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Platfora VS Google Cloud Dataproc

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

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Platfora logo Platfora

BI and Analytics Platform

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Platfora Landing page
    Landing page //
    2018-10-16
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Platfora videos

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Pete Schlampp, Platfora - #BigDataSV 2016 - #theCUBE

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

Platfora

Google Cloud Dataproc

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

User comments

Share your experience with using Platfora 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.

Platfora mentions (0)

We have not tracked any mentions of Platfora yet. Tracking of Platfora 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 / 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

What are some alternatives?

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

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.

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

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

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.

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

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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