Software Alternatives, Accelerators & Startups
Register | Login

Google Cloud Dataproc VS Mozart Data

Compare Google Cloud Dataproc VS Mozart Data and see what are their differences

Hyperview
DCIM software reinvented. 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

Mozart Data logo Mozart Data

The easiest way for teams to build a Modern Data Stack
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Mozart Data Landing page
    Landing page //
    2023-07-28

Google Cloud Dataproc videos

+ Add

Dataproc

Mozart Data videos

+ Add

Mozart Data Symphony No. 1 (5.6.21)

More videos:

  • Review - Ep263: Peter Fishman | Co-Founder & CEO, Mozart Data

Category Popularity

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

Google Cloud Dataproc

Mozart Data

Data Dashboard
100 100%
Data Dashboard
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Big Data
100 100%
Big Data
0% 0
Online Services
0 0%
Online Services
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Mozart Data. 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 should be more popular than Mozart Data. 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

Mozart Data mentions (1)

  • What are your thoughts on dbt Cloud vs other managed dbt Core platforms?
    Dbt Cloud rightfully gets a lot of credit for creating dbt Core and for being the first managed dbt Core platform, but there are several entrants in the market; from those who just run dbt jobs like Fivetran to platforms that offer more like EL + T like Mozart Data and Datacoves which also has hosted VS Code editor for dbt development and Airflow. Source: about 1 year ago

What are some alternatives?

When comparing Google Cloud Dataproc and Mozart Data, 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.

Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.

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

Polar Analytics - Your #1 Analytics for Ecommerce — Centralize Ecommerce data and create custom reports + metrics without coding. Try it free.

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

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

Loading...