AtScale Adaptive Analytics (A3) vs erwin Data Intelligence by Quest comparison

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We performed a comparison between AtScale Adaptive Analytics (A3) and erwin Data Intelligence by Quest based on real PeerSpot user reviews.

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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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"Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes.""The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good.""The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company.""The solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple.""Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off.""They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal.""erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint.""There is a wide range of widgets that enables the user to find the proper information quickly. The presentation of information is something very valuable."

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

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"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested.""The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one.""Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier.""There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool.""Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things.""The data quality assessment requires third-party components and a separate license.""If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement.""One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."

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Pricing and Cost Advice
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  • "The licensing cost is around $7,000 for user. This is an estimation."
  • "There is an additional fee for the server maintenance."
  • "The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."
  • "erwin's pricing was cheaper than its competitors."
  • "You buy a seat license for your portal. We have 100 seats for the portal, then you buy just the development licenses for the people who are going to put the data in."
  • "erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
  • "We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."
  • "Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."
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    Top Answer:The data mapping manager is the most valuable feature.
    Top Answer:The data quality assessment requires third-party components and a separate license. I would like to have better integration around the data quality. I would appreciate the inclusion of a… more »
    Ranking
    33rd
    out of 57 in Data Governance
    Views
    168
    Comparisons
    138
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    4th
    out of 57 in Data Governance
    Views
    4,864
    Comparisons
    1,457
    Reviews
    11
    Average Words per Review
    1,311
    Rating
    8.4
    Comparisons
    Also Known As
    AtScale, AtScale Intelligence Platform
    erwin DG, erwin Data Governance
    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 erwin Data Intelligence Suite (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog. Then make it accessible and understandable within context via role-based views. This complete metadata-driven approach to data governance facilitates greater IT and business collaboration.

    Sample Customers
    Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
    Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company12%
    Computer Software Company7%
    Healthcare Company6%
    REVIEWERS
    Insurance Company28%
    Pharma/Biotech Company22%
    Computer Software Company22%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Government10%
    Insurance Company8%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise8%
    Large Enterprise75%
    REVIEWERS
    Small Business5%
    Midsize Enterprise21%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise12%
    Large Enterprise63%
    Buyer's Guide
    Data Governance
    May 2024
    Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: May 2024.
    771,212 professionals have used our research since 2012.

    AtScale Adaptive Analytics (A3) is ranked 33rd in Data Governance while erwin Data Intelligence by Quest is ranked 4th in Data Governance with 18 reviews. AtScale Adaptive Analytics (A3) is rated 5.0, while erwin Data Intelligence by Quest is rated 8.6. 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 erwin Data Intelligence by Quest writes "Enabled us to centralize a tremendous amount of data into a common standard, and uniform reporting has decreased report requests". AtScale Adaptive Analytics (A3) is most compared with Denodo, Dremio, ThoughtSpot, SAP BusinessObjects Business Intelligence Platform and Collibra Lineage, whereas erwin Data Intelligence by Quest is most compared with Microsoft Purview Data Governance, Collibra Governance, Alation Data Catalog, Informatica Axon and BigID.

    See our list of best Data Governance vendors.

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