Purpose-built for data testing, not application testing
Data Integrity is designed for record-level comparison at scale, not UI or API assertion checks.
Tricentis • Test automation
Data Integrity validates data as it moves across ETL, warehouse, and migration flows. It covers the data-correctness testing that functional testing cannot.
Data tests and reconciliation coverage for your ETL, warehouse and migration flows come first, then Merito wires the results into CI/CD so data correctness can gate a release.
What it is
Tricentis Data Integrity is a data testing platform. It validates data as it moves through ETL pipelines, warehouse loads, migration waves, and cross-system integrations. Functional testing proves business logic runs and Data Integrity proves the data arriving at the target is correct.
Data Integrity fits naturally alongside Syniti ADMM migration waves and on ongoing data pipelines feeding Snowflake, Databricks, or SAP BW. It is available as a standalone Tricentis contract or as SAP EDIT (SAP Enterprise Data Integrity Testing by Tricentis), the SAP Solex-sold edition.
Most organizations under-invest in data validation and data testing because they assume functional testing covers it. It does not. Test design, reconciliation coverage, CI/CD integration with data pipelines, and training are how a program closes that gap.
Ideal use cases
What it is best at
Data Integrity is designed for record-level comparison at scale, not UI or API assertion checks.
On SAP migration programs, Data Integrity reconciles Syniti ADMM migration waves against source truth.
Data-test results flow into qTest alongside functional and performance tests.
Core capabilities
The core use case.
Source-to-target reconciliation
Record-level comparison across source and target systems with configurable tolerance.
ETL pipeline validation
Pipeline-stage validation to catch transformation errors mid-flow.
Warehouse and lake testing
Validation on Snowflake, Databricks, SAP BW, and BigQuery with platform-aware connectors.
Data tests as release-gate signals, not side reports.
CI/CD integration
Trigger data tests from Airflow, dbt, and release pipelines.
qTest reporting
Data test results unified with functional and performance test reporting.
Where it fits in the stack
Deployment and implementation
Licensing and packaging
Data Integrity base
Core reconciliation and ETL test capacity.
Best for: Most data engineering programs.
Merito services
Pick the engagement that matches where you are in the lifecycle.
Setup, test design, reconciliation coverage, CI/CD integration.
Explore servicePair Data Integrity with Syniti ADMM or SAP ADMM migration waves.
Explore serviceData Integrity licensing
Reconciliation and ETL validation tests run from Airflow, dbt, or your release pipeline, next to the functional suite.
Merito point of view
Merito's experience is that data-level defects land in production at higher rates than UI defects because data testing is nobody's day job. A functional test can pass with wrong data and an integration test can pass while silently corrupting a downstream warehouse. Data Integrity closes that gap when a program actually needs it.
On SAP migration programs running Syniti ADMM or SAP ADMM, Data Integrity is the reconciliation engine that proves migrated data matches source truth. Without it, reconciliation is a spreadsheet exercise that ages out quickly.
Data Integrity is meant for customers with substantial ETL, warehouse or SAP migration scope. For programs whose data movement is minimal or fully SAP-internal, lighter reconciliation approaches may suffice.
What buyers usually underestimate
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Frequently Asked Questions
Consultation request
Share your data flows, ETL stack, and whether you are running Syniti ADMM or SAP ADMM migrations. A Merito data testing specialist follows up within one business day.
Migration reconciliation
On SAP migration programs, Data Integrity automates wave-level reconciliation.
Ongoing pipeline validation
Data Integrity runs against ongoing ETL and warehouse pipelines, not just one-time cutovers.
Next step
A Merito Data Integrity engagement kicks off with scope mapping, reconciliation design, and CI/CD integration.