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Fujitsu Symfoware Analytics Server VS Google Cloud Dataproc

Compare Fujitsu Symfoware Analytics Server VS Google Cloud Dataproc and see what are their differences

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Fujitsu Symfoware Analytics Server logo Fujitsu Symfoware Analytics Server

Fujitsu Symfoware Analytics Server is a high-performance database software that is designed for use with data warehouses.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Fujitsu Symfoware Analytics Server Landing page
    Landing page //
    2023-09-18
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Fujitsu Symfoware Analytics Server videos

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Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to Fujitsu Symfoware Analytics Server and Google Cloud Dataproc)

Fujitsu Symfoware Analytics Server

Google Cloud Dataproc

Big Data
12 12%
Big Data
88% 88
Data Dashboard
8 8%
Data Dashboard
92% 92
Big Data Infrastructure
100 100%
Big Data Infrastructure
0% 0
Development
0 0%
Development
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.

Fujitsu Symfoware Analytics Server mentions (0)

We have not tracked any mentions of Fujitsu Symfoware Analytics Server yet. Tracking of Fujitsu Symfoware Analytics Server 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 Fujitsu Symfoware Analytics Server and Google Cloud Dataproc, you can also consider the following products

SQream - SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

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

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

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

Pepperdata - Pepperdata's software runs on existing Hadoop clusters to give operators predictability, capacity, and visibility for their Hadoop jobs.

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

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