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OpenText Analytics VS Google Cloud Dataproc

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

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OpenText Analytics logo OpenText Analytics

OpenText Analytics provides software and services to develop and deploy custom business intelligence and information applications.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • OpenText Analytics Landing page
    Landing page //
    2023-07-04
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

OpenText Analytics videos

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OpenText Analytics Live Demo

Google Cloud Dataproc videos

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Dataproc

Category Popularity

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

OpenText Analytics

Google Cloud Dataproc

Data Dashboard
39 39%
Data Dashboard
61% 61
Database Tools
100 100%
Database Tools
0% 0
Big Data
0 0%
Big Data
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0

User comments

Share your experience with using OpenText Analytics and Google Cloud Dataproc. 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 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.

OpenText Analytics mentions (0)

We have not tracked any mentions of OpenText Analytics yet. Tracking of OpenText Analytics 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 / 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: about 2 years ago

What are some alternatives?

When comparing OpenText Analytics and Google Cloud Dataproc, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

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

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.

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

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

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

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