AtScale Adaptive Analytics (A3) vs Netwrix Data Classification Manager comparison

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Executive Summary

We performed a comparison between AtScale Adaptive Analytics (A3) and Netwrix Data Classification Manager based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance.
To learn more, read our detailed Data Governance Report (Updated: April 2024).
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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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"Netwrix Data Classification Manager finds the data in a very efficient manner, and the efficacy of the solution is very good.""It's highly flexible and scalable, offering customers the choice to match their needs and budget."

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

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"One of the key issues is its interface and querying capabilities, which can be complex, making it difficult to interpret logs.""Netwrix Data Classification Manager is very good at network data classification, but it also has to work on endpoint data classification because clients ask for it."

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Pricing and Cost Advice
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  • "The initial pricing might seem reasonable, but costs can quickly escalate when adding components."
  • "Netwrix Data Classification Manager has an affordable price."
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    Top Answer:Netwrix Data Classification Manager finds the data in a very efficient manner, and the efficacy of the solution is very good.
    Top Answer:Netwrix Data Classification Manager has an affordable price. Since the solution is priced according to the client's market size, everybody can afford it.
    Top Answer:Netwrix Data Classification Manager is very good at network data classification, but it also has to work on endpoint data classification because clients ask for it. Although the solution is easy to… more »
    Ranking
    33rd
    out of 57 in Data Governance
    Views
    159
    Comparisons
    138
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    20th
    out of 57 in Data Governance
    Views
    153
    Comparisons
    113
    Reviews
    1
    Average Words per Review
    390
    Rating
    9.0
    Comparisons
    Also Known As
    AtScale, AtScale Intelligence Platform
    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.



    The variety of ways organizations create, store and share data is mind-blowing, making it harder and harder for you to identify what need to be protected. Netwrix Data Classification enables you to accurately identify and classify sensitive and business-critical content across your organization, therefore mitigating the risk of data breaches and satisfying compliance requirements with less effort and expense.

    Sample Customers
    Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company7%
    Healthcare Company7%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise8%
    Large Enterprise76%
    No Data Available
    Buyer's Guide
    Data Governance
    April 2024
    Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: April 2024.
    767,667 professionals have used our research since 2012.

    AtScale Adaptive Analytics (A3) is ranked 33rd in Data Governance while Netwrix Data Classification Manager is ranked 20th in Data Governance with 2 reviews. AtScale Adaptive Analytics (A3) is rated 5.0, while Netwrix Data Classification Manager is rated 9.0. 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 Netwrix Data Classification Manager writes "A comprehensive data classification and information security solution that offers robust functionality, scalability, and competitive pricing". AtScale Adaptive Analytics (A3) is most compared with Denodo, Dremio, ThoughtSpot, SAP BusinessObjects Business Intelligence Platform and Alation Data Catalog, whereas Netwrix Data Classification Manager is most compared with Microsoft Purview and Varonis Platform.

    See our list of best Data Governance vendors.

    We monitor all Data Governance 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.