DataOps DataFlow
Your ideal web browser-based solution for automating ETL, Data Management, and Data Synchronization projects.
DataOps DataFlow is a unified platform for data transformation, comparison, quality, and synchronization.
DataOps DataFlow Key Features & Benefits
Automate the testing of all your ETL, Data Management, and Data Synchronization projects.
Built using Spark
Data Flow is built using Apache Spark, a distributed data processing engine that can process large volumes of data in parallel and in-memory.
Data Migration Testing
Say NO to tedious, erratic tools and processes for Data Migration Testing. Data Flow is your ideal solution, capable of automating the Data Migration Testing of any kind.
Data Quality Testing
Data Flow automatically profiles the data being ingested and provides easy to use rules for checking data quality.
Data Reconciliation
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.
Visual Test Case Builder
Has a unique visual test case builder with drag & drop capabilities and a query builder that enables defining tests without manually typing in queries.
Component-Based
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
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 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
Capability to assemble and schedule test plans. Email notification, web reporting and ALM 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.
Enables Continuous Integration
By automating the testing of ETL, Data Management, and Data Synchronization, DataOps DataFlow enables Continuous Integration for your Data Analytics Projects.
- Integrates with Jenkins: DataOps DataFlow provides a command-line interface for kicking of Test Plans. Customers have used this interface to execute tests automatically from Jenkins.
- Email Notifications: Key stakeholders are automatically notified by email.
- Web Reporting: DataOps DataFlow comes with out-of-the-box web reporting. Queries can be executed on the Data Flow repository for additional reporting.
Connects to Many 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.
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.
- DB Component: Supports Source Qualifier, Lookup, Sort and Joiner Transformations.
- Script Component: Supports procedure transformation.
- Baselining Capability: Target data can be saved as a baseline and used to compare with latest data for regression testing.
See DataOps DataFlow in action
Add value to your Data Analytics projects and save money.
