DataOps DataFlow vs. Google Cloud Dataflow vs. Maxeler Technologies vs. dbForge Data Generator for MySQL Comparison Chart

A holistic component-based platform for automating Data Reconciliation tests in modern Data Lake and Cloud Data Migration projects using Apache Spark. 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. A best in the class testing tool for Big Data Testing DataOps DataFlow can integrate with all modern and advanced data sources including RDBMS, NoSQL, Cloud, and File-Based.

Maxeler high-performance dataflow solutions easily integrate into production data centers and support easy programming and management. Maxeler high-performance dataflow solutions are designed to integrate into production server environments, supporting standard operating systems and management tools. Our management software coordinates resource use, scheduling and data movement within the dataflow compute environment. Maxeler dataflow nodes run production-standard Linux distributions without modification, including Red Hat Enterprise 4 and 5. Any accelerated application runs on a Maxeler node as a standard Linux executable. Programmers can write new applications using existing dataflow engine configurations by linking the dataflow library file into their code and then calling simple function interfaces. MaxCompiler provides complete support for debugging during the development cycle, including a high-speed simulator for verifying code correctness before generating an implementation.