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Google Cloud Dataproc VS Platfora

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

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Google Cloud Dataproc logo Google Cloud Dataproc

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

Platfora logo Platfora

BI and Analytics Platform
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Platfora Landing page
    Landing page //
    2018-10-16

Google Cloud Dataproc videos

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Dataproc

Platfora videos

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Pete Schlampp, Platfora - #BigDataSV 2016 - #theCUBE

Category Popularity

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

Google Cloud Dataproc

Platfora

Data Dashboard
72 72%
Data Dashboard
28% 28
Big Data
100 100%
Big Data
0% 0
Development
63 63%
Development
37% 37
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Platfora. 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 / almost 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: about 2 years ago

Platfora mentions (0)

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

What are some alternatives?

When comparing Google Cloud Dataproc and Platfora, 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.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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