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Google Cloud Dataproc VS Segment Protocols

Compare Google Cloud Dataproc VS Segment Protocols and see what are their differences

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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

Segment Protocols logo Segment Protocols

Quality control for customer data
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Segment Protocols Landing page
    Landing page //
    2023-07-31

Google Cloud Dataproc videos

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Dataproc

Segment Protocols videos

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Category Popularity

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

Google Cloud Dataproc

Segment Protocols

Data Dashboard
100 100%
Data Dashboard
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Big Data
100 100%
Big Data
0% 0
Analytics
0 0%
Analytics
100% 100

User comments

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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.

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

Segment Protocols mentions (0)

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

What are some alternatives?

When comparing Google Cloud Dataproc and Segment Protocols, 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.

Metaplane - Metaplane is the Datadog for Data — a data observability tool that continuously monitors your data stack, alerts you when something goes wrong, and provides relevant metadata to help you debug.

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

Telmai - Monitor your customer data quality in real-time

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

Truth{set} - Measuring the quality of consumer data

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