DataOps Suite
Data Quality and Agentic AI platform that validates, reconciles, scores, monitors and remediates data from ingestion to BI and AI.
Why one platform
Data Quality Monitor
Continuously profiles, validates and scores enterprise data, with Agentic AI that recommends rules and flags anomalies, so analytics and AI run on trusted data.
Capabilities
ETL Validator
Automates ETL/ELT testing, with Agentic AI that builds tests from mapping docs, confirming every record arrives complete, accurate and correctly transformed.
Capabilities
BI Validator
Automates testing and governance for Power BI, Tableau and Oracle Analytics, with Agentic AI that builds tests from plain English and keeps reports accurate and reliable.
Capabilities
Test Data Manager
Uses Agentic AI to detect and mask sensitive data and generate synthetic data that mirrors production, so teams can test without exposing real records.
Capabilities
Data Quality Use Case
Start from the outcome your team needs, with Agentic AI doing the groundwork.
Cloud Platforms Use Case
Validate and monitor data and its quality on the platforms you already run, backed by Agentic AI.
BI and Analytics Use Case
Keep every report accurate across your BI tools, as Agentic AI builds the tests for you.
Banking, Financial Services, and Insurance (BFSI)
Stop reporting errors before examiners find them, with every number traced from core system to board dashboard.
How Datagaps helps
Healthcare
Keep claims and clinical data accurate through every migration, without exposing patient records in testing.
How Datagaps helps
Life Sciences
Catch issues in clinical and real-world data before submission, and keep trial subject data out of test environments.
How Datagaps helps
Manufacturing
Avoid broken ERP cutovers and supplier overpayments, and catch sensor drift before it hits production.
How Datagaps helps
Retail and Utilities
Catch settlement, inventory and pricing errors before your customers or regulators do.
How Datagaps helps
Higher Education & Research
Get enrollment, financial-aid and transcript data right before SIS cutover, before students feel it.
How Datagaps helps
Trusted Data Summit
A practitioner summit focused on the validation, observability, governance, and reconciliation practices that determine whether enterprise data is ready for AI.
Learn
Customers and tools
Support
Automating Financial and Production Data Reconciliation for a U.S. Property Insurer
A major U.S. property insurer managing 600 to 800 data interfaces and pipelines across Oracle, Oracle PeopleSoft, Guidewire, and AWS
Datagaps
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Why teams trust Datagaps
100+ Enterprise Customers
Datagaps partners with Vega IT
Bringing trusted data foundations to digital and AI transformation.
Technology Partners
Datagaps works natively with the cloud, data and BI platforms your teams already run.
Our technology partners
SI Partners
Consulting and integration firms that deliver Datagaps validation for enterprise clients worldwide.
Our SI partners
Platform
Solutions
Use cases
Cloud platforms
BI and analytics
Industries
Trusted Data Summit
A practitioner summit focused on the validation, observability, governance, and reconciliation practices that determine whether enterprise data is ready for AI.
Resources
Learn
Customers and tools
Support
Company
Datagaps
Get in touch
Data vendors have a variety of cloud data solutions suited to their specific needs, which leads to the warehouse aggragator to perform data migrations and consequtively validations from multiple sources and targets. This tool reduces the work on repeated test case creation and monitoring by automation.
Moving data and applications from on-premise to cloud? or from one cloud platform to another? Strength your cloud data migration strategy with Datagpas’ great data platform which helps you perform comprehensive testing to ensure the transferred dataset remains functional, scalable and compatible in the target environment. The tool provides apt tools to automate the process as well as govern the existing cases.
The diagram contains Data Migration Automation -> Data is copied from one cloud to another. Multiple data sets are being copied. THen the datasets are being compared with most rows with a correct tick mark and a couple with a cross mark. This entire test is “replicated” across the many copies to show the automation
The suite offers a wizard that within a few clicks create testcases for an entire migration validation system. Once the source and target systems are added, the tool automatically relates the datasets that have to be compared and create rule sets and compare systems. This tool creates flows for each comparison and any of these can be further edited in case of specifics needed there.
The wizard can reduce the work of creating 100s of test cases to the equivalent of the single test case. Furthermore, the reporting system inherently takes these rules into account, so the system in can be used immediately after deployment.
The suite provides an system to give the quality of the data a numeric value. The data quality score is calculated by defining rules that distinguish good and bad records for a system. As models, rules and common data models can be cloned and transfered, creating a data model is fairly quick.
The tool then keeps track of the Data Quality of the table, schema and models as a whole, marking their overall trends in a reporting window. If the DQ score falls, notifications can be sent to users and since the DQ score is calculated at every level, the dip can be investigated to figure out quite easily which exact dataset if the cause.
ETL Validator comes with an inbuilt ETL engine capable of extracting and comparing millions of records from multiple data sources while executing test cases in parallel. ETL Validator connects to a wide variety of data sources. And we are constantly adding support for many modern data sources.
Experience the power of a Unified DataOps Automation Platform for your Data Analytics & Migration Projects. DataFlow is a holistic, modern component-based testing automation platform for your cloud data migration initiatives.
The most comprehensive Functional, Regression, Performance, and Stress Testing tool for Business Intelligence Platforms such as Tableau, Oracle Analytics, Microsoft Power BI.
