The third wave of the Industrial Revolution, also known as Industry 4.0, has brought about significant advancements in manufacturing and industrial processes, with a focus on instrumentation, machine learning (ML), and artificial intelligence (AI) to enhance industrial processes. However, legacy data historians, which were introduced during the second wave, have limitations that hinder their ability to keep up with modern industrial and manufacturing processes. These limitations include lack of interoperability, vendor lock-in, poor developer experience, scalability issues, and high cost of ownership. To overcome these challenges, organizations need to move beyond legacy data historians and adopt time series databases like InfluxDB, which can manage large datasets, run real-time analytics, leverage AI/ML processes, deploy predictive maintenance procedures, generate digital twins, and more. By adopting InfluxDB, industrial organizations can unlock the full potential of Industry 4.0 and advance their manufacturing practices.