Software Alternatives, Accelerators & Startups

Google Cloud Dataproc VS TrackingDesk

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

Google Cloud Dataproc logo Google Cloud Dataproc

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

TrackingDesk logo TrackingDesk

Conversion Tracking & Attribution platform for performance marketers.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • TrackingDesk Landing page
    Landing page //
    2023-08-23

TrackingDesk allows performance marketers to streamline their conversion data flow across ad platforms, affiliate networks and funnels. Thanks to our native Zapier integration, you can amplify the value of your ad campaigns by pushing conversion data to over 1000 apps.

Google Cloud Dataproc videos

Dataproc

TrackingDesk videos

TrackingDesk Review: Click Tracking Tool Made for Marketers

More videos:

  • Review - TrackingDesk Full Account Setup
  • Review - TrackingDesk webinar adwords parallel tracking

Category Popularity

0-100% (relative to Google Cloud Dataproc and TrackingDesk)
Data Dashboard
100 100%
0% 0
Affiliate Marketing
0 0%
100% 100
Big Data
100 100%
0% 0
Advertising
0 0%
100% 100

User comments

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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

TrackingDesk mentions (0)

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

What are some alternatives?

When comparing Google Cloud Dataproc and TrackingDesk, 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.

LeadDyno - Lead Dyno - Affiliate Tracking Software

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

Refersion - Seamless influencer tracking system for online retailers.

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

ShareASale - ShareASale has been in business for 20 years, exclusively as an Affiliate Marketing Network. Our technology receives accolades for speed, efficiency, and accuracy – and our reputation as a fair and honest business is well known within the industry.