Software Alternatives, Accelerators & Startups

Google Cloud Dataproc VS CAKE

Compare Google Cloud Dataproc VS CAKE 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

CAKE logo CAKE

CAKE provides a SaaS-based solution for advertisers, publishers and networks to track, attribute and optimize their spend in real-time.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • CAKE Landing page
    Landing page //
    2021-09-19

Google Cloud Dataproc videos

Dataproc

CAKE videos

I ordered a CUSTOM cake from 1 vs. 5 STAR BAKERY

More videos:

  • Review - Pastry Chef Reviews Boxed Cake Mix
  • Review - $27 Cake Vs. $1,120 Cake

Category Popularity

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

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Dataproc and CAKE

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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CAKE Reviews

15 Marketing Softwares That Can Boost Your Business
CAKE provides real-time analytics and tracking for efficient marketing campaigns. CAKE organizes all information in one place and lets the marketer control everything from location, device and even traffic source to be targeted. Launched in 2007, the company has a client base which includes ScoreBig, Convert 2 Media and Lifescript among others.
Source: www.forbes.com

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

CAKE mentions (0)

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

What are some alternatives?

When comparing Google Cloud Dataproc and CAKE, 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.

Post Affiliate Pro - Post Affiliate Pro is the #1 ranked affiliate software, trusted by more than 27,000 companies worldwide. Start your affiliate program now.

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...

TrackingDesk - Conversion Tracking & Attribution platform for performance marketers.