DataOps Data Quality

Define Data Quality rules using an easy to use web interface and share the results with your business users.

Data Flow

DataOps Data Quality automates the Data Quality testing and Data Quality Score computation.

DataOps Data Quality Key Features & Benefits

Automate the testing of all your data at Rest or in Motion using DataOps Data Quality. Empower Data Stewards and Data Owners.

Built using Spark

Data Catalog

Crawls the data sources and captures the metadata information related to Tables, Columns, and the changes to them over a period of time.  

Data Migration Testing

Data Quality Score

Automatically computes a Data Quality score and displays the trend reports on a Data Quality Dashboard for Data Elements, Tables, Data Models and System. 

Stress Testing

Data Observability

Data Flow automatically profiles the data being ingested and provides easy to use rules for checking data quality.​


DQ Dimensions

Our data compare solution helps you find differences between source and target data. Ensure there are no discrepancies and reconciliation is done with absolute confidence.​

View Testing

DQ Rule suggestions

Has a unique visual test case builder with drag & drop capabilities and a query builder that enables defining tests without manually typing in queries.​

Functional Testing

Data Profiling

Data Flow uses a component-based approach to ingest, process, validate, transform and synchronize your data. Build & run the Data Flow and see results in minutes.

All Data Sources

Common Data Model

We support your data source in whichever form it is. You think of any kind of data source – whether it is a relational, NoSQL, Cloud, or Flat File data source – we support all.

On-Premise or Cloud

Data Lineage

Data Flow is engineered to suit almost every kind of topology – be it on-premise (Standalone, Hadoop) or Cloud-based (AWS, Azure, Google) deployment.

Enterprise Collaboration

Enterprise Collaboration

Capability to assemble and schedule test plans. Email notification, web reporting and JIRA integration enables sharing of test results.

Get the Power of DataOps DataFlow

DataOps DataFlow is a modern, web browser-based solution for automating ETL, Data Management, and Data Synchronization projects. Use DataFlow to inject data from any of the varied data sources, apply changes, and load data changes to S3, HDFS or local storage. With fast and easy to set up, create and run dataflow in minutes.

DataOps DataFlow can integrate with all modern and advanced data sources including RDBMS, NoSQL, Cloud, and File-Based.

Data Flow
Patented ELV Architecture
Enables Continuous Integration

Enables Continuous Integration

By automating the testing of Data Lake and Data Migration projects, DataOps DataFlow enables Continuous Integration.

Connects to all Popular Data Sources

We support your data source in whichever form it is. You think of any kind of data source – whether it is a relational, NoSQL, cloud, or file data source – we support most of them.

Connects to All Data Sources
Data Transformation Testing

Data Transformation Testing

Component test case supports testing of Data transformations by providing a visual test case builder that supports extracting test data from multiple sources in a single test case.

See DataOps DataFlow in action

Add value to your Data Analytics projects and save money.

DataOps DataFlow Resources

Contact us for a demo​.

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