
Keep Boomi as the integration engine.
Add Verirow as the verification layer.
No replacement architecture. No second sync process. Verirow checks the result after your existing process.
Your existing integration completes normally.
A protected endpoint starts the saved check.
Verirow compares the same records and selected fields across source and target.
See what passed, what failed, and keep the run in History.
Boomi can report success while the data is still wrong.
Verirow checks the result after the process finishes, so you can see whether the right records actually arrived with the right values.
From the integration engine, everything looks fine.
A successful process can still finish without every source record arriving at its destination.
Trigger verification at the end of the process.
Generate an integration token from a Saved Check and call Verirow after your Boomi process completes. Execution metadata is stored with the resulting reconciliation run.
Open Boomi setup guide→https://api.verirow.com/external-trigger/YOUR_SAVED_CHECK_IDVerirow checks the result and shows exactly what went wrong.
This is what happens after Boomi finishes the integration. Verirow runs an independent comparison, identifies the affected records, and saves the result for review.
The completed Boomi process triggers an existing Saved Check.
Verirow uses the Saved Check settings to match records and compare the fields you selected.
The run result shows which record failed and why.
The completed verification stays available with its status, trigger, duration, and issue count.
to Test Users Target101integration446 ms
Boomi post-sync verification,
without the guesswork.
Verirow adds an independent reconciliation layer after your Boomi process runs, so a successful process is not the end of the check.
What is Boomi post-sync verification?
It is a data-level check performed after a Boomi integration process finishes. Verirow compares source and target records to verify that the resulting data is actually correct.
Why verify data after Boomi reports success?
A successful process confirms that the workflow completed, but it does not always prove that every target record matches the source. Verirow performs a separate source-to-target check after the run.
What can Verirow detect after a Boomi sync?
Missing records, different field values, duplicate records, unexpected target data, and other discrepancies between the two systems.
Does Verirow replace Boomi?
No. Boomi remains your integration engine. Verirow runs after the integration to independently verify what happened to the data.
Can Verirow automate Boomi data reconciliation?
Yes. Verirow is designed for repeatable post-sync reconciliation and can be used as a verification step after Boomi processes.
Verify the result across your integration stack.
View all integrations→Workato
Reconcile the result after a Workato recipe.
Explore→VERIROW FORMuleSoft
Check the data after a MuleSoft flow completes.
Explore→VERIROW FORCeligo
Verify what arrived after a Celigo integration flow.
Explore→Verify the integrations where
data correctness matters.
Not every data movement needs record-level reconciliation. Verirow is built for the workflows where incomplete or incorrect data creates real business impact.
Financial transactions
Verify high-impact records where missing or incorrect data can affect reporting, settlement, billing, or downstream finance operations.
Payroll processing
Check that critical payroll records reach the target with the expected values before errors become operational problems.
Employee synchronization
Reconcile employee records across HR, payroll, identity, and downstream systems when completeness and accuracy matter.
Master data
Verify foundational records such as materials, products, customers, or suppliers before dependent workflows rely on them.
Large data migrations
Compare source and target datasets after migrations to find missing records, changed values, and duplicates before sign-off.
Clear exceptions,
not technical logs.
Verirow turns source-to-target comparison results into a focused exception list, so teams can see which records are Missing, Different, or Duplicate without manually comparing complete datasets or digging through integration logs first.
Start at $29/month.
Free during beta.
Verirow is currently in beta testing. You can use the platform without payment while the beta is running. The planned founder price is $29/month.
Verirow
No payment details required for testing.
Verify every integration result before bad data reaches operations, reporting, or customers.