Compare Argyle Data vs. BlueData

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Argyle Data Logo
16 views|4 comparisons
BlueData Logo
513 views|421 comparisons
Ranking
21st
out of 22 in Hadoop
Views
16
Comparisons
4
Reviews
0
Average Words per Review
0
Rating
N/A
11th
out of 22 in Hadoop
Views
513
Comparisons
421
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2021.
535,544 professionals have used our research since 2012.
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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



The BlueData EPIC™ (Elastic Private Instant Clusters) software platform solves the infrastructure challenges and limitations that can slow down and stall Big Data deployments. With EPIC software, you can spin up Hadoop and Spark clusters – with the data and analytical tools that your data scientists need – in minutes rather than months.

Leveraging the power of containers, BlueData EPIC makes it easier, faster, and more cost-effective to deploy Big Data infrastructure and applications—including Hadoop, Spark, Kafka, Cassandra, and more— whether on-premises or in the public cloud. Your data scientists and analysts can use the tools they prefer. You can run it with any shared storage environment, so you don’t have to move your data. And it delivers the enterprise-grade security and governance that your IT teams require.

With the BlueData EPIC software platform, you can provide a highly flexible and secure Big-Data-as-a-Service environment to enable faster time-to-insights and faster time-to-value – now available either on-premises or on AWS.

Offer
Learn more about Argyle Data
Learn more about BlueData
Sample Customers
Cloudera, Gigamon, Hortonworks
The Advisory Board Company, AIG, Attunity, Comcast, conEdison, HGST, Intellisoft, John Hopkins, Tarleton State University, National Supercomputing Center, Orange, Quantres
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider18%
Financial Services Firm10%
Media Company8%
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2021.
535,544 professionals have used our research since 2012.

Argyle Data is ranked 21st in Hadoop while BlueData is ranked 11th in Hadoop. Argyle Data is rated 0.0, while BlueData is rated 0.0. On the other hand, Argyle Data is most compared with , whereas BlueData is most compared with HPE Ezmeral Data Fabric, Bright Computing, Cloudera Distribution for Hadoop, Hortonworks Data Platform and Amazon EMR.

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.