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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    GoodData.AI

    Score8.8 out of 10
    N/AGoodData is an analytics platform used by organizations to deliver real-time, governed insights, embedded into products, customized for users, and integrated into any data environment.N/A

    Microsoft Azure

    Score8.5 out of 10
    N/AMicrosoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.

    $29

    per month

    Pricing
    GoodData.AIMicrosoft Azure
    Editions & Modules
    No answers on this topic
    Developer
    $29
    per month
    Standard
    $100
    per month
    Professional Direct
    $1000
    per month
    Basic
    Free
    per month
    Offerings
    Pricing Offerings
    GoodData.AIMicrosoft Azure
    Free Trial
    YesYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details—The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
    More Pricing Information
    Community Pulse
    GoodData.AIMicrosoft Azure
    Considered Both Products
    GoodData.AI
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    90%
    Would buy again
    73 Answers
    92%
    Would buy again
    34 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    70 Answers
    94%
    Delivers good value for the price
    31 Answers
    Happy with the feature set
    90%
    Happy with the feature set
    73 Answers
    95%
    Happy with the feature set
    35 Answers
    Lived up to sales and marketing promises
    93%
    Lived up to sales and marketing promises
    55 Answers
    89%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    84%
    Implementation went as expected
    54 Answers
    94%
    Implementation went as expected
    34 Answers
    Features
    GoodData.AIMicrosoft Azure
    BI Standard Reporting
    Comparison of BI Standard Reporting features of GoodData.AI and Microsoft Azure
    Feature
    GoodData.AI
    8.1
    74 Ratings
    12% above category average
    Microsoft Azure
    -
    Ratings
    Pixel Perfect reports8.055 Ratings00 Ratings
    Customizable dashboards8.974 Ratings00 Ratings
    Report Formatting Templates7.362 Ratings00 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of GoodData.AI and Microsoft Azure
    Feature
    GoodData.AI
    8.1
    74 Ratings
    4% above category average
    Microsoft Azure
    -
    Ratings
    Drill-down analysis7.772 Ratings00 Ratings
    Formatting capabilities7.674 Ratings00 Ratings
    Report sharing and collaboration8.069 Ratings00 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of GoodData.AI and Microsoft Azure
    Feature
    GoodData.AI
    7.9
    69 Ratings
    2% above category average
    Microsoft Azure
    -
    Ratings
    Pre-built visualization formats (heatmaps, scatter plots etc.)8.067 Ratings00 Ratings
    Location Analytics / Geographic Visualization7.656 Ratings00 Ratings
    Predictive Analytics6.540 Ratings00 Ratings
    Pattern Recognition and Data Mining9.620 Ratings00 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of GoodData.AI and Microsoft Azure
    Feature
    GoodData.AI
    8.0
    75 Ratings
    5% above category average
    Microsoft Azure
    -
    Ratings
    Multi-User Support (named login)8.974 Ratings00 Ratings
    Role-Based Security Model8.666 Ratings00 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)8.072 Ratings00 Ratings
    Single Sign-On (SSO)6.546 Ratings00 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of GoodData.AI and Microsoft Azure
    Feature
    GoodData.AI
    8.3
    51 Ratings
    14% above category average
    Microsoft Azure
    -
    Ratings
    REST API8.443 Ratings00 Ratings
    Javascript API8.339 Ratings00 Ratings
    iFrames8.340 Ratings00 Ratings
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of GoodData.AI and Microsoft Azure
    Feature
    GoodData.AI
    -
    Ratings
    Microsoft Azure
    8.4
    27 Ratings
    2% above category average
    Service-level Agreement (SLA) uptime00 Ratings8.126 Ratings
    Dynamic scaling00 Ratings8.725 Ratings
    Elastic load balancing00 Ratings8.624 Ratings
    Pre-configured templates00 Ratings8.225 Ratings
    Monitoring tools00 Ratings8.326 Ratings
    Pre-defined machine images00 Ratings8.424 Ratings
    Operating system support00 Ratings8.926 Ratings
    Security controls00 Ratings8.626 Ratings
    Automation00 Ratings8.224 Ratings
    Best Alternatives
    GoodData.AIMicrosoft Azure
    Small Businesses
    Yellowfin
    Score8.6 out of 10
    IBM Cloud Object Storage
    Score9 out of 10
    Medium-sized Companies
    Reveal
    Score10 out of 10
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Enterprises
    Microsoft Power BI Embedded
    Score8 out of 10
    SAP on IBM Cloud
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    GoodData.AIMicrosoft Azure
    Likelihood to Recommend
    9.2
    (102 ratings)
    8.7
    (96 ratings)
    Likelihood to Renew
    8.9
    (19 ratings)
    10.0
    (17 ratings)
    Usability
    9.4
    (81 ratings)
    8.3
    (36 ratings)
    Availability
    8.7
    (3 ratings)
    6.8
    (2 ratings)
    Performance
    8.7
    (3 ratings)
    -
    (0 ratings)
    Support Rating
    10.0
    (11 ratings)
    9.0
    (27 ratings)
    In-Person Training
    9.0
    (1 ratings)
    -
    (0 ratings)
    Online Training
    8.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    7.0
    (4 ratings)
    8.0
    (2 ratings)
    Configurability
    7.7
    (2 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    8.0
    (13 ratings)
    -
    (0 ratings)
    Data Sources
    8.0
    (13 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (4 ratings)
    -
    (0 ratings)
    Product Scalability
    9.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    8.7
    (2 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    GoodData.AIMicrosoft Azure
    Likelihood to Recommend
    GoodData.AI
    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.
    Incentivized
    Read full review
    Microsoft
    Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
    Read full review
    Pros
    GoodData.AI
    • 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.
    Incentivized
    Read full review
    Microsoft
    • Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
    • You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
    • The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
    • The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
    Incentivized
    Read full review
    Cons
    GoodData.AI
    • 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.
    Incentivized
    Read full review
    Microsoft
    • The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
    • The documentation needs to be improved, and some advanced configuration options require research and experimentation.
    • Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
    Read full review
    Likelihood to Renew
    GoodData.AI
    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
    Incentivized
    Read full review
    Microsoft
    Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
    Read full review
    Usability
    GoodData.AI
    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.
    Incentivized
    Read full review
    Microsoft
    As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
    Incentivized
    Read full review
    Reliability and Availability
    GoodData.AI
    We are approximately one month since go-live. There has been one short outage.
    Read full review
    Microsoft
    It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators
    Incentivized
    Read full review
    Performance
    GoodData.AI
    I'm generally impressed with how fast it reflects so much data.
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    Support Rating
    GoodData.AI
    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
    Incentivized
    Read full review
    Microsoft
    We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
    Incentivized
    Read full review
    In-Person Training
    GoodData.AI
    Petr was a rock star - patient, knowledgeable, clear and easy to work with.
    Read full review
    Microsoft
    No answers on this topic
    Online Training
    GoodData.AI
    GoodData implementation team was professional and courteous
    Read full review
    Microsoft
    No answers on this topic
    Implementation Rating
    GoodData.AI
    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
    Incentivized
    Read full review
    Microsoft
    As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
    Read full review
    Alternatives Considered
    GoodData.AI
    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.
    Incentivized
    Read full review
    Microsoft
    As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
    Incentivized
    Read full review
    Scalability
    GoodData.AI
    We never had any issues with scalability, other than being limited by workspaces
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    Return on Investment
    GoodData.AI
    • 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.
    Incentivized
    Read full review
    Microsoft
    • For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
    • DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
    • Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
    Incentivized
    Read full review
    ScreenShots

    GoodData.AI Screenshots

    Screenshot of Governed Analytics and AI, Built for ScaleScreenshot of Build and Scale Analytics with CodeScreenshot of Ground AI in Trusted Business ContextScreenshot of Automate Analytics with Assistants, Copilots, and AI WorkflowsScreenshot of Embed and Extend Analytics AnywhereScreenshot of Optimize Performance and Compute Cost