TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Watson Studio

    Score10 out of 10
    N/AIBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A

    Looker

    Score8.1 out of 10
    N/ALooker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.N/A
    Pricing
    IBM Watson StudioLooker
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Watson StudioLooker
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeRequired
    Additional Details—Must contact sales team for pricing.
    More Pricing Information
    Community Pulse
    IBM Watson StudioLooker
    Considered Both Products
    IBM
    No answer on this topic
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    98%
    Would buy again
    85 Answers
    Delivers good value for the price
    No answers on this topic
    99%
    Delivers good value for the price
    75 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    100%
    Happy with the feature set
    87 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    98%
    Lived up to sales and marketing promises
    55 Answers
    Implementation went as expected
    No answers on this topic
    97%
    Implementation went as expected
    69 Answers
    Features
    IBM Watson StudioLooker
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    Looker
    -
    Ratings
    Connect to Multiple Data Sources8.022 Ratings00 Ratings
    Extend Existing Data Sources8.022 Ratings00 Ratings
    Automatic Data Format Detection10.021 Ratings00 Ratings
    MDM Integration6.414 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    17% above category average
    Looker
    -
    Ratings
    Visualization10.022 Ratings00 Ratings
    Interactive Data Analysis10.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    Looker
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.022 Ratings00 Ratings
    Data Transformations10.021 Ratings00 Ratings
    Data Encryption8.020 Ratings00 Ratings
    Built-in Processors10.021 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    Looker
    -
    Ratings
    Multiple Model Development Languages and Tools10.021 Ratings00 Ratings
    Automated Machine Learning10.022 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings00 Ratings
    Self-Service Model Delivery8.020 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    6% below category average
    Looker
    -
    Ratings
    Flexible Model Publishing Options9.022 Ratings00 Ratings
    Security, Governance, and Cost Controls7.022 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Looker
    7.4
    134 Ratings
    10% below category average
    Pixel Perfect reports00 Ratings6.5110 Ratings
    Customizable dashboards00 Ratings8.2133 Ratings
    Report Formatting Templates00 Ratings7.5115 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Looker
    6.8
    132 Ratings
    16% below category average
    Drill-down analysis00 Ratings6.3128 Ratings
    Formatting capabilities00 Ratings6.6130 Ratings
    Integration with R or other statistical packages00 Ratings5.655 Ratings
    Report sharing and collaboration00 Ratings8.8131 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Looker
    7.9
    128 Ratings
    4% below category average
    Publish to Web00 Ratings7.7105 Ratings
    Publish to PDF00 Ratings7.8113 Ratings
    Report Versioning00 Ratings7.984 Ratings
    Report Delivery Scheduling00 Ratings8.2110 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Looker
    6.6
    128 Ratings
    19% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.7124 Ratings
    Location Analytics / Geographic Visualization00 Ratings7.5110 Ratings
    Predictive Analytics00 Ratings4.66 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Looker
    7.3
    128 Ratings
    15% below category average
    Multi-User Support (named login)00 Ratings7.5120 Ratings
    Role-Based Security Model00 Ratings7.2105 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.2122 Ratings
    Report-Level Access Control00 Ratings7.360 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of IBM Watson Studio on Cloud Pak for Data and Looker
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Looker
    5.2
    95 Ratings
    39% below category average
    Responsive Design for Web Access00 Ratings4.991 Ratings
    Mobile Application00 Ratings5.01 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings5.885 Ratings
    Best Alternatives
    IBM Watson StudioLooker
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    Posit
    Score10 out of 10
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Watson StudioLooker
    Likelihood to Recommend
    8.0
    (65 ratings)
    8.0
    (134 ratings)
    Likelihood to Renew
    8.2
    (1 ratings)
    9.2
    (8 ratings)
    Usability
    9.6
    (2 ratings)
    8.8
    (12 ratings)
    Availability
    8.2
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    8.2
    (1 ratings)
    6.0
    (1 ratings)
    Support Rating
    8.2
    (1 ratings)
    8.8
    (14 ratings)
    In-Person Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Online Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    10.0
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.5
    (51 ratings)
    Data Sources
    -
    (0 ratings)
    7.3
    (51 ratings)
    Ease of integration
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    8.2
    (1 ratings)
    10.0
    (1 ratings)
    Professional Services
    -
    (0 ratings)
    10.0
    (1 ratings)
    Vendor post-sale
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Vendor pre-sale
    8.2
    (1 ratings)
    10.0
    (1 ratings)
    User Testimonials
    IBM Watson StudioLooker
    Likelihood to Recommend
    IBM
    It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
    Incentivized
    Read full review
    Google
    When data drives potential for new orders, Looker earns its place in our tech stack. If, on the other hand, we are hoping for pipeline generation, Looker is useful if you are willing to repeatedly go check customer utilizations .... it is not appropriate if you are hoping to automate data analysis for this purpose.
    Incentivized
    Read full review
    Pros
    IBM
    • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
    • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
    • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
    • Estimator validation lets data scientists test and prove different models.
    Incentivized
    Read full review
    Google
    • Show visited pages - sessions, pageviews - which programs are viewed the most.
    • Displays session source/medium views to see where users are coming from.
    • It shows the video titles, URLs, and event counts so we can monitor the performance of our videos.
    • It gives a graphic face to the numbers, such as using bar charts, pie graphs, and other charts to show user trends or which channels are driving engagement.
    • Our clients like to see the top pages visited for a month.
    • I like the drop-and-drag approach, and building charts is a little easier than it was before.
    Incentivized
    Read full review
    Cons
    IBM
    • The cost is steep and so only companies with resources can afford it
    • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
    • It takes a while to learn how to input different kinds of skin defects for detection
    Incentivized
    Read full review
    Google
    • Documentation is scarce, and very difficult to find when you need it.
    • Pricing is unclear, particularly as you look to scale your reports across the business.
    • Data from other sources is not represented in the system as well as first party Google services.
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
    Incentivized
    Read full review
    Google
    I give it this rating because it deems as effective, I am able to complete majority of my tasks using this app. It is very helpful when analyzing the data provided and shown in the app and it's just overall a great app for Operational use, despite the small hiccups it has (live data).
    Incentivized
    Read full review
    Usability
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
    Read full review
    Google
    Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
    Incentivized
    Read full review
    Reliability and Availability
    IBM
    From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
    Incentivized
    Read full review
    Google
    No objections
    Incentivized
    Read full review
    Performance
    IBM
    Never had slow response even on our very busy network
    Incentivized
    Read full review
    Google
    Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok
    Incentivized
    Read full review
    Support Rating
    IBM
    I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
    Incentivized
    Read full review
    Google
    Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
    Incentivized
    Read full review
    In-Person Training
    IBM
    The trainers on the job are very smart with solutions and very able in teaching
    Incentivized
    Read full review
    Google
    No answers on this topic
    Online Training
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
    Read full review
    Google
    No answers on this topic
    Implementation Rating
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
    Read full review
    Google
    Very satisfied, easy to implement
    Incentivized
    Read full review
    Alternatives Considered
    IBM
    The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
    Incentivized
    Read full review
    Google
    Looker Studio, you can easily report on data from various sources without programming. Looker Studio is available at no charge for creators and report viewers. Enterprise customers who upgrade to Looker Studio Pro will receive support and expanded administrative features, including team content management. So it's good.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    IBM
    No answers on this topic
    Google
    Perfect price to performance
    Incentivized
    Read full review
    Scalability
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
    Read full review
    Google
    No answers on this topic
    Return on Investment
    IBM
    • Could instantly show data driven insights to drive 20% incremental revenue over existing results
    • Still don't have a real use case for unstructured data like twitter feed
    • Some of the insights around user actions have driven new projects to automate mundane tasks
    Incentivized
    Read full review
    Google
    • Looker has a poignant impact on our business's ROI objectives. As an advertising exchange we have specific goals for daily requests and fill, and having premade Looks to monitor this is an integral piece of our operational capability
    • To facilitate an efficient monthly billing cycle in our organization, Looker is essential to track estimated revenue and impression delivery by publisher. Without the Looks we have set up, we would spend considerably more time and effort segmenting revenue by vertical.
    • Looker's unique value proposition is making analytical tools more digestible to people without conventional analytical experience. Other competing tools like Tableau require considerably more training and context to successfully use, and the ability to easily plot different visualizations is one of its greatest selling points.
    Incentivized
    Read full review
    ScreenShots

    Looker Screenshots

    Screenshot of a Looker dashboard with a geo chart.