A holistic component-based platform for automating Data Reconciliation tests in modern Data Lake and Cloud Data Migration projects using Apache Spark.
Next-generation ETL/ELT tool to move large datasets across systems using Apache Spark.
Free ETL/ELT Tool for SMBs
Dataflow is a module within DataOps Suite designed to efficiently handle next-generation ETL or ELT processes. It complements ETL Validator and other modules within the DataOps Suite to provide one unified platform to streamline data-intensive operations. Built on patented architecture, it leverages Apache Spark as the underlying engine to move data from source to target systems. By leveraging simple UIs and wizard-based capabilities, Data Engineers, Testers & Business Analysts can streamline data-intensive operations. Management can save a tremendous amount of costs by leveraging Dataflow as it is open source and sufficient for most data migration projects.
SQL: This is the only language required to automate flows using Dataflow. This brings down the total cost of ownership as SQL knowledge is a common skill in Engineering, Testing, and Business Analysis teams. If you choose to leverage Python or Scala, then, Dataflow has the provision to support your needs.
Scheduling: At the scheduled time, Dataflow automatically executes the tests and emails summary reports to the right stakeholders.
DataOps Dataflow currently scores 59/100 in the Testing category. This is based on press buzz (36/100), recent user trends (falling), and other relevant information on DataOps Dataflow gathered from around the web.
The score for this software has stayed the same over the past month. What is this? |
Flat Files Ingestion
Big Data Ingestion
Component based Development
Data Migration Wizard
Optional Programming
Container-Based Security
CI/CD Enablement
Scheduling Capabilities
Data Pipelines
Enterprise Collaboration
Yes
End to End Data Validation from the point of ingestion to consumption. We provide data quality tests, ETL Testing, Data Migration Testing, and Business Intelligence Testing.
Yes, We offer API's to allow other tools to integrate with our product line. We also provide API's to integrate with third-party applications
Windows, Linux, Cloud platforms
Yes, we integrate apps where data extraction is needed for validation purposes and movement into data warehouse and data analytics platforms. Integrates with Apache Spark.
ETL Products, Database products such as Snowflake and SQL servers or any other data architectures deployed, Data warehouse applications
Yes, through customer portal, website and YouTube