Argyle Data vs AtScale Adaptive Analytics (A3) comparison

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Executive Summary

We performed a comparison between Argyle Data and AtScale Adaptive Analytics (A3) 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
Ranking
20th
out of 22 in Hadoop
Views
32
Comparisons
13
Reviews
0
Average Words per Review
0
Rating
N/A
5th
Views
228
Comparisons
200
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
Also Known As
AtScale, AtScale Intelligence Platform
Learn More
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



AtScale is the leading provider of intelligent data virtualization for big data analytical workloads, empowering citizen data scientists to accelerate and scale their business’ data analytics and science capabilities and ultimately build insight-driven 

AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.

Benefits:

No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.

Automatic “smart” aggregate creation: AtSacle’s intelligent aggregates adapt to the data model and how it is used, automating the data engineering tasks required to support those activities and reducing time spent from weeks to hours.

Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.

No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.

Data-as-a-service: AtScale allows metadata to be created once, with centrally defined business rules and calculations, exposing data assets as a service.

Data platform portability: Models built in AtScale are portable, with no need to recreate them for different platforms. AtScale can easily be repointed to new data platforms, making migration seamless to business users.

Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.

Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.

Features:

Design CanvasTM: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.

Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.

Universal Semantic LayerTM: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.

Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.

Virtual Cube Catalog: A gateway to data that is easily discoverable and frictionless—and available to use every day, en masse.

AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.



Sample Customers
Cloudera, Gigamon, Hortonworks
Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm26%
Manufacturing Company11%
Computer Software Company8%
Healthcare Company7%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise8%
Large Enterprise75%
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 AtScale Adaptive Analytics (A3) is ranked 5th in Data Virtualization. Argyle Data is rated 0.0, while AtScale Adaptive Analytics (A3) is rated 5.0. On the other hand, the top reviewer of AtScale Adaptive Analytics (A3) writes "The GUI interface is nice and easy to use, but the organization of the icons is not saved across users". Argyle Data is most compared with , whereas AtScale Adaptive Analytics (A3) is most compared with Denodo, Dremio, SAP BusinessObjects Business Intelligence Platform, ThoughtSpot and Alation Data Catalog.

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