Startup of Spanish data infrastructure Cubist Open LakeHouse has collected $ 6.5 million to accelerate the future of the LakeHouse analysis of the team and the development of the product further to further the development of the product.
The round was led by the Pick XV’s Surge Program (formerly Sikoiya Capital India), HW with the participation of the Elia Partners. Capital injection will support the broad mission of Cubist to make Big Data Analytics simplify and favorable in modern data stacks.
“Data teams do not have to choose between speed, expenditure and openness“Said Srikanth satyaCEO of Cubest. “We have created a cubist to make high-performance analysis easier and accessible without locking companies to the owned system. In a world where data is growing faster than ever, we are here to ensure that every company here can transform that data into a value in their own termsThe “
Established in the Barcelona Super Computing Center in 2021, Cubist provides a plug-end-play data indexing platform, which enhances Open Lechaus formats like Delta Lake, Apache Iceberg and Apache Hoodie.
The company’s source returned to academic work by Caesar Kugnasco, CSO of Cubest and Paula Pardo, who studied multi -dimensional indicators at the Barcelona Super Computing Center together. This Academic Foundation forms the bedroke of the drop-in indexing layer of the Cubist-a one that avoids the limitation of one-dimensional divisions and instead supports compound filtering throughout multiple features.
The main part of its innovation is a multidimensional index-a method that gives the relevant data access based on the column of time, location or customer department, eliminating the need to scan the entire datasets for complex questions. This method provides the performance of the sub-second without leaving the opening or flexibility or flexibility of the data teams.
The platform integrates with existing data infrastructure and computer engines, including spark, databrix, snoflek, dakdB and polar, allow engineering teams to accelerate work pressure without changing the pipelines or transferring storage layers. In production, the Cubist claimed that its index technology provided 2-6x Query Speedups and reduced the calculation costs up to 70% across finance, healthcare and retail national vertical.
The fund will also extend the international expansion led by the newly elected CEO Srikanth Satya, with the experience of AWS and Microsoft Azur, a cloud infrastructure expert.
“Data Layouts have an unwanted calculation cost that is highly neglected by the market for data lechouses,“Share Flavyo zonciereCTO and Apache Zoo and Apache Bookkepers are the co-creators of Cubist. “Our technology enables to reduce the cost of customers or even eliminate customers across the vertical that takes the openness of the data lachouse stack and it is neutral both engine and format.“
The application for the Cubist offer is in the balance of its open value and high-performer analysis. The goal is to become a go-to-indexing level for a scale AI and analytics pipeline-making companies without increasing calculation waste.
“We believe that Cubist is solving a basic challenge of modern data stack. In the context of the data volume explosion, their multi-dimensional index level is likely to be critical for each organization to go to a lachouse model,“Added Juan SantamariaHWK Techinvestment CEO and Managing Partner.
Cubist itself is located as an open data stack performance backbone, with plans to launch a compatible consistency with auto-tuning, adapted indicators and cloud engines.
“By empowering their data from their data with low complexity and expenditure, the goal of the Cubist will become the cornerstone indexing level for modern data stacks,“Said Sabastian LefebreyPartner and Diptech Investor Elya.
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