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Google Cloud Dataproc VS QuickBI

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

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Powerful SaaS integration toolkit for SaaS developers - create, amplify, manage and publish native integrations from within your app with Cyclr's flexible Embedded iPaaS. featured
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

QuickBI logo QuickBI

Export data from over 300 sources to a data warehouse and analyze it with a reporting tool of your choice. Quick and easy setup.
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
Not present

Google Cloud Dataproc videos

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Dataproc

QuickBI videos

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Analytics | QuickBI Common Chart Analysis

Category Popularity

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

Google Cloud Dataproc

QuickBI

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Integration
0 0%
Data Integration
100% 100
Big Data
100 100%
Big Data
0% 0
Data Pipelines
0 0%
Data Pipelines
100% 100

User comments

Share your experience with using Google Cloud Dataproc and QuickBI. 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.

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

QuickBI mentions (0)

We have not tracked any mentions of QuickBI yet. Tracking of QuickBI recommendations started around Feb 2024.

What are some alternatives?

When comparing Google Cloud Dataproc and QuickBI, 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.

Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.

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

Airbyte - Replicate data in minutes with prebuilt & custom connectors

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

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

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