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Ometria VS Google Cloud Dataproc

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

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

Ometria logo Ometria

Ometria is a predictive analytics and marketing platform built for retailers.

Google Cloud Dataproc logo Google Cloud Dataproc

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

Ometria videos

+ Add

Ometria case study | How 77 Diamonds uses Ometria for customer insight and lifecycle marketing

More videos:

  • Tutorial - How to reduce return rates in ecommerce | Ometria

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

Ometria

Google Cloud Dataproc

Office & Productivity
100 100%
Office & Productivity
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Ometria 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.

Ometria mentions (0)

We have not tracked any mentions of Ometria yet. Tracking of Ometria 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 Ometria and Google Cloud Dataproc, you can also consider the following products

BlueConic - BlueConic is a marketing platform that harnesses the data required to power the recognition of an individual at each interaction.

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

Simon Data - Simon Data enables businesses to effectively leverage all of their data to drive personalization and value for their customers.

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

Zeotap - Zeotap is an extensive and reliable customer data platform that has been become the overnight sensation for business with versatile customer intelligence and identify resolution.

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

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