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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

    Gemini Enterprise Agent Platform

    Score8.9 out of 10
    N/AThe Gemini Enterprise Agent Platform is a fully-managed, unified environment designed for the development, orchestration, and governance of Autonomous AI Agents. The platform consolidates AI Studio, Agent Builder, and a diverse Model Garden to support the creation of complex, multi-agent systems grounded in enterprise data and business logic.

    $0

    Starting at

    Pricing
    GoodData.AIGemini Enterprise Agent Platform
    Editions & Modules
    No answers on this topic
    Imagen model for image generation
    $0.0001
    Starting at
    Text, chat, and code generation
    $0.0001
    per 1,000 characters
    Text data upload, training, deployment, prediction
    $0.05
    per hour
    Video data training and prediction
    $0.462
    per node hour
    Image data training, deployment, and prediction
    $1.375
    per node hour
    Offerings
    Pricing Offerings
    GoodData.AIGemini Enterprise Agent Platform
    Free Trial
    YesYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalOptional
    Additional Details—Pricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.
    More Pricing Information
    Community Pulse
    GoodData.AIGemini Enterprise Agent Platform
    Considered Both Products
    GoodData.AI
    No answer on this topic
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    90%
    Would buy again
    73 Answers
    93%
    Would buy again
    14 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    70 Answers
    92%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    90%
    Happy with the feature set
    73 Answers
    87%
    Happy with the feature set
    13 Answers
    Lived up to sales and marketing promises
    93%
    Lived up to sales and marketing promises
    55 Answers
    78%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    84%
    Implementation went as expected
    54 Answers
    86%
    Implementation went as expected
    12 Answers
    Features
    GoodData.AIGemini Enterprise Agent Platform
    BI Standard Reporting
    Comparison of BI Standard Reporting features of GoodData.AI and Gemini Enterprise Agent Platform
    Feature
    GoodData.AI
    8.1
    74 Ratings
    12% above category average
    Gemini Enterprise Agent Platform
    -
    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 Gemini Enterprise Agent Platform
    Feature
    GoodData.AI
    8.1
    74 Ratings
    4% above category average
    Gemini Enterprise Agent Platform
    -
    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 Gemini Enterprise Agent Platform
    Feature
    GoodData.AI
    7.9
    69 Ratings
    2% above category average
    Gemini Enterprise Agent Platform
    -
    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 Gemini Enterprise Agent Platform
    Feature
    GoodData.AI
    8.0
    75 Ratings
    5% above category average
    Gemini Enterprise Agent Platform
    -
    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 Gemini Enterprise Agent Platform
    Feature
    GoodData.AI
    8.3
    51 Ratings
    14% above category average
    Gemini Enterprise Agent Platform
    -
    Ratings
    REST API8.443 Ratings00 Ratings
    Javascript API8.339 Ratings00 Ratings
    iFrames8.340 Ratings00 Ratings
    AI Development
    Comparison of AI Development features of GoodData.AI and Gemini Enterprise Agent Platform
    Feature
    GoodData.AI
    -
    Ratings
    Gemini Enterprise Agent Platform
    8.6
    2 Ratings
    14% above category average
    Machine learning frameworks00 Ratings8.62 Ratings
    Data management00 Ratings9.12 Ratings
    Data monitoring and version control00 Ratings8.22 Ratings
    Automated model training00 Ratings9.12 Ratings
    Managed scaling00 Ratings7.72 Ratings
    Model deployment00 Ratings8.62 Ratings
    Security and compliance00 Ratings8.62 Ratings
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    GoodData.AIGemini Enterprise Agent Platform
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    Score7.8 out of 10
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    Reveal
    Score10 out of 10
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    Score8.2 out of 10
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    Microsoft Power BI Embedded
    Score8 out of 10
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    Score8.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    GoodData.AIGemini Enterprise Agent Platform
    Likelihood to Recommend
    9.2
    (102 ratings)
    7.6
    (15 ratings)
    Likelihood to Renew
    8.9
    (19 ratings)
    -
    (0 ratings)
    Usability
    9.4
    (81 ratings)
    -
    (0 ratings)
    Availability
    8.7
    (3 ratings)
    -
    (0 ratings)
    Performance
    8.7
    (3 ratings)
    7.6
    (12 ratings)
    Support Rating
    10.0
    (11 ratings)
    -
    (0 ratings)
    In-Person Training
    9.0
    (1 ratings)
    -
    (0 ratings)
    Online Training
    8.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    7.0
    (4 ratings)
    -
    (0 ratings)
    Configurability
    7.7
    (2 ratings)
    7.8
    (12 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.AIGemini Enterprise Agent Platform
    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
    Google
    we used Vertex AI on our automation process the model very useful and working as expected we have implemented in our monitoring phase this very helpful our analysis part. real time response is very effective and actively provide detailed overview about our products.this phase is well suited in our org. this model could not applicable for small level projects why because this model not needed for small level projects and without related resource of ML this model not useful. strictly on non cloud org not suitable means on pram not suitable
    Incentivized
    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
    Google
    • Vertex AI comes with support for LOTs of LLMs out of the box
    • MLOps tools are available that help to standardize operational aspects
    • Document AI is an out of the box feature that works just perfectly for our use cases of automating lots to tedious data extraction tasks from images as well as papers
    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
    Google
    • Customization of AutoML models - A must needed capability to be able to tweak hyperparameters and also working with different models
    • Model Explainability -Providing more comprehensive explanations about how models are utilizing features could be very beneficial
    • Model versioning and experiments tracking - Enhancing the versioning capability could be good for end users
    Incentivized
    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
    Google
    No answers on this topic
    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
    Google
    No answers on this topic
    Reliability and Availability
    GoodData.AI
    We are approximately one month since go-live. There has been one short outage.
    Read full review
    Google
    No answers on this topic
    Performance
    GoodData.AI
    I'm generally impressed with how fast it reflects so much data.
    Incentivized
    Read full review
    Google
    Google is always top notch with their security and user interface performance. We use Google's entire suite in our business anyways, so using Vertex became second nature very quickly. I will say, though, that Google does need to come down on the price somewhat with their token allocation. Also, their UI is very robust, so it does require some time for training to really master it.
    Incentivized
    Read full review
    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
    Google
    No answers on this topic
    In-Person Training
    GoodData.AI
    Petr was a rock star - patient, knowledgeable, clear and easy to work with.
    Read full review
    Google
    No answers on this topic
    Online Training
    GoodData.AI
    GoodData implementation team was professional and courteous
    Read full review
    Google
    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
    Google
    No answers on this topic
    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
    Google
    We tend to adapt and use the platform that suits the customers needs the best. We return to Vertex AI because it is the most in-depth option out there so we can configure it any which way they want. However, it is not quick to market and constantly changing or updating it's feature-set. This makes it suitable for bigger customers that have the capital and time to spend on a bigger project that is well researched and not quick to market like some of the other options that feel like a light-version of this.
    Incentivized
    Read full review
    Scalability
    GoodData.AI
    We never had any issues with scalability, other than being limited by workspaces
    Incentivized
    Read full review
    Google
    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
    Google
    • It is pay as you go model so it'll save more cost of your org. In our case previously we used to incurred 1-2L/Month now we are reduced it to 80k-1L.
    • It'll help you save your model training & model selection time as it provides pre-trained models in autoML.
    • It'll help you in terms of Security wherein we can use row level security access to authorized persons.
    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

    Gemini Enterprise Agent Platform Screenshots

    Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.Screenshot of gen AI for summarization, classification, and extraction - Text prompts can be created to handle any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Vertex AI’s PaLM API for text can be used to design prompts with flexibility in terms of their structure and format.Screenshot of Custom ML training overview and documentation - An overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.Screenshot of ML model training and creation -  A guide that shows how Vertex AI’s AutoML is used to create and train custom machine learning models with minimal effort and machine learning expertise.Screenshot of deployment for batch or online predictions - When using a model to solve a real-world problem, the Vertex AI prediction service can be used for batch and online predictions.