AtScale Adaptive Analytics (A3) vs Denodo comparison

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  • "The licensing should be improved, as the cost per connector is quite expensive."
  • "I don't know the actual cost, but it's tens of thousands of dollars per month."
  • "The licensing charges for this solution are payable annually."
  • "The pricing is pretty good, and I would rate it at four out of five."
  • "Cost wise, on a scale from one to five, with one being the cheapest and five being the most expensive, Denodo would be at three. We get all the features in a bundle."
  • "Depending on the size of the client you want to work with, it can be prohibitively expensive at times."
  • "There is an express edition and a licensed enterprise edition."
  • "Talking with my manager and others, nobody has complained about the pricing so far which is a positive sign."
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    Top Answer:I am not super familiar with the pricing, but so far, it seems good. We have been happy. We haven't seen any problems. The only time we had to pay extra was during the upgrade. We didn't upgrade at… more »
    Top Answer:I would like to see a proper way to avoid killing the sourcing systems. There is some parameterization in this case if you push down the query to some systems, but I think there are still issues with… more »
    Top Answer:I'd say that there is a misconception in some of the answers (but don't worry, it's a common one).  Alteryx is not an ETL tool, it's an analytics platform with very powerful ETL capabilities… more »
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    Also Known As
    AtScale, AtScale Intelligence Platform
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    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.


    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.


    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.

    Denodo operates in the data virtualization field– providing high performance, unified access to the broadest range of enterprise, big data, cloud and unstructured sources, and the most agile data services provisioning and governance – at less than half the cost of traditional data integration. Denodo’s customers have gained significant business agility and ROI by creating a unified virtual data layer that serves strategic enterprise-wide information needs for agile BI, big data analytics, web and cloud integration, single-view applications, and SOA data services across every major industry

    Denodo Platform offers the broadest access to structured and unstructured data residing in enterprise, big data, and cloud sources, in both batch and real-time, exceeding the performance needs of data-intensive organizations for both analytical and operational use cases, delivered in a much shorter timeframe than traditional data integration tools.

    The Denodo Platform drives agility, faster time to market, increased customer engagement from single view of customer and operational efficiencies from real-time business intelligence and self-serviceability.
    Founded in 1999, Denodo is privately held, with main offices in Palo Alto (CA), Madrid (Spain), Munich (Germany) and London (UK).

    Learn more about AtScale Adaptive Analytics (A3)
    Learn more about Denodo
    Sample Customers
    Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
    Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta
    Top Industries
    Computer Software Company20%
    Financial Services Firm19%
    Insurance Company8%
    Healthcare Company7%
    Financial Services Firm31%
    Comms Service Provider8%
    Renewables & Environment Company8%
    Computer Software Company16%
    Financial Services Firm16%
    Manufacturing Company8%
    Comms Service Provider8%
    Company Size
    Small Business19%
    Midsize Enterprise7%
    Large Enterprise74%
    Small Business33%
    Midsize Enterprise11%
    Large Enterprise56%
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    Buyer's Guide
    Denodo vs. IBM Cloud Pak for Data
    November 2022
    Find out what your peers are saying about Denodo vs. IBM Cloud Pak for Data and other solutions. Updated: November 2022.
    655,711 professionals have used our research since 2012.

    AtScale Adaptive Analytics (A3) is ranked 4th in Data Virtualization while Denodo is ranked 2nd in Data Virtualization with 20 reviews. AtScale Adaptive Analytics (A3) is rated 0.0, while Denodo is rated 7.4. On the other hand, the top reviewer of Denodo writes "Saves our underwriters' time with data virtualization, but could provide more learning resources". AtScale Adaptive Analytics (A3) is most compared with Dremio, SAP BusinessObjects Business Intelligence Platform, Alteryx and Looker, whereas Denodo is most compared with Azure Data Factory, Informatica PowerCenter, Informatica Enterprise Data Catalog, Delphix and Mule Anypoint Platform.

    See our list of best Data Virtualization vendors.

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