Argyle Data vs QueryIO comparison

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Argyle Data Logo
32 views|13 comparisons
QueryIO Logo
74 views|58 comparisons
Executive Summary

We performed a comparison between Argyle Data and QueryIO based on real PeerSpot user reviews.

Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Use Argyle Data?
Marco Reyes
Ranking
20th
out of 22 in Hadoop
Views
32
Comparisons
13
Reviews
0
Average Words per Review
0
Rating
N/A
16th
out of 22 in Hadoop
Views
74
Comparisons
58
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Hadoop
March 2024
Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop. Updated: March 2024.
765,234 professionals have used our research since 2012.
Comparisons
Learn More
QueryIO
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Overview

Argyle Data has had the privilege of working with global leaders and visionaries on their strategies for revenue threat analytics, big data, and machine learning. What consistently comes up is that best-in-class carriers know the revenue threats that they have been attacked with in the past. What they don’t know is how to prepare for future attacks that will likely incorporate new types and methods of revenue threats.

What is critical to understand is that a) criminals are continually innovating; b) each subscriber will have many devices, many channels, and many potential attack points; and c) we need a better way to detect new fraud and protect customers and carriers in this new world – today in 2015, not in 2020.

This requires an effective strategy for the use of big data and machine learning in the areas of:

Fraud Threats

Analytics apps for identifying threats from various types of domestic fraud and roaming fraud

Profit Threats

Analytics apps for identifying threats from arbitrage, negative margin, high usage, and bill shock

SLA Threats

Analytics apps for identifying threats from network vulnerabilities and from roaming partners not meeting their SLA windows

Forensic Threats

Graph analysis application for analyzing 1st to 5th degrees of separation between data assets



QueryIO is a Hadoop-based SQL and Big Data Analytics solution, used to store, structure, analyze and visualize vast amounts of structured and unstructured Big Data. It is especially well suited to enable users to process unstructured Big Data, give it a structure and support querying and analysis of this Big Data using standard SQL syntax. QueryIO enables you to leverage the vast and mature infrastructure built around SQL and relational databases and utilize it for your Big Data Analytics needs.
Sample Customers
Cloudera, Gigamon, Hortonworks
Information Not Available
Buyer's Guide
Hadoop
March 2024
Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop. Updated: March 2024.
765,234 professionals have used our research since 2012.

Argyle Data is ranked 20th in Hadoop while QueryIO is ranked 16th in Hadoop. Argyle Data is rated 0.0, while QueryIO is rated 8.0. On the other hand, the top reviewer of QueryIO writes "Stable with good connectivity and good integration capabilities". Argyle Data is most compared with , whereas QueryIO is most compared with Splice Machine.

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