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
Tricentis Data Integrity
Data Integrity validates data as it moves across ETL, warehouse, and migration flows. Merito uses it where data-correctness testing is a gap that functional testing cannot cover.
Merito sells Tricentis Data Integrity licenses and delivers the data-test design, reconciliation coverage, and CI/CD integration that make data testing a first-class release quality gate.
- Best for
- Data engineering and ETL leaders, Data warehouse and analytics leaders, SAP migration leads running Syniti ADMM or SAP ADMM
- Hosting
- Hybrid
- Time to value
- First reconciliation tests running in three to five weeks with CI/CD integration in six to eight weeks.
- Security posture
- SOC 2 Type II, ISO 27001, GDPR
- Last reviewed
- 2026-04-20
What it is
Tricentis Data Integrity in the enterprise stack
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.
Merito sells Data Integrity licenses and delivers test design, reconciliation test coverage, CI/CD integration with data pipelines, and training. Most organizations under-invest in data validation and data testing because they assume functional testing covers it. It does not.
Ideal use cases
- Reconciliation testing during SAP ADMM or Syniti migration waves
- Ongoing ETL pipeline validation across Snowflake, Databricks, SAP BW
- Data quality regression on integration changes
- Audit-grade data evidence for regulated industries
What it is best at
Where Tricentis Data Integrity earns its seat
Pairs with Syniti ADMM migrations
On SAP migration programs, Data Integrity reconciles Syniti ADMM migration waves against source truth.
Integrates with qTest for unified reporting
Data-test results flow into qTest alongside functional and performance tests.
Core capabilities
Tricentis Data Integrity capabilities, grouped by outcome
Data validation and reconciliation
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.
CI/CD and reporting
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
How Tricentis Data Integrity connects to the rest of your landscape
Data platforms (certified)
Certified- Snowflake, Databricks, Azure Synapse, BigQueryCloud data platforms with platform-aware connectors.
- SAP BW and SAP DatasphereSAP analytics data validation.
- Syniti ADMMSAP ADMM migration wave reconciliation.
Tricentis suite (native)
Native- Tricentis qTestUnified test reporting across data, functional, and performance.
CI/CD and orchestration (common custom)
Custom- Apache Airflow, dbt, PrefectData pipeline orchestration integration.
- Azure DevOps, Jenkins, GitHub ActionsTrigger data tests from release pipelines.
Deployment and implementation
How it rolls out
- Hosting
- Hybrid (North America, EMEA, APJ)
- Implementation complexity
- Moderate
- Typical time to value
- First reconciliation tests running in three to five weeks with CI/CD integration in six to eight weeks.
- Prerequisites
- Scoped data flows (ETL, migration, or integration) to validate
- Source and target system read access
- Named data engineer or steward
- What Merito usually handles
- Merito handles Data Integrity setup, test design, reconciliation coverage, CI/CD integration with data pipelines, and handover to your data team.
Licensing and packaging
How it is bought
- Model
- Subscription
- What to expect
- Data Integrity is subscription-licensed by user seat and data-volume tier. Pricing depends on data volume tested and analyst seat count. Merito scopes the right tier against real data flows.
- Editions and modules
Data Integrity base
Core reconciliation and ETL test capacity.
Best for: Most data engineering programs.
- Common expansion areas
- Additional data volume capacity as pipelines scale
- qTest integration for unified reporting
- Pair with Syniti ADMM on migration programs
Merito services
How Merito helps you win with Tricentis Data Integrity
Merito sells licenses and the delivery work around them. Pick the service that matches where you are in the lifecycle.
01
Data Integrity Implementation
Setup, test design, reconciliation coverage, CI/CD integration.
Explore service02SAP Migration Reconciliation
Pair Data Integrity with Syniti ADMM or SAP ADMM migration waves.
Explore service03DevOps Consulting
Data tests as release-gate signals, not side reports.
Explore service04Training and Enablement
Data Integrity training for data engineers.
Explore serviceData Integrity licensing
Prove data correctness alongside business logic.
Merito sells Data Integrity and delivers reconciliation, ETL validation, and CI/CD integration.
Merito point of view
Data testing is under-invested because teams assume functional tests cover it. They do not.
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.
Merito recommends Data Integrity 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
- Treating data tests as a migration-only exercise rather than an ongoing pipeline capability.
- Not integrating Data Integrity into release gates.
- Under-sizing data volume capacity and hitting license caps mid-pipeline.
- Not pairing Data Integrity with Syniti ADMM on migration programs, which leaves reconciliation manual.
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Frequently Asked Questions
Tricentis Data Integrity FAQs
Consultation request
Talk to Merito about Tricentis Data Integrity
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
Pairs with Syniti ADMM and SAP ADMM
On SAP migration programs, Data Integrity automates wave-level reconciliation.
Ongoing pipeline validation
Not just a migration tool
Data Integrity runs against ongoing ETL and warehouse pipelines, not just one-time cutovers.
Next step
Stop assuming functional tests cover data. They do not.
A Merito Data Integrity engagement kicks off with scope mapping, reconciliation design, and CI/CD integration.