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Fujitsu Symfoware Analytics Server VS Qubole

Compare Fujitsu Symfoware Analytics Server VS Qubole 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.

Qubole logo Qubole

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
  • Fujitsu Symfoware Analytics Server Landing page
    Landing page //
    2023-09-18
  • Qubole Landing page
    Landing page //
    2023-06-22

Fujitsu Symfoware Analytics Server videos

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Qubole videos

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Fast and Cost Effective Machine Learning Deployment with S3, Qubole, and Spark

More videos:

  • Review - Migrating Big Data to the Cloud: WANdisco, GigaOM and Qubole
  • Review - Democratizing Data with Qubole

Category Popularity

0-100% (relative to Fujitsu Symfoware Analytics Server and Qubole)

Fujitsu Symfoware Analytics Server

Qubole

Big Data
15 15%
Big Data
85% 85
Data Dashboard
12 12%
Data Dashboard
88% 88
Big Data Infrastructure
100 100%
Big Data Infrastructure
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

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What are some alternatives?

When comparing Fujitsu Symfoware Analytics Server and Qubole, 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.

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

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

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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

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

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