Splice Machine 3.0 integrates machine learning capabilities, database

Databases have long been used for transactional and analytics use cases, but they also have practical utility to help enable machine learning capabilities. After all, machine learning is all about deriving insights from data, which is often stored inside a database.

San Francisco-based database vendor Splice Machine is taking an integrated approach to enabling machine learning with its eponymous database. Splice Machine is a distributed SQL relational database management system that includes machine learning capabilities as part of the overall platform.

Splice Machine 3.0 became generally available on March 3, bringing with it updated machine learning capabilities. It also has new Kubernetes cloud native-based model for cloud deployment and enhanced replication features.

In this Q&A, Monte Zweben, co-founder and CEO of Splice Machine, discusses the intersection of machine learning and databases and provides insight into the big changes that have occurred in the data landscape in recent years.

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Canva Uncovered: How A Young Australian Kitesurfer Built A $3.2 Billion (Profitable!) Startup Phenom

On a steamy May morning in 2013, Canva CEO Melanie Perkins found herself adrift on a kiteboard in the channel between billionaire Richard Branson’s private Necker and Moskito islands. Her 30-foot sail floating deflated and useless beside her in the strong eastern Caribbean current, the 26-year-old entrepreneur waited for hours to be rescued. As she treaded water, her left leg scarred by a past collision with a coral reef, she reminded herself that her dangerous new hobby was worth it. After all, it was key to the fundraising strategy for the design-software startup she’d cofounded with her boyfriend six years before. Canva was based in Australia, thousands of miles from tech’s Silicon Valley power corridor. Getting a meeting—much less funding—was proving tough. Perkins heard “no” from more than 100 investors. So when she met the organizer… Read More

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