On-premise and cloud availability
Runs on any Kubernetes cluster on-premises or cloud, ensuring multi-cloud compatibility
Spark processing engine
The power of the Spark processing engine available with no single line of code
Stage palette with all main operators features
Stage palette featuring tens discrete data transformation functions
Unlimited scalability
Virtually unlimited horizontal scalability
External invoking of pipelines
Ability to externally invoke Visual Flow pipelines using POST requests
Deployment on any Kubernetes cluster
Ability to deploy your ETL/ELT on any Kubernetes cluster anywhere, once designed
The migration to Visual Flow allowed us significantly reduce maintenance cost.
During the development process, it was necessary to add new features to Visual Flow to satisfy client’s business needs. Finally, it was implemented successfully, what allowed us fully migrate the existing ETL process to Visual Flow.
CTO of IT company
Visual Flow team helps us in supporting clinical and medical research to empower clients’ healthcare capabilities and to provide cutting-edge services to patients all around the world. We created new frontend for easy mapping on the base of Visual Flow. Now its GUI allows client’s business users to aggregate data from multiple sources, integrate it and prepare for further analysis.
CTO of US based IT company
With Visual Flow my team is successfully working on processing permanently growing volumes of data due to unlimited scalability and parallel processing capabilities of containerized Spark jobs.
Lead ETL Developer
The migration to Visual Flow allowed us significantly reduce maintenance cost.
During the development process, it was necessary to add new features to Visual Flow to satisfy client’s business needs. Finally, it was implemented successfully, what allowed us fully migrate the existing ETL process to Visual Flow.
CTO of IT company
Visual Flow team helps us in supporting clinical and medical research to empower clients’ healthcare capabilities and to provide cutting-edge services to patients all around the world. We created new frontend for easy mapping on the base of Visual Flow. Now its GUI allows client’s business users to aggregate data from multiple sources, integrate it and prepare for further analysis.
CTO of US based IT company
With Visual Flow my team is successfully working on processing permanently growing volumes of data due to unlimited scalability and parallel processing capabilities of containerized Spark jobs.
Lead ETL Developer
Simplification for the sake of increased productivity
Creative freedom: use Visual Flow with no code, low-code or custom code
Ripping all benefits of the best open-source solutions
Scaling at the pace of the data — not your human resources
Absolutely! Visual Flow low code data engineering is designed for scalability and runs natively within Kubernetes and Apache Spark.