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High-performance Independent Platform for low-cost big data ProJects

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 (EuroSciVoc)

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

CHERRYDATA SRL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
Via Abano 9
20131 Milano Mi
Italy

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Nord-Ovest Lombardia Milano
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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