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By: Mobvista Latest Version: 2.0.2

Product Overview

EnginePlus 2.0 is a cloud native, unified big data analytics, data lake and AI stack that can be easily deployed, operated and automatically scaled on AWS EKS cluster to suit your data science demand.

EnginePlus 2.0 includes the following components:

  • Spark on EKS
  • Zeppelin on EKS
  • Jupyter on EKS
  • Airflow on EKS
  • StarLake: A cloud data lake engine
  • MindAlpha: A one-stop machine learning framework

EnginePlus 2.0 provides industry standard data development and compute engines like Apache Spark and PyTorch and is fully compatible with all the open source APIs and SDKs. If you are already familiar with Apache Spark, you are ready to go!

Integrated seamlessly with MindAlpha, a one-stop machine learning framework, EnginePlus 2.0 enables unified big data analysis and machine learning development experience. With the newly designed and developed cloud data lake engine StarLake, data science can be carried out at a massive scale, leading toward a leap of productivity.

EnginePlus 2.0 has built the container images to include all necessary dependencies and environment settings together. You don't need to worry about any extra setups. EnginePlus 2.0 is self managed and easy to install, use and operate, enabling new capability to boost your business instantly.

To help provide smoother data development experience, EnginePlus 2.0 also provides optional stacks for monitoring and logging for devops, and automatic ingress URL creation allowing access from outside of the EKS cluster.

With EnginePlus 2.0, every component is carefully designed and configured to be auto scalable on AWS EKS. You just paid for the resources actually used without any unexpected charges. EnginePlus 2.0 is capable to manage a computing cluster with tens of thousands of vCPUs.

EnginePlus 2.0 only charges containers running Spark executors for 0.007 USD per vCPU per hour. Other component containers such as Jupyter notebook pods are free of charge.



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Delivery Methods

  • Container

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