Software Alternatives, Accelerators & Startups
Register | Login

Google Cloud Dataproc VS Polar Analytics

Compare Google Cloud Dataproc VS Polar Analytics and see what are their differences

Agiliron
Omni-Channel SaaS Solution Suite for Retail, Wholesale & eCommerce businesses featured
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

Polar Analytics logo Polar Analytics

Your #1 Analytics for Ecommerce — Centralize Ecommerce data and create custom reports + metrics without coding. Try it free.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
Not present

Google Cloud Dataproc videos

+ Add

Dataproc

Polar Analytics videos

+ Add

Discover Polar Analytics in 2 minutes with David, Co-founder & CEO

More videos:

  • Review - Google Sheets Read Only Scopes for Polar Analytics

Category Popularity

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

Google Cloud Dataproc

Polar Analytics

Data Dashboard
100 100%
Data Dashboard
0% 0
eCommerce
0 0%
eCommerce
100% 100
Big Data
100 100%
Big Data
0% 0
Analytics
0 0%
Analytics
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Polar Analytics. For example, how are they different and which one is better?
Log in or Post with

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

Polar Analytics mentions (0)

We have not tracked any mentions of Polar Analytics yet. Tracking of Polar Analytics recommendations started around Jun 2024.

What are some alternatives?

When comparing Google Cloud Dataproc and Polar Analytics, 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.

Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.

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

Glew.io - Generate more revenue, cultivate loyal customers, and optimize product strategy with our advanced ecommerce analytics software. Start your free trial today!

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

Triple Whale - Triple Whale helps ecommerce brands make better decisions with better data.

Loading...