AtScale Adaptive Analytics (A3) vs Looker comparison

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Pros
"The GUI interface is nice and easy to use."

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"I would rate the stability a ten out of ten. I didn't face any issues with stability.""Looker allows you to generate the most optimal SQL queries in a DC through UI actions. We had signed a contract with Google Cloud to use BigQuery. That was the primary reason we adopted Looker. It works better with BigQuery than any other BI platform. We also like how this tool was developed. It was designed with an eye toward microservices architecture.""We can centralize all our data models.""It's quite effortless to navigate through various applications and review their updated data in real-time.""From a developer's perspective, the way the functionality's being handled is great.""The stability of Looker has been good since I have been using it. However, it depends on what components are being used.""It is a pretty stable solution because it is a cloud-based product.""The product is easy to use."

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

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"Integrations with other BI tools could be better.""It needs to be more user-friendly.""Looker doesn't connect to Excel, which is a huge disappointment because a lot of data is presented in Excel. Also, it can't consume data directly from REST APIs, which is necessary. Looker needs to expand its horizons when it comes to data sources. The inability to connect to different data sources is hampering our use cases. Currently, it only has an ODBC connection that connects to a database. It needs to connect to other data sources, such as Excel, APIs, and different platforms.""The visualization capability of the product is limited.""The product does not have documented material.""Stability needs improvement.""The integration with different databases must be improved.""The main area of concern in Looker is probably related to blending the data from the different sources, including the data present internally in the company and on the cloud."

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Pricing and Cost Advice
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  • "Looker is expensive and could be made better by reducing it."
  • "It's not cheap, but it's not expensive for big companies."
  • "The price of Looker usually depends on the solution's provider, but it is usually cheaper than the other products in the market. Looker is offered at different prices for different companies."
  • "It is cheap."
  • "I do not have to make any payments to use the solution."
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    Top Answer:With Looker, I have experienced benefits in terms of usability and shareability.
    Top Answer:I do not have to make any payments to use the solution. In the beginning, Looker may work fine for its users. If advanced users who have experience with BI tools use Looker, then they may find it to… more »
    Top Answer:The visualization capability of the product is limited. From an improvement perspective, the product should have more visualization capability. I can't clean data in Looker, and if I try to do it… more »
    Ranking
    5th
    Views
    228
    Comparisons
    200
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    4th
    out of 31 in Embedded BI
    Views
    2,246
    Comparisons
    1,776
    Reviews
    11
    Average Words per Review
    608
    Rating
    7.9
    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.



    Looker is a powerful data analytics platform that empowers businesses to explore and analyze their data in real time. 

    With its intuitive interface and robust features, Looker enables users to easily create and share interactive dashboards, reports, and visualizations. 

    The product's advanced data modeling capabilities and seamless integration with popular data sources make it a top choice for organizations looking to gain valuable insights from their data.

    Sample Customers
    Rakuten, TD Bank, Aetna, Glaxo-Smith Kline, Biogen, Toyota, Tyson
    Yahoo!, Etsy, Kohler, Hipcamp, Hubspot, Kickstarter, Venmo, Dollar Shave Club, 600+ customer
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company8%
    Healthcare Company7%
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm17%
    Retailer8%
    Recruiting/Hr Firm8%
    VISITORS READING REVIEWS
    Educational Organization33%
    Computer Software Company10%
    Financial Services Firm10%
    Manufacturing Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise8%
    Large Enterprise75%
    REVIEWERS
    Small Business26%
    Midsize Enterprise42%
    Large Enterprise32%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise46%

    AtScale Adaptive Analytics (A3) is ranked 5th in Data Virtualization while Looker is ranked 4th in Embedded BI with 19 reviews. AtScale Adaptive Analytics (A3) is rated 5.0, while Looker 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 Looker writes "The APIs are exposed at every level, so it's highly modular". AtScale Adaptive Analytics (A3) is most compared with Denodo, Dremio, SAP BusinessObjects Business Intelligence Platform, ThoughtSpot and Collibra Lineage, whereas Looker is most compared with Amazon QuickSight, Tableau, Google Data Studio, Qlik Sense and Databricks.

    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.