We changed our name from IT Central Station: Here's why

AtScale Adaptive Analytics (A3) vs Oracle Essbase comparison

Cancel
You must select at least 2 products to compare!
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
report
Use our free recommendation engine to learn which Data Virtualization solutions are best for your needs.
564,143 professionals have used our research since 2012.
Ranking
4th
Views
1,227
Comparisons
919
Reviews
0
Average Words per Review
0
Rating
N/A
Views
3,345
Comparisons
2,750
Reviews
1
Average Words per Review
708
Rating
9.0
Comparisons
Also Known As
AtScale, AtScale Intelligence Platform
Essbase
Learn More
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.



Oracle Essbase is an OLAP (Online Analytical Processing) Server that provides an environment for deploying pre-packaged applications or developing custom analytic and enterprise performance management applications.
Offer
Learn more about AtScale Adaptive Analytics (A3)
Learn more about Oracle Essbase
Sample Customers
Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
CHU de Rennes, Bellco Credit Union, Akindo Sushiro Co. Ltd, Deutsche Telekom AG, Samarco MineraÊo S.A., PCCW Ltd., QDQ media S.A.U., Boiron Italia, Specialized Bicycle Components Inc., Akindo Sushiro Co. Ltd., Air Canada, Daelim Industrial Co. Ltd.
Top Industries
VISITORS READING REVIEWS
Computer Software Company32%
Financial Services Firm16%
Comms Service Provider11%
Insurance Company6%
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider10%
Financial Services Firm10%
Manufacturing Company6%

AtScale Adaptive Analytics (A3) is ranked 4th in Data Virtualization while Oracle Essbase is ranked 4th in Database Development and Management with 2 reviews. AtScale Adaptive Analytics (A3) is rated 0.0, while Oracle Essbase is rated 8.6. On the other hand, the top reviewer of Oracle Essbase writes "Everybody uses it for financial purposes, but it can also be used for other analytic purposes, such as mathematical models, statistical models, and so on". AtScale Adaptive Analytics (A3) is most compared with Denodo, Dremio, Alteryx, Looker and Collibra Lineage, whereas Oracle Essbase is most compared with Microsoft BI, SAP BusinessObjects Business Intelligence Platform, Oracle OBIEE, IBM Cognos and Tableau.

We monitor all Data Virtualization 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.