So, before we known what the difference between Traditional Data and Big Data we must known first what is Traditional Data. Traditional Data is an old version Database before the Big Data, so what is the difference?. Here we are:

• Traditional Data is using RDBMS(Relational Database Management system), like MySQL, Oracle, SQL Server, which is structured with rows and columns. Meanwhile, Big Data is using things like Cloud Computing and the data is Structured (tables)+ unstructured(The data, such as videos, photos, text heavy, emails, PDF, and others) + semi-structured(JSON or XML file).
• Traditional data is work well for Gygabytes of data, but struggle with massive amount of data (Terabytes or pentabytes), while Big Data works very good even on massive amount of data because there is cloud storage could store a lot of data.
• Traditional data works by using one server or computer to handle all computations, while Big Data use nodes(many small servers) that connected in a cluster, so Big Data handling it by dividing a big job into small pieces and let many servers work on them in parallel(distribute it with others), this was called distributed data. For instance traditional data is one person that want to count a book until 100 alone, while big data distribute the work to other 10 people, which will make the work more faster. This also explain why Big Data could shows the data real-time, while traditional data couldn’t
• Big Data could handle unstructured data like videos, photos and any kind things like that, while Traditional data too slow to handle things like that cause mostly they handle data like tables.