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No dependency on one person, or on developers
Migration stops being one engineer's job. Repeatable and documented, your team runs it without waiting on a key person or a developer queue.
20+
source databases and formats
TBs
of source data per transformation
10,000+
client onboardings and migrations
2,500+
locations migrated in a single acquisition
Built forSoftware replacements · Competitor migrations · ERP · Multi-source M&A
Source systems we read directly
- Sybase ASE
- Sybase SQL Anywhere
- Visual FoxPro & dBase
- Firebird
- IBM Informix
- IBM Db2
- Microsoft Access
- Microsoft SQL Server
- Oracle Database
- PostgreSQL
- MySQL
- MariaDB
- MongoDB
- SQLite
- Amazon RDS PostgreSQL
- Amazon Redshift
- Google BigQuery
- Amazon S3
- Microsoft Excel
- CSV
No export files that lose the structure. We connect to the database, and the migration reads what is there.
01Benefits
Why teams love it
What you get out of the box. No premium tier.
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Easy, business-driven transformations
Creating a transformation is simple because you focus only on the business logic. SQL, schema details and infrastructure are handled for you. AI proposes the mapping, the Micromerce toolkit does the rest.
✅
Customers sign off on the real data
Automatic validation and a visible quality score on every migration: records compared, records matched, discrepancies, and match rate per data type. Your customer signs off on the actual result, not on a promise.
02Mechanics
How it works
From signal to outcome in four explicit steps, with no hidden hand-offs.
Connect source
Drop in a file or connect one of many database types. The platform does the rest.
Create the transformation
You build the transformation. AI spots the relationships and gives you a solid draft to start from.
Test, iterate, sign off
Run a test migration with a full source-to-target comparison. The pipeline is automated, so re-running it costs nothing. Iterate until the data quality is right and your customer signs off.
Go live with deterministic replay
Same engine, same mapping, same result. Audit trail on every transformation.
03Capabilities
What's inside
Every headline backed by a concrete workflow. Screenshots show what your team will actually use.
Capability 01
AI drafts the mapping into your target model
AI reads the source, works out how the records relate, and drafts the transformation into your target model as readable business logic your team reviews. Over 20 source databases and formats, including CSV, Excel, MSSQL, PostgreSQL and SQL Anywhere, at any dataset size.
Capability 02
Iterate freely. Approved Test = Live
The pipeline is automated, so re-running a migration costs nothing. Iterate with your customer against a source-to-target comparison until the data is right. The approved test is the go-live.
Want to see this on your own data?
30-minute call. Show us a source system, we walk you through the mapping and a test migration.
Capability 03
Snapshot migration, with optional delta sync
Migrate from a full snapshot of the source. Need to cut over into a target system that stays live? Switch on delta sync and every change since the snapshot is applied continuously, so nothing is lost at go-live.
Capability 04
Develop on auto-generated, PII-free data
Engineers build and test transformations on auto-generated, PII-free data. The real source data never has to leave the platform, and nobody has to work around a restriction to get the job done.
Capability 05
Bring your own stack
Everything runs through a CLI with a standard TypeScript transformation layer. No proprietary DSL, no lock-in. Version it in Git, run it in CI, edit it in any IDE or AI tool you like.
04Use cases
Situations we keep seeing
Anonymised from our customer base. See whether one of them is yours.
The simple case: spreadsheets and a folder of documents
Scenario
The customer hands over a pile of Excel files and a folder of documents, and all of it has to land in the target system.
Outcome
Drop the files in, AI drafts the mapping, and the documents arrive attached to the right records. A clean import without scripts or manual data entry.
Multi-source M&A: three systems into one target
Scenario
After an acquisition, client records sit across three legacy systems, and the onboarding team can only take on a fraction of them each month.
Outcome
Three transformations into one target system, run through a single engine. The onboarding bottleneck clears, and everyone waiting to go live can see where they stand.
ERP vendor: customer migrations, auditor-validated
Scenario
The customer wants to know exactly how, and in what quality, every record was migrated, and tolerates only minimal deviation. The auditor asks where the data was frozen and validated.
Outcome
Every record validated against the source with a visible quality score. Frozen, provable and ready for the auditor. The customer sees exactly what came across and signs off on it.
05What we replace
Replacing what?
The three most common alternatives our customers come from.
Manual SQL exports + Excel importsOne-shot per migration. No replay, no audit trail, no customer sign-off workflow.
ETL toolsA different job. ETL pipelines move data to a warehouse for analytics, with no business-logic layer and no customer in the loop. We move customer records into your target system. Keep both: BI to the warehouse, customer state to Micromerce.
Custom-engineered ETLMonths of plumbing, from infrastructure to databases to pipelines, before anyone writes a line of business logic. We take that layer off your team, so they work on the transformation logic inside a flow your customer or partner can follow.
06Across the platform
Pairs well with
Other parts of the platform you'll use alongside this.
Frequently asked
A test migration with a full source-to-target comparison, rendered for your customer. Once they sign off, go-live re-runs the exact same transformation against fresh data. No re-import the day before go-live.
Many at once. Migrations run alongside one another instead of queuing behind one team: every customer gets its own test migration, its own validation and its own sign-off, and the progress of all of them sits in one view. Migration capacity is configurable, and the engine takes the data transformation off the critical path, so your onboarding capacity becomes the constraint instead of your engineering queue. In one acquisition that came to 2,500+ locations migrated.
Your call. The platform supports both, though customers consistently tell us that migrating the full history is a recipe for disaster. We help you scope what is needed up front and archive the rest read-only.
Over 20 connectors out of the box, including CSV, Excel, MSSQL, PostgreSQL and SQL Anywhere, handling terabytes of source data per transformation. Further sources are engineering work, not a platform limit.
Same engine, same mapping. Deterministic replay guarantees identical output. Your customer signs off on the test, and go-live re-runs that exact transformation against fresh data.
Yes. Incremental cutover uses event-sourced background sync, so the customer stays live while the migration runs.
“Micromerce has helped us speed up our customers onboarding by up to 50% and significantly increase data migration quality.”
Ready to see it on your data?
30-minute call. Bring an onboarding you are running today, we show you where the time goes.
