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DevicePilot VS Google Cloud Dataproc

Compare DevicePilot VS Google Cloud Dataproc and see what are their differences

Qrvey
Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

DevicePilot logo DevicePilot

DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • DevicePilot Landing page
    Landing page //
    2022-07-24
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

DevicePilot videos

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Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

DevicePilot

Google Cloud Dataproc

Development
73 73%
Development
27% 27
Data Dashboard
36 36%
Data Dashboard
64% 64
Online Services
100 100%
Online Services
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using DevicePilot and Google Cloud Dataproc. 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.

DevicePilot mentions (0)

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

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

What are some alternatives?

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

Qrvey - Embedded Analytics built exclusively for SaaS applications.

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

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.

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

Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.

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

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