LeanXcale is the result of leading-edge research in continuous evolution producing a continuous stream of innovations incorporated into our product.
CloudDBAppliance aims at delivering a cloud database appliance that matches the resilience and performance of the mainframe, and goes beyond current mainframes by providing real-time big data, while the mainframe has to rely on external data warehouses and ETL processes to deal with analytical queries and business analytics.
The main goal of Vineyard is to increase significantly the performance and the energy efficiency of the data centers by leveraging seamlessly the advantages of hardware accelerators.
CrowdHEALTH is an international research project partially funded by the Horizon 2020 Programme of the European Commission that intends to integrate high volumes health-related heterogeneous data from multiple sources with the aim of supporting policy making decisions.
The goal of CoherentPaas is to provide innovation in the form of marketable solutions that can fully address the issues related to today´s data management trends by developing a coherent and rich PaaS with a common programming model.
LeanBigData targets at building an ultra-scalable and ultra-efficient integrated big data platform addressing important open issues in big data analytics.
Big Data Stack
Project website is coming up soon.
LeanXcale R&D has been and is partially supported by different funding sources including the European Union’s FP7 and H2020 research and innovation programme under grants CloudDBAppliance (H2020-732051), Vineyard (H2020-687628), CoherentPaaS (FP7-611068), LeanBigdata (project # FP7-619606), CrowdHealth (project # H2020-727560), Big Data Stack (project # H2020-779747)
LeanXcale has been partially funded by Spanish CDTI and Spanish Ministry of Economy and Competitiveness in the NEOTEC program under grant SNEO-20151285.