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Kafka VS Google Cloud Dataproc

Compare Kafka VS Google Cloud Dataproc and see what are their differences

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

Kafka logo Kafka

Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Kafka Landing page
    Landing page //
    2022-12-24
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Kafka videos

+ Add

Franz Kafka - In The Penal Colony BOOK REVIEW

More videos:

  • Review - LITERATURE: Franz Kafka
  • Review - The Trial (Franz Kafka) – Thug Notes Summary & Analysis

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

Kafka

Google Cloud Dataproc

Data Integration
100 100%
Data Integration
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Log Management
100 100%
Log Management
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Kafka and Google Cloud Dataproc. For example, how are they different and which one is better?
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Reviews

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

Kafka Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
In this article, you learned about Kafka, its features, and some top Kafka Alternatives. Even though Kafka is widely used, the technology segment has advanced to the point where other options can overshadow Kafka’s cons. There are various options available for choosing a stream processing solution. Organizations are increasingly embracing event-driven architectures powered...
Source: hevodata.com

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
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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.

Kafka mentions (0)

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

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 Kafka and Google Cloud Dataproc, you can also consider the following products

Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.

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

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

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

RabbitMQ - RabbitMQ is an open source message broker software.

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

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