AtScale Adaptive Analytics (A3) vs Phocas comparison

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249 views|215 comparisons
0% willing to recommend
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62 views|35 comparisons
Executive Summary

We performed a comparison between AtScale Adaptive Analytics (A3) and Phocas based on real PeerSpot user reviews.

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To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: April 2024).
768,740 professionals have used our research since 2012.
Featured Review
Ranking
Views
249
Comparisons
215
Reviews
0
Average Words per Review
0
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N/A
Views
62
Comparisons
35
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
BI (Business Intelligence) Tools
April 2024
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools. Updated: April 2024.
768,740 professionals have used our research since 2012.
Comparisons
Also Known As
AtScale, AtScale Intelligence Platform
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Phocas Software
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Overview

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.



Access, see and dive into the data that makes your business tick.
Of course, building your own useful dashboards and scorecards is straightforward but what really sets our business intelligence software apart is the ad hoc analysis layer, what we call the Grid. It’s here where you follow your train of thought to answer your own questions and inevitably uncover far-reaching business opportunities.

Sample Customers
Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
Repco, Gazman, BUNZL, Dahlsens, ThermoFisher Scientific, Vic's Meats
Top Industries
VISITORS READING REVIEWS
Financial Services Firm27%
Manufacturing Company11%
Computer Software Company7%
Healthcare Company6%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise8%
Large Enterprise75%
No Data Available
Buyer's Guide
BI (Business Intelligence) Tools
April 2024
Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools. Updated: April 2024.
768,740 professionals have used our research since 2012.

AtScale Adaptive Analytics (A3) is ranked 37th in BI (Business Intelligence) Tools while Phocas is ranked 56th in BI (Business Intelligence) Tools. AtScale Adaptive Analytics (A3) is rated 5.0, while Phocas is rated 0.0. 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". On the other hand, AtScale Adaptive Analytics (A3) is most compared with Denodo, Dremio, ThoughtSpot, SAP BusinessObjects Business Intelligence Platform and Alation Data Catalog, whereas Phocas is most compared with .

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