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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Red Hat OpenShift

    Score9.1 out of 10
    N/AOpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

    $0.08

    per hour

    Pricing
    LookerRed Hat OpenShift
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    LookerRed Hat OpenShift
    Free Trial
    YesYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeRequiredNo setup fee
    Additional DetailsMust contact sales team for pricing.—
    More Pricing Information
    Features
    LookerRed Hat OpenShift
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Looker and Red Hat OpenShift
    Feature
    Looker
    7.4
    134 Ratings
    10% below category average
    Red Hat OpenShift
    -
    Ratings
    Pixel Perfect reports6.5110 Ratings00 Ratings
    Customizable dashboards8.2133 Ratings00 Ratings
    Report Formatting Templates7.5115 Ratings00 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Looker and Red Hat OpenShift
    Feature
    Looker
    6.8
    132 Ratings
    16% below category average
    Red Hat OpenShift
    -
    Ratings
    Drill-down analysis6.3128 Ratings00 Ratings
    Formatting capabilities6.6130 Ratings00 Ratings
    Integration with R or other statistical packages5.655 Ratings00 Ratings
    Report sharing and collaboration8.8131 Ratings00 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Looker and Red Hat OpenShift
    Feature
    Looker
    7.9
    128 Ratings
    4% below category average
    Red Hat OpenShift
    -
    Ratings
    Publish to Web7.7105 Ratings00 Ratings
    Publish to PDF7.8113 Ratings00 Ratings
    Report Versioning7.984 Ratings00 Ratings
    Report Delivery Scheduling8.2110 Ratings00 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Looker and Red Hat OpenShift
    Feature
    Looker
    6.6
    128 Ratings
    19% below category average
    Red Hat OpenShift
    -
    Ratings
    Pre-built visualization formats (heatmaps, scatter plots etc.)7.7124 Ratings00 Ratings
    Location Analytics / Geographic Visualization7.5110 Ratings00 Ratings
    Predictive Analytics4.66 Ratings00 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Looker and Red Hat OpenShift
    Feature
    Looker
    7.3
    128 Ratings
    15% below category average
    Red Hat OpenShift
    -
    Ratings
    Multi-User Support (named login)7.5120 Ratings00 Ratings
    Role-Based Security Model7.2105 Ratings00 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)7.2122 Ratings00 Ratings
    Report-Level Access Control7.360 Ratings00 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Looker and Red Hat OpenShift
    Feature
    Looker
    5.2
    95 Ratings
    39% below category average
    Red Hat OpenShift
    -
    Ratings
    Responsive Design for Web Access4.991 Ratings00 Ratings
    Mobile Application5.01 Ratings00 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile5.885 Ratings00 Ratings
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of Looker and Red Hat OpenShift
    Feature
    Looker
    -
    Ratings
    Red Hat OpenShift
    8.4
    324 Ratings
    8% above category average
    Ease of building user interfaces00 Ratings8.6275 Ratings
    Scalability00 Ratings9.3309 Ratings
    Platform management overhead00 Ratings8.3290 Ratings
    Workflow engine capability00 Ratings8.6262 Ratings
    Platform access control00 Ratings8.3291 Ratings
    Services-enabled integration00 Ratings8.5273 Ratings
    Development environment creation00 Ratings8.6283 Ratings
    Development environment replication00 Ratings8.3270 Ratings
    Issue monitoring and notification00 Ratings7.9284 Ratings
    Issue recovery00 Ratings8.1279 Ratings
    Upgrades and platform fixes00 Ratings8.5285 Ratings
    Best Alternatives
    LookerRed Hat OpenShift
    Small Businesses
    Cyfe
    Score4 out of 10
    IBM Cloud Foundry
    Score8.5 out of 10
    Medium-sized Companies
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    IBM Cloud Private
    Score9.6 out of 10
    Enterprises
    Sisense
    Score6.9 out of 10
    AWS Elastic Beanstalk
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    LookerRed Hat OpenShift
    Likelihood to Recommend
    8.0
    (134 ratings)
    9.1
    (339 ratings)
    Likelihood to Renew
    9.2
    (8 ratings)
    9.3
    (26 ratings)
    Usability
    8.8
    (12 ratings)
    8.5
    (10 ratings)
    Availability
    10.0
    (1 ratings)
    5.5
    (1 ratings)
    Performance
    6.0
    (1 ratings)
    9.0
    (125 ratings)
    Support Rating
    8.8
    (14 ratings)
    7.0
    (9 ratings)
    In-Person Training
    -
    (0 ratings)
    7.0
    (1 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    7.0
    (3 ratings)
    Configurability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    8.0
    (3 ratings)
    Data Sharing and Collaboration
    8.5
    (51 ratings)
    -
    (0 ratings)
    Data Sources
    7.3
    (51 ratings)
    -
    (0 ratings)
    Ease of integration
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    10.0
    (1 ratings)
    7.3
    (1 ratings)
    Vendor post-sale
    10.0
    (1 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    10.0
    (1 ratings)
    8.0
    (1 ratings)
    User Testimonials
    LookerRed Hat OpenShift
    Likelihood to Recommend
    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.
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    Red Hat
    Red Hat OpenShift, despite its complexity and overhead, remains the most complete and enterprise-ready Kubernetes platform available. It excels in research projects like ours, where we need robust CI/CD, GPU scheduling, and tight integration with tools like Jupyter, OpenDataHub, and Quiskit. Its security, scalability, and operator ecosystem make it ideal for experimental and production-grade AI workloads. However, for simpler general hosting tasks—such as serving static websites or lightweight backend services—we find traditional VMs, Docker, or LXD more practical and resource-efficient. Red Hat OpenShift shines in complex, container-native workflows, but can be overkill for basic infrastructure needs.
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    Pros
    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.
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    Red Hat
    • We had a few microservices that dealt with notifications and alerts. We used OpenShift to deploy these microservices, which handle and deliver notifications using publish-subscribe models.
    • We had to expose an API to consumers via MTLS, which was implemented using Server secret integration in OpenShift. We were then able to deploy the APIs on OpenShift with API security.
    • We integrated Splunk with OpenShift to view the logs of our applications and gain real-time insights into usage, as well as provide high availability.
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    Cons
    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.
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    Red Hat
    • I wouldn't necessarily say there is look everyday technology transform. I can see a trend wherein Red Hat OpenShift is adopting all the new technology trends and helping their customers align with their priorities and the emerging technology trends. I wouldn't call out various scope for development every day. There is scope for development. It is all how the organizations adopt it and how they deliver it to their customers. I don't want to call out there is scope for development. It's happening. It is a never ending process.
    • At the moment, I don't have anything to call out. We are experiencing Red Hat OpenShift and we can see every day they're coming up with new features as and when they come up with new features, we want to experience it more and more. We are looking for opportunities wherein this can be leveraged to help our users and partners.
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    Likelihood to Renew
    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).
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    Red Hat
    This is the current strategy for the company, most of the products in the organisation are aligning to Openshift and various use cases it support. Also lot of applications are being developed for AI use case, openshift.AI provides opportunity to host and leverage the AI capabilities for these applications
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    Usability
    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.
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    Red Hat
    As I said before, the obserability is one of the weakest point of OpenShift and that has a lot to do with usability. The Kibana console is not fully integrated with OpenShift console and you have to switch from tab to tab to use it. Same with Prometheus, Jaeger and Grafan, it's a "simple" integration but if you want to do complex queries or dashboards you have to go to the specific console
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    Reliability and Availability
    Google
    No objections
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    Red Hat
    Redhat openshift is generally reliable and available platform, it ensures high availability for most the situations. in fact the product where we put openshift in a box, we ensure that the availability is also happening at node and network level and also at storage level, so some of the factors that are outside of Openshift realm are also working in HA manner.
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    Performance
    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
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    Red Hat
    Overall, this platform is beneficial. The only downsides we have encountered have been with pods that occasionally hang. This results in resources being dedicated to dead or zombie pods. Over time, these wasted resources occasionally cause us issues, and we have had difficulty monitoring these pods. However, this issue does not overshadow the benefits we get from Openshift.
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    Support Rating
    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.
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    Red Hat
    Their customer support team is good and quick to respond. On a couple of occassions, they have helped us in solving some issues which we were finding a tad difficult to comprehend. On a rare occasion, the response was a bit slow but maybe it was because of the festival season. Overall a good experience on this front.
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    In-Person Training
    Google
    No answers on this topic
    Red Hat
    I was not involved in the in person training, so i
    can not answer this question, but the team in my org worked directly
    with Openshift and able to get the in person training done easily, i did not
    hear problem or complain in this space, so i hope things happen
    seamlessly without any issue.
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    Online Training
    Google
    No answers on this topic
    Red Hat
    We went thru the training material on RH webesite, i think its very descriptive and the handson lab sesssions are very useful. It would be good to create more short duration videos covering one single aspect of openshift, this wll keep the interest and also it breaks down the complexity to reasonable chunks.
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    Implementation Rating
    Google
    Very satisfied, easy to implement
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    Red Hat
    No answers on this topic
    Alternatives Considered
    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.
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    Red Hat
    The Tanzu Platform seemed overly complicated, and the frequent changes to the portfolio as well as the messaging made us uneasy. We also decided it would not be wise to tie our application platform to a specific infrastructure provider, as Tanzu cannot be deployed on anything other than vSphere. SUSE Rancher seemed good overall, but ultimately felt closer to a DIY approach versus the comprehensive package that Red Hat OpenShift provides.
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    Contract Terms and Pricing Model
    Google
    Perfect price to performance
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    Red Hat
    It's easy to understand what are being billed and what's included in each type of subscription. Same with the support (Std or Premium) you know exactly what to expect when you need to use it. The "core" unit approach on the subscription made really simple to scale and carry the workloads from one site to another.
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    Scalability
    Google
    No answers on this topic
    Red Hat
    This is a great platform to deployment container applications designed for multiple use cases. Its reasonably scalable platform, that can host multiple instances of applications, which can seamlessly handle the node and pod failure, if they are configured properly. There should be some scalability best practices guide would be very useful
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    Return on Investment
    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.
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    Red Hat
    • That is a complicated question and one that's not easy for me to answer. There's a lot of factors that go into all of the stuff that we just don't have an easy way of measuring. And we realize that while we're implementing Red Hat OpenShift, we've tried to start measuring some of that stuff, but we don't have a baseline to go on. So it's hard to say. What I can tell you is general experience with the platform has been extremely positive from the development aspect. Teams have been very, very happy with the speed at which they're able to do stuff. They've been happy with that. The way it works in one environment is exactly the way it works in the next environment because we don't have configuration drift, that type of thing, and has had very positive impacts. But we didn't have a baseline to start with. So I can't talk about getting there faster or anything like that.
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    ScreenShots

    Looker Screenshots

    Screenshot of a Looker dashboard with a geo chart.