Visual Flow is the venture of IBA Group, which was established specifically to launch a unique open-source ELT tool.
The ETL experts are all employees of IBA Group—an official IBM, Oracle, and SAP partner. They have vast expertise working with countless data-rich projects.
And we’re ready to share insights and best practices as part of ETL migration consulting services!
Data-driven companies often reach out to ETL migration consulting firms to integrate multiple data sources, ensure data quality and compliance, or adopt new ETL technologies.
Every year, data ecosystems become increasingly complex. Consequently, many businesses face problems with their management and data quality.
All steps of the ETL/ELT processes need to be planned and prepared correctly.
Whether you use a ready-made ETL tool or a manually-coded one, or there are too many questions that need to be clarified to build a solid infrastructure, we’ll help you choose the right option and design an efficient ETL system to meet your specific business needs and goals.
We develop and/or implement data warehousing solutions as part of engineering services.
A secure, reliable data warehouse and data lakes are critical to business as they ensure fast access to insightful reports and forecasts.
We build data warehouses and data lakes according to your business requirements, seeing them as components of a grander picture.
Visual Flow was designed as an ELT tool that eliminates the need for manual coding when working with Spark, saving you both time and money. By implementing best practices for ETL infrastructure, you can significantly reduce data management costs in the long run.
Getting a new ETL project up and running can be done in as little as two weeks since Visual Flow is built upon proven architecture (Apache Spark, Kubernetes, and Argo Workflows under the hood of a drag-and-drop interface) with seamlessly integrated components and data source connectors.
Visual Flow empowers you with a cutting-edge intuitive interface that simplifies data mapping. The user-friendly GUI enables business users to combine and integrate data from various sources, thus facilitating advanced data analysis.
Visual Flow provides your team with the necessary means to efficiently process constantly increasing data volumes, thanks to the unlimited scalability and parallel processing capabilities of containerized Spark jobs.
Visual Flow was designed as an ELT tool that eliminates the need for manual coding when working with Spark, saving you both time and money. By implementing best practices for ETL infrastructure, you can significantly reduce data management costs in the long run.
Getting a new ETL project up and running can be done in as little as two weeks since Visual Flow is built upon proven architecture (Apache Spark, Kubernetes, and Argo Workflows under the hood of a drag-and-drop interface) with seamlessly integrated components and data source connectors.
Visual Flow empowers you with a cutting-edge intuitive interface that simplifies data mapping. The user-friendly GUI enables business users to combine and integrate data from various sources, thus facilitating advanced data analysis.
Visual Flow provides your team with the necessary means to efficiently process constantly increasing data volumes, thanks to the unlimited scalability and parallel processing capabilities of containerized Spark jobs.
Visual Flow users should know basic SQL, how data sources are used, and how the transformations you would like to apply work.
Solutions on, for example, AWS Glue and Azure Data Factory use a pay-per-use model, while Visual Flow is way more affordable on the minimal capacity of 100 (question) jobs.
Unlike other open-source-based ETL tools, Visual Flow provides load-balancing, streaming, and log analysis.
Moreover, implementing open-source solutions can be associated with difficulties, such as integration complexity, limited support, lack of enterprise-grade features, and skill gaps.
However, with Visual Flow, you have access to a team of experts who can resolve these issues or have already solved them.
Visual Flow is:
Not a problem! Unlike enterprise ETL migration solutions, ours is value-effective even with a small amount of processed data.