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Google Cloud Dataproc VS Composable Analytics

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

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Google Cloud Dataproc logo Google Cloud Dataproc

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

Composable Analytics logo Composable Analytics

Composable Analytics is an enterprise-grade analytics ecosystem built for business users that want to architect data intelligence solutions that leverage disparate data sources and event data.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Composable Analytics Landing page
    Landing page //
    2022-04-06

Google Cloud Dataproc videos

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Dataproc

Composable Analytics videos

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World's #1st Data-Centric AIOps Platform | Composable Analytics for AIOps & Observability

Category Popularity

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

Google Cloud Dataproc

Composable Analytics

Data Dashboard
89 89%
Data Dashboard
11% 11
Development
46 46%
Development
54% 54
Big Data
100 100%
Big Data
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Composable Analytics. 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 Composable Analytics. 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 / almost 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

Composable Analytics mentions (1)

  • Ask HN: Who is hiring? (August 2021)
    - Front-End UI Developers passionate about creating well-architected user interfaces and fluent in current best practices for responsive and accessible design. - Junior and Senior level Software Engineers that have the ability to work across all layers of the application, from back-end databases to the UI. - Data engineers and data scientists knowledgeable in developing and training data models and building... - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing Google Cloud Dataproc and Composable 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.

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

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

Amadea - Amadea is the leading integrated Data Science platform, empowering data analysts and data scientists to discover the insights that drive business success.

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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