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Mozart Data VS Google Cloud Dataproc

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

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Mozart Data logo Mozart Data

The easiest way for teams to build a Modern Data Stack

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 Landing page
    Landing page //
    2023-07-28
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Mozart Data videos

+ Add

Mozart Data Symphony No. 1 (5.6.21)

More videos:

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

Google Cloud Dataproc videos

+ Add

Dataproc

Category Popularity

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

Mozart Data

Google Cloud Dataproc

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

User comments

Share your experience with using Mozart Data 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 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.

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

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

What are some alternatives?

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

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

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

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

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...

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