Objective
The need for levels of availability and scalability beyond those supported by relational databases has led to the emergence of a new generation of purpose-specific databases grouped under the term NoSQL. In general, NoSQL databases are designed with horizontal scalability as a primary concern and deliver increased availability and fault-tolerance at a cost of temporary inconsistency and reduced durability of data. To balance the requirements for data consistency and availability, organisations increasingly migrate towards hybrid data persistence architectures comprising both relational and NoSQL databases. The consensus is that this trend will only become stronger in the future; critical data will continue to be stored in ACID (predominately relational) databases while non-critical data will be progressively migrated to high-availability NoSQL databases. Moreover, as the volume and the value of natural language content constantly grows, built-in support for sophisticated text processing in data persistence architectures is increasingly becoming essential.
The aim of TYPHON is to provide a methodology and an integrated technical offering for designing, developing, querying and evolving scalable architectures for persistence, analytics and monitoring of large volumes of hybrid (relational, graph-based, document-based, natural language etc.) data. TYPHON brings together research partners with a long track record of conducting internationally-leading research on software modelling, domain-specific languages, text mining and data migration, and of delivering research results in the form of robust and widely-used open-source software, industrial partners active in the automotive, earth observation, banking, and motorway operation domains, an industrial advisory board of world-class experts in the fields of databases, business intelligence and analytics, and large-scale data management, and a global consortium including more than 400 organisations from all sectors of IT.
Fields of science
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
- natural sciencescomputer and information sciencesdatabasesnon-relational databases
- natural sciencescomputer and information sciencesdata sciencedata processing
- natural sciencescomputer and information sciencesdatabasesrelational databases
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
RG1 1AX Reading
United Kingdom
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participants (14)
38440 Wolfsburg
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28760 Tres Cantos
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102 52 ATHINA
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10683 Athens
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
Participation ended
35100 Lamia
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YO10 5DD York North Yorkshire
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67100 L Aquila
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5000 Namur
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L39 4QP Ormskirk
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3526 KV Utrecht
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28359 Bremen
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14561 Athens
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1098 XG AMSTERDAM
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
151 24 MAROUSSI
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