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Google Cloud Dataproc VS Oracle DataRaker

Compare Google Cloud Dataproc VS Oracle DataRaker and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Oracle DataRaker logo Oracle DataRaker

Oracle DataRaker unlocks smart meter data and transforms it into compelling, quantifiable, and actionable results with low upfront investment and risk.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Oracle DataRaker Landing page
    Landing page //
    2023-02-09

Google Cloud Dataproc videos

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Dataproc

Oracle DataRaker videos

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Analyze and predict transformer failure with Oracle DataRaker

Category Popularity

0-100% (relative to Google Cloud Dataproc and Oracle DataRaker)

Google Cloud Dataproc

Oracle DataRaker

Data Dashboard
100 100%
Data Dashboard
0% 0
Energy And Utilities Vertical Software
0 0%
Energy And Utilities Vertical Software
100% 100
Big Data
100 100%
Big Data
0% 0
Project Management
0 0%
Project Management
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Oracle DataRaker. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

Oracle DataRaker mentions (0)

We have not tracked any mentions of Oracle DataRaker yet. Tracking of Oracle DataRaker recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataproc and Oracle DataRaker, you can also consider the following products

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

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.

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.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

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.

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