Software Alternatives, Accelerators & Startups

Google Cloud Dataproc VS Weights & Biases

Compare Google Cloud Dataproc VS Weights & Biases 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

Weights & Biases logo Weights & Biases

Developer tools for deep learning research
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Weights & Biases Landing page
    Landing page //
    2023-07-24

Google Cloud Dataproc videos

Dataproc

Weights & Biases videos

No Weights & Biases videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Google Cloud Dataproc and Weights & Biases)
Data Dashboard
100 100%
0% 0
Data Science And Machine Learning
Big Data
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using Google Cloud Dataproc and Weights & Biases. 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 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

Weights & Biases mentions (0)

We have not tracked any mentions of Weights & Biases yet. Tracking of Weights & Biases recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataproc and Weights & Biases, 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.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

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

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.