Tech Talk: The Path to Migrating off MapR

If you’re a MapR user, you might have concerns with your existing data stack. Whether it’s the complexity of Hadoop, financial instability and no future MapR product roadmap, or no flexibility when it comes to co-locating storage and compute, MapR may no longer be working for you. 

Alluxio can help you migrate to a modern, disaggregated data stack using any object store with the similar performance of Hadoop plus significant cost savings.

Join us for this tech talk where we’ll discuss how to separate your compute and storage on-prem and architect a new data stack that makes your object store the core. We’ll show you how to offload your MapR/HDFS compute to any object store and how to run all of your existing jobs as-is on Alluxio + object store.

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Tech Talk: How the Development Bank of Singapore solves on-prem compute capacity challenges with cloud bursting

The DBS team was tasked to solve their compute capacity problem. They wanted to provide faster insights and analyze data for a range of use cases but didn’t have the ability to scale compute elastically on-prem.

One use case that challenged them was customer call analysis. With the millions of customer calls they get every year, DBS manages over 50TB of customer data and audio files. This data needed to reside on-prem for compliance reasons. With on-prem compute limitations, they looked to the public cloud to analyze this data and selected “zero-copy” bursting as the best approach.  

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