Argyle Data vs Pivotal Greenplum HD [EOL] comparison

Cancel
You must select at least 2 products to compare!
Executive Summary

We performed a comparison between Argyle Data and Pivotal Greenplum HD [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
768,415 professionals have used our research since 2012.
Ranking
20th
out of 22 in Hadoop
Views
33
Comparisons
13
Reviews
0
Average Words per Review
0
Rating
N/A
Unranked
In Hadoop
Buyer's Guide
Hadoop
April 2024
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
768,415 professionals have used our research since 2012.
Comparisons
Also Known As
EMC Greenplum HD
Learn More
VMware
Video Not Available
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



Pivotal Greenplum is a commercial fully featured data warehouse powered by the open source Greenplum Database. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum is powered by advanced cost-based query optimizer delivering high analytical query performance on large data volumes.
Sample Customers
Cloudera, Gigamon, Hortonworks
Samsung SDI, WGSN Group
Buyer's Guide
Hadoop
April 2024
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
768,415 professionals have used our research since 2012.

Argyle Data is ranked 20th in Hadoop while Pivotal Greenplum HD [EOL] doesn't meet the minimum requirements to be ranked in Hadoop. Argyle Data is rated 0.0, while Pivotal Greenplum HD [EOL] is rated 0.0. On the other hand, Argyle Data is most compared with , whereas Pivotal Greenplum HD [EOL] is most compared with .

See our list of best Hadoop vendors.

We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.