A holistic component-based platform for automating Data Reconciliation tests in modern Data Lake and Cloud Data Migration projects using Apache Spark.
Automate the testing of all your ETL, Data Warehouse, and Data Migration projects.
Dataflow is built using Apache Spark, a distributed data processing engine that can process large volumes of data in parallel and in-memory.
Say NO to tedious, erratic tools and processes for Data Migration testing. Dataflow is your ideal solution, capable of automating the Data Migration testing of any kind.
Data Flow continuously profiles the data being ingested and uses Machine Learning to detect anomalies in your latest data automatically.
Compares data and finds differences between source and target data. Helps ensure that there are no discrepancies and reconciliation is done with absolute confidence.
Has a unique visual test case builder with drag & drop capabilities and a query builder that enables defining tests without manually typing in queries.
Dataflow uses a component-based approach to ingest, process, validate, transform and synchronize your data. Build & run the Dataflow and see results in minutes.
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.
Data Flow is engineered to suit almost every kind of topology – be it on-premise (Standalone, Hadoop) or Cloud-based (AWS, Azure, Google) deployment.
Capability to assemble and schedule test plans. Email notification, web reporting and JIRA integration enables sharing of test results.
DataOps Dataflow is a modern, web browser-based solution for automating the testing of ETL, Data Warehouse, and Data Migration projects. Use Dataflow to inject data from any of the varied data sources, compare data, and load differences to S3 or a database. 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.
By automating the testing of Data Lake and Data Migration projects, DataOps DataFlow enables Continuous Integration.
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.
DataOps Dataflow 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.
Add value to your Data Analytics projects and save money.