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· 3 min read

DataInfra is at the forefront of democratizing running real-time analytical workloads on Kubernetes, with a particular focus on OLAP stores and query engines. We have delved deep into the Kubernetes API and have extended the Kubernetes control plane to create a seamless user experience for running real-time analytics infrastructure on Kubernetes.

Current State of Real-Time Analytics on Kubernetes

The need for real-time analytics has never been greater than it is today. With the increase of data sources and the speed at which data is generated, organizations want to analyze and derive insights from their data in real-time.

Setting up and scaling a real-time analytics pipeline with current tooling can be challenging. Many of the available tools are complex, distributed, and not designed to run on Kubernetes. This has led to a lack of standard, scalable, and extensible ways to define distributed systems in a Kubernetes-native way.