Software Alternatives & Reviews

ATLAS Energy Monitoring System VS Qubole

Compare ATLAS Energy Monitoring System VS Qubole and see what are their differences

ATLAS Energy Monitoring System logo ATLAS Energy Monitoring System

AtlasEVO Energy Management & Energy Monitoring Systems. Collect and analyse energy usage data (electric, gas, water etc) from any number of metering points.

Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
  • ATLAS Energy Monitoring System Landing page
    Landing page //
    2021-09-17
  • Qubole Landing page
    Landing page //
    2023-06-22

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Qubole videos

Fast and Cost Effective Machine Learning Deployment with S3, Qubole, and Spark

More videos:

  • Review - Migrating Big Data to the Cloud: WANdisco, GigaOM and Qubole
  • Review - Democratizing Data with Qubole

Category Popularity

0-100% (relative to ATLAS Energy Monitoring System and Qubole)
Energy And Utilities Vertical Software
Data Dashboard
0 0%
100% 100
Project Management
100 100%
0% 0
Big Data
0 0%
100% 100

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What are some alternatives?

When comparing ATLAS Energy Monitoring System and Qubole, you can also consider the following products

The PI System - With the PI System, OSIsoft customers have reduced costs, opened new revenue streams, extended equipment life, increased production capacity, and more.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Oracle DataRaker - Oracle DataRaker unlocks smart meter data and transforms it into compelling, quantifiable, and actionable results with low upfront investment and risk.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

Utilities Meter Data Management - Oracle's Applications for Meter Data Management helps utilities to support the loading, validation, editing, and estimation (VEE) of meter data.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.