In many industries, there is "unstructured data" that is too expensive to put into a relational database structure custom-designed to match. This is where Datura's history started: create an "equal format" database structure that could hold anything, eventually leading to the Legume Data System.
The Equal Format Database was the goal that launched Datura - a database designed to handle the problem of Big Data Variety - a constantly changing data world. This powerful idea was of a universal database container and system design that can handle the most complex data without advance knowledge of the structure, relationships or content of the data. Here are our original design goals:
Equal Format databases do not replace relational database management systems but instead build on the one you already use. Equal Format databases are not middleware but relational table designs that improve on traditional designs. They give flexibility to your existing system, without having to translate or restructure your data. As the data changes, it never needs to be re-designed. You can change, add or retool your data or data structure any time you need to, giving you exceptional flexibility. Changing your data to fit a predetermined format is a thing of the past. Equal Format databases will allow faster development time, better data integration and superior software integration. Its applications are extremely broad – such as engineering facility data management, equipment catalog data distribution, technical software integration, corporate business operation systems and more.
Imagine you are no longer constrained by data format. Equal Format databases can do that. Departments can share identified information, add or change data, reach back into archival data, and summon point-in-time data enabled by nondestructive updates. Multiple companies can cooperate on product management with a universal database increasing abilities to manage, trace and monitor data. Engineers can integrate software program applications to create better products, analyze data and improve structure.
Datura solved this design by creating an advanced semantic data system, called the "Semantic-relational database", and patented it. To learn more about semantic databases, click here.