Summary
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.
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.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/867276 |
| Start date: | 01-06-2019 |
| End date: | 30-11-2019 |
| Total budget - Public funding: | 71 429,00 Euro - 50 000,00 Euro |
Cordis data
Original description
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.
Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
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