Project description
Database to offer companies more efficient cloud data management
Cloud providers help to solve technical scalability problems, but they neglect the issue of software efficiency and sustainability. The Italian software company Cherrydata developed the core engine of a database that addresses the scalability requirements and economic constraints of Big Data projects. It can be installed on any cloud or in-house environment without lock-in and with standard application programming interfaces for storing and retrieving data. The EU-funded HIPPJ project will conduct strategic, technical, marketing and financial studies and deliver a business plan for the solution. It will analyse the market and competing products, benchmark the main competitors and identify, analyse and evaluate alternative strategies for the product.
Objective
Cherrydata, a software house focusing on big data & analytics applications, has developed the core engine of a native multi-model databasesystem designed to address the scalability requirements and economic constraints of big data projects. CherryTable, the core engine of Cherrydata’s multi-model database, has been benchmarked against the best state-of-art low-latency databases and, overall, CherryTable’s economic efficiency (cost-performance ratio) is 40 times higher, roughly corresponding to 10 years of Moore’s law. More and more, companies rely on cloud providers for efficient data management. Technically, this has been achieved through innovative on-disk indexing algorithms, as well as low-level optimization of disk access and memory usage; the combination of such factors has enabled outstanding write and read performance on commodity hardware, where competitors usually fail in one of the two.
CherryTable will be positioned as a solution that can be installed on anycloud or on premises, without lock-in and with standard APIs to store and retrieve data. CherryTable’s favourable economics can be appealing not only for large global companies, but also for smaller national enterprises. For smaller companies, the outstanding performance of CherryTable represents an enabler for a variety of big data use cases and a key to unlock measurable and positive business benefits from the most important big data & analytics applications.
Fields of science
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdatabases
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarecomputer processors
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencesmathematicspure mathematicsmathematical analysisfunctional analysis
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
20131 Milano Mi
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.