DLT vs Traditional Databases
In the ever-evolving landscape of data management, understanding the distinctions between Distributed Ledger Technology (DLT) and traditional databases is crucial. Let’s delve into these differences from a business and project management perspective, shedding light on their ultimate value propositions. Problems with Traditional Databases : Legacy Mainframes : Many companies still need old mainframes, coded in outdated languages, with complex and often poorly designed architectures. These systems are challenging to maintain, upgrade, and replace. Data Architecture Complexity : Beyond the database itself, other data architecture components play a vital role. Poorly designed non-database components can lead to data infrastructure issues. Refactoring Limitations : New data architectures are sometimes refactored into older programming languages, missing out on the full benefits. A complete upgrade of the data model and software codebase is essential for optimal results. Data Infrastructur