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Google Cloud Dataproc VS Agilone

Compare Google Cloud Dataproc VS Agilone 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

Agilone logo Agilone

All in one predictive marketing in the cloud
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Agilone Landing page
    Landing page //
    2023-07-11

Google Cloud Dataproc videos

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Dataproc

Agilone videos

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Growth Beat 2014: Do data-driven marketing even if you have a small team (with AgilOne & Shaklee)

More videos:

  • Review - Totta l'Ingrediente Perfetto e Papo l'Agilone, Strafico, StraForte e StraLusso!

Category Popularity

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

Google Cloud Dataproc

Agilone

Data Dashboard
84 84%
Data Dashboard
16% 16
Big Data
100 100%
Big Data
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100
Development
100 100%
Development
0% 0

User comments

Share your experience with using Google Cloud Dataproc and Agilone. 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

Agilone mentions (0)

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

What are some alternatives?

When comparing Google Cloud Dataproc and Agilone, 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.

crystal.io - Chat with crystal, the advisor turning your data into Artificial Intelligence powered insights. Start your premium trial for free or request a demo.

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

Custora - Predictive marketing platform for e-commerce

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

MakerSights - MakerSights enables consumer brands to more accurately forecast demand for future products.

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