Catchpoint vs. GoodData.AI

I like the synthetic test feature it has from the edge which mimics the real user - that for me is one of the best features. The certificate expiration, the API monitoring, the slowness breakdown to show where the slowdown happens, and more.

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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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• Our standard operating material documents Catchpoint’s breadth on HTTP/Browser, API, Streaming, DNS, FTP, TCP, SMTP, Ping, Traceroute, SSH with content validation and custom widgets/dashboards. This gives SREs and L0/L1 a single place to validate both page flows and the underlying network/application protocols.
• Product runbooks use Catchpoint to validate critical steps (for ex, login, overview dashboard, unit dashboards) and to detect DNS issues that break those journeys. so we catch experience regressions even when the backend looks healthy.
• We’ve standardized Catchpoint alert categories/templates with ITSM so L0 includes the right analysis in handoffs. This tightened “first message, best message” during incidents.
• Our operating procedures use Catchpoint for alwayson availability checks with email notifications and multi‑location verification when a site is down. This is useful for unambiguous “is it up/where is it failing” signals.

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Invited by TrustRadius (TR) on Vendor's Behalf

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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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• Missing Functionality: For our organisation, we use multiple observability tools and what we miss in Catchpoint is its ability to display a list of muted monitors in the dashboard. This was a business requirement for our company where the business wanted to know at any given point of time, a list of monitors that were muted during an outage or a scheduled maintenance. This feature was unavailable in Catchpoint, however, we hope to see some enhancements in the future.

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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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The Catchpoint tool has now become an integral part of our DevOps toolkit due to its extensive range of capabilities, including application performance monitoring, network health tracking, DNS visibility, and edge performance analysis. Its seamless integration with our existing monitoring infrastructure has significantly enhanced our ability to detect potential issues proactively, analyze root causes in real time, and resolve incidents much faster, ultimately improving overall system reliability and user experience.

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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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It's hard to find the functionalities that I am looking for in the application. Even if I did something in the past, after a time I have to re-learn again where the functionalities are. This is a powerful tool, but not user-friendly. Texts in the buttons and menus are not always meaningful or easily comprehensible.

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

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

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The customer support is fantastic as they keep you updated and follow up even though we may not even follow up. Make sure they send a communication so that we remain updated. They value engineers who will get on a call with you to understand any requirement we have on any test, and they bring in the best developers on call.

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

GoodData implementation team was professional and courteous

very easy to implement as the product is user-friendly

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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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Smart Bear Foglight Dynatrace CEM Catchpoint: I have used many synthetic monitoring products. Honestly, there are no big differences in features among all the products listed above or that I have used before. Probably, price and support might play big roles in selecting the products. I do not know the prices of these products.

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

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• Catchpoint is not the only monitoring tool we use for our web properties. The test alerts raised by Catchpoint serves as a confirmation of possible outages/problems with an application. This has helped to reduce false-positive alerts thus improving the response of the operations team; they don't have spend time chasing ghosts
• The unlimited scheduled tests we can run on the enterprise nodes has been a very cost effective solution compared to similar web monitoring tools
• The ability to quickly dive into the test result details help to get to the root cause of a test failure quickly

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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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Invited by the Vendor

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