Extract, transform, and load (ETL) tools have significantly changed in recent years. It was a crucial step in data warehousing that took time.
However, today, ETL tools do more than just extract, transform, and load data; they also prepare it for further data environments. The introduction of IoT has changed the dynamics of ETL with data warehouses. Data is no longer just historical. It requires real-time streaming and processing for the latest insights.
As a result, many organizations are now interested in investing in the most suitable ETL tools for them. Therefore, it is essential to look at the return on investment (ROI) of ETL tools.
Time to value: top ETL tools with the shortest ROI timelines
Traditional ETL tools had data processed in batches. With the advent of IoT technology, the whole game has changed to continuous data streaming. It is now possible to easily collect, curate, analyze, and take action from anywhere (like cloud or data center) with built-in security throughout the process.
Previously, ETL tools were used only for structured data, but modern ETL solutions process unstructured data generated from IoT, social media, and other sources.
Choosing the tool that will yield ROI in as short a time as possible is essential. The top five products per G2’s data are ranked below based on the payback period. According to G2 data, MuleSoft Anytime Platform has the shortest ROI, i.e., three months. The average ROI for the ETL Tools category is 17 months.
Crowd’s choice: top ETL tools based on user adoption rate
It is evident that after understanding the functionality and benefits of modern ETL tools, organizations have started using the software more than before. The user adoption percentage data on G2 shows the top five products organizations extensively use for data management.
The chart above shows that Parabola is the most widely adopted product by many buyers, with an adoption rate of 91%. The other products surpass the average adoption rate of 61%.
ETL tools are an essential part of data management
With ETL tools integral to the data management process, companies must invest in the software and know when to start reaping the benefits. Businesses should also delve deeper to understand how much the cost of training and integration would be.
This will help develop a holistic understanding of the cost of ETL tools while selecting the solutions that fit a company’s needs.
Elevate your understanding of data warehousing and how ETL, ELT, and reverse ETL synergy empower organizations to gain insights from their data.
Edited by Shanti S Nair
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