GoodData.AI vs. Looker vs. NativeScript

I think it works nicely for shops that want the analytical power and are ok to host their own infrastructure for the data and etl. For smaller operations with limited budgets but still high demand for analytical features the math may not work out.

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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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I gotta be honest, after a PoC period, we choose to rewrite the whole application in a different cross-platform app. Our developers had to invest a lot of time and effort to debug a lot of plugin-related issues, which we needed to utilize the android mobile phone capabilities. QR reader, special visualizations, and fine-tuning were really hard and often resulted in writing native Android code instead of using the shared Angular code. In the end, we think that writing a standalone Android app and an Angular app would have been a better alternative, as the shared code base was so unreliable that it did not save us any time.

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• The source datasets are often complex, semi-structured and un-linked to key entities. With GoodData, all of these datasets are unified to serve as a central semantic data model layer, building into a galaxy schema with dimensions, bridge, and facts, which then forms the backbone that powers the [...] data intelligence cloud. Building insights and dashboards become a much easier task once the underlying data model is designed. GoodData enforces certain best practices as a BI tool, which must be adhered to get the true value of the raw data. For e.g. the source FDA dashboard may just show inspection data but the Site Profile dashboard built on GoodData goes beyond the standard information and shows more insight into site risk scores and can be drilled into details. There is blog written on this topic: [...].
• GoodData provides a rich collection of visualization options that help us create compelling story-telling via dashboards. Being well-prepared for FDA inspections is essential for maintaining product quality, regulatory compliance, and avoiding serious business setbacks. FDA inspections are critical events that can shape a company’s market access and reputation. The FDA itself offers the FDA Data Dashboard, but it doesn’t make every document available. There is a blog written on this topic: [...].
• Medical devices and technologies do not stop evolving after they receive regulatory approval. Once a product hits the market, it faces real-world usage, compliance challenges, and an array of regulatory scrutiny. Managing these postmarket dynamics is critical to a product’s long-term success and patient safety. However, many companies struggle to keep track of relevant events across a product’s markets, from adverse event reports to changing regulations. Postmarket Intelligence developed on GoodData platform enables us to solve that problem. It empowers MedTech companies to efficiently monitor, assess, and act on postmarket data—saving time, improving decision-making, and ensuring compliance with industry standards. Anyone who is used to trying to get the data they need from the various FDA, and other regulatory agency websites, knows that collecting, cleaning, and structuring that data takes hours. And that’s before any analysis can get done. We enable customers to free up time to focus only on the high-value analysis and subsequent recommendations to leadership, rather than wrangling the data.
• The data pipeline refresh that is provided by GoodData Platform is also quite useful from data engineering perspective. The Automated Data Distribution v2 or commonly called as ADD refresh follows a set pattern of identifying the analytical data model through output stage which helps abstract the complex table definition to simpler views that can help with quick rebuild at the data warehouse level while loading the data into GoodData's ADS storage layer. The import first way of loading data into GoodData's cloud storage, followed by querying for any aggregations or metrics on the GoodData analyzer, makes this simple and fast.
• GoodData's latest product i.e. Cloud also offers several good features like Analytics as Code which helps software engineering teams follow a code-first approach to analytics, where building insights, dashboards or even datasets can be done in YAML templates or serviced by REST APIs. This is particularly forward thinking in the modern technology stack and evolving industry requirements. These provide seamless integration options to front-end and backend code, embedded analytics with multiple choices from HTML to React based workloads. At [...], we are currently exploring most of these features while planning for a future migration from Platform to Cloud.

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• 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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• True native app. The app uses native components and that is quite noticeable in the overall performance of the app. NativeScript is also awesome in the way we can access the native APIs, so we are never really constrained by the framework. If we need, we can just dive into the native APIs without leaving our environment and language (JS).
• Cross-platform. Builds for Android and iOS. It deals with the platforms differences very well.
• Support for Vue.js. Even though it is just a community effort, the NativeScript-Vue plugin is the best alternative to build native Apps with Vue.js. That was a major factor to go with NativeScript.

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• Good Data is already have certain customizable options. However, having more flexibility in customizing reports and dashboards & control over the visual aspects would enhance the overall user experience.
• To make Good Data even more powerful tool, improving the speed and responsiveness of the tool, especially during data-intensive tasks, would be a significantly helpful.
• For new users, the interface can be made more user friendly which would promote easy navigation through features of tool.

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• 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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• The need to know the native Android and iOS APIs to access device hardware and other platform-specific functionality
• Not all user interface components are available for free
• NativeScript has no HTML and DOM, which requires some deep knowledge of different UI tools to be implemented instead

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Because gooddata really helps us in processing data to make reports or dashboards. So we are very satisfied when we use it. What we like is the flexible use of charts. We change at will the use of charts to display in reports or dashboards. Thank you Gooddata for helping companies like us who need flexibility in usage

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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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The hybrid is ok but native is better for performance and the right use case I want to go for is the performance without dealing with too many development tools.

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From a customer perspective it is incredibly usable. We have more users building their own reports that would normally need custom work from our support team. The back end can be daunting when trying to configure things like new data elements or push changes to a report to all existing customers.

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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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We are approximately one month since go-live. There has been one short outage.

No objections

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I'm generally impressed with how fast it reflects so much data.

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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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Support team has been highly responsive and helpful from our first initial deployment to present day. They engage and work with us. know when to escalate for more challenging problems. They also follow up. Overall have had a very good experience with support

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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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The community support is excellent.
They have a slack community as well as a discourse forum
forum.nativescript.org
Both of these offer community driven support.
The forum is more for a threaded discussion. The slack community is more for a quick talk.

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Petr was a rock star - patient, knowledgeable, clear and easy to work with.

GoodData implementation team was professional and courteous

Implementations are hard and we had limited technical resources. We relied too heavily on GD care team. When we found technical gaps, they weren't simple to overcome

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Very satisfied, easy to implement

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GoodData comparing to other platform is very easy to use, customer support and on-boarding support. Set of features, speed of integration in our platform. Also great benefit for us was very competetive pricing.

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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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Ionic Ionic is an excellent Angular-based framework for mobile, and it does give a lot of access to the native device api's. However, the technology is based on Cordova, which means the apps being built are just webviews, with html, css and JS all running on the UI thread, and potentially creating very slow experiences for users. NativeScript is a truly native solution, and so provides a faster user experience. ReactNative We evaluate ReactNative, and found it much the same as NativeScript. The main difference is that your JS is all written with React, while NativeScript lets you choose between normal JS, Angular, and Vue. For our team, Angular was the most appropriate choice.

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Perfect price to performance

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We never had any issues with scalability, other than being limited by workspaces

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• I personally pushed our management to get GoodData implemented, and there on we have been making much more profits than we ever did!
• Last month we made a decision using the platform and withing a short span of time our ROI gets 7X.
• We also made a marketing spend of $100,000 every quater using the insights and metrics, and we are really happy with the returs.

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• 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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• The poor quality of NativeScript documentation has the potential to weigh heavily on development timelines, budgets, and QA resources in a NEGATIVE manner.
• The poor interoperability of NativeScript plugins can significantly increase development time.
• The need to seek out professional instruction to learn how to use NativeScript effectively may become a burden on your budget.
• The number of breaking changes between versions of NativeScript, may cause your development efforts to lag further behind the most recent releases of NativeScript and your other chosen environments than you are accustomed to.
• NativeScript still does not support the latest major version of Angular. Any significant changes to the other environment components of your systems may hold you back even further while NativeScript plays catch-up.