AtScale Adaptive Analytics (A3) vs Hortonworks Data Platform comparison

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The GUI interface is nice and easy to use."

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"We use it for data science activities.""The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers.""The upgrades and patches must come from Hortonworks.""It is a scalable platform.""Ranger for security; with Ranger we can manager user’s permissions/access controls very easily.""The product offers a fairly easy setup process.""Ambari Web UI: user-friendly.""Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request."

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Cons
"The product was not able to meet our 10 second refresh requirements.""The organization of the icons is not saved across users.""There was an issue with the incremental aggregation not working as indicated."

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"More information could be there to simplify the process of running the product.""Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases.""I would like to see more support for containers such as Docker and OpenShift.""It's at end of life and no longer will there be improvements.""I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors.""The cost of the solution is high and there is room for improvement.""Security and workload management need improvement.""It would also be nice if there were less coding involved."

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Pricing and Cost Advice
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  • "It is priced well and it is affordable"
  • "Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results."
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    Ranking
    5th
    Views
    237
    Comparisons
    201
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    6th
    out of 22 in Hadoop
    Views
    606
    Comparisons
    352
    Reviews
    5
    Average Words per Review
    354
    Rating
    8.0
    Comparisons
    Also Known As
    AtScale, AtScale Intelligence Platform
    Hortonworks, HDP
    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.



    Hortonworks is a leading innovator in the industry, creating, distributing and supporting enterprise-ready open data platforms and modern data applications. Our mission is to manage the world's data. We have a single-minded focus on driving innovation in open source communities such as Apache Hadoop, NiFi, and Spark. We along with our 1600+ partners provide the expertise, training and services that allow our customers to unlock transformational value for their organizations across any line of business. Our connected data platforms powers modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. We are Powering the Future of Data.
    Sample Customers
    Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
    Mayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-Mobile
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company12%
    Computer Software Company7%
    Healthcare Company6%
    REVIEWERS
    Comms Service Provider30%
    Manufacturing Company10%
    Government10%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm15%
    Comms Service Provider6%
    Outsourcing Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise8%
    Large Enterprise76%
    REVIEWERS
    Small Business25%
    Midsize Enterprise18%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise13%
    Large Enterprise61%

    AtScale Adaptive Analytics (A3) is ranked 5th in Data Virtualization while Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews. AtScale Adaptive Analytics (A3) is rated 5.0, while Hortonworks Data Platform is rated 8.0. 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, the top reviewer of Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". AtScale Adaptive Analytics (A3) is most compared with Denodo, Dremio, ThoughtSpot, SAP BusinessObjects Business Intelligence Platform and Kyvos, whereas Hortonworks Data Platform is most compared with Amazon EMR, Apache Spark, Cloudera DataFlow and HPE Ezmeral Data Fabric.

    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.