Skip to content

The need for a level of availability and scalability beyond that supported by relational databases has led to the emergence of a new generation of purpose-built databases, collectively known as NoSQL. NoSQL databases are typically designed primarily for horizontal scalability and offer higher availability and fault tolerance, but at the cost of temporary inconsistency and lower durability of data. To balance data consistency and availability requirements, companies are increasingly migrating to hybrid data persistence architectures that include both relational and NoSQL databases. The consensus is that this trend will intensify in the future; critical data will continue to be stored in ACID databases (predominantly relational databases), while non-critical data will gradually migrate to highly available NoSQL databases. Furthermore, as the volume and value of natural language content continues to increase, integrated support for sophisticated text processing in data persistence architectures will become increasingly important.

The goal of TYPHON is to provide a methodology and an integrated technical offering for the design, development, querying and evolution of scalable architectures for the persistence, analysis and monitoring of large volumes of hybrid (relational, graph-based, document-based, natural language, etc.) data. TYPHON brings together research partners with long experience in conducting internationally leading research in software modelling, domain-specific languages, text mining and data migration, and in delivering research results in the form of robust and widely used open source software; industry partners from the automotive, earth observation, banking and highway operations sectors; an industry advisory board of world-class experts in databases, business intelligence and analytics, and big data management; and a global consortium of more than 400 organisations from all areas of IT.

More information under: https://www.typhon-project.org/

 

Back To Top
Search