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Google Cloud Dataproc VS Telerik Reporting

Compare Google Cloud Dataproc VS Telerik Reporting and see what are their differences

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Contents:
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  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

Telerik Reporting logo Telerik Reporting

Deliver Reports to Any Application. Add reports to any business application. View reports on mobile devices and in web, desktop and cloud apps. Export reports to any format.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • Telerik Reporting Landing page
    Landing page //
    2023-05-12

Google Cloud Dataproc videos

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Dataproc

Telerik Reporting videos

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Building and Deploying Full-Featured Reports with Telerik Reporting (DevReach 2018)

More videos:

  • Review - Sharing Data on any Screen with Telerik Reporting (DevCraft Q1'14)

Category Popularity

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

Google Cloud Dataproc

Telerik Reporting

Data Dashboard
64 64%
Data Dashboard
36% 36
Big Data
100 100%
Big Data
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100
Development
100 100%
Development
0% 0

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 / 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

Telerik Reporting mentions (0)

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

What are some alternatives?

When comparing Google Cloud Dataproc and Telerik Reporting, 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.

JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.

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

Crystal Reports - Save up to 25% when you buy or upgrade. Discover SAP Crystal Reports to take control of complex data and monitor business performance to achieve results.

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

Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

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