Open-source technology is becoming increasingly popular in the data integration industry, and for good reasons. Open source creates the right incentives, allowing users to own their data entirely, unlike closed source, where you build knowledge in a proprietary tool with a price tag. Open source also creates communities around common problems, allowing for the exchange of valuable knowledge and collaborative problem-solving.
In this article, we will start investigating the reasons behind the adoption success of open source before delving deeper into the data integration industry, more specifically focusing on open-source vs. closed-source ELT (Extract, Load, Transform) solutions. We will discuss how open-source ELT allows for greater control over the data integration process, more efficient data processing, and cost savings for organizations. Additionally, we will explore the growing trend of open-source ELT adoption in the industry and examine the future of open-source data integration.