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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Fullstory

    Score8.9 out of 10
    N/AFullstory’s behavioral data platform helps technology leaders make better, more informed decisions by injecting digital behavioral data into their analytics stack. The technology's behavioral data transforms digital visit into actionable insights.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
    FullstoryGemini Enterprise Agent Platform
    Editions & Modules
    Business
    Contact Sales
    Enterprise
    Contact Sales
    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
    FullstoryGemini Enterprise Agent Platform
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    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
    FullstoryGemini Enterprise Agent Platform
    Considered Both Products
    Fullstory
    No answer on this topic
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    96%
    Would buy again
    66 Answers
    93%
    Would buy again
    14 Answers
    Delivers good value for the price
    98%
    Delivers good value for the price
    46 Answers
    92%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    99%
    Happy with the feature set
    68 Answers
    87%
    Happy with the feature set
    13 Answers
    Lived up to sales and marketing promises
    98%
    Lived up to sales and marketing promises
    39 Answers
    78%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    98%
    Implementation went as expected
    41 Answers
    86%
    Implementation went as expected
    12 Answers
    Features
    FullstoryGemini Enterprise Agent Platform
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Fullstory and Gemini Enterprise Agent Platform
    Feature
    Fullstory
    6.2
    19 Ratings
    20% below category average
    Gemini Enterprise Agent Platform
    -
    Ratings
    Responsive Design for Web Access7.917 Ratings00 Ratings
    Mobile Application7.910 Ratings00 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile7.913 Ratings00 Ratings
    Mobile App Analytics6.412 Ratings00 Ratings
    Results and Analysis
    Comparison of Results and Analysis features of Fullstory and Gemini Enterprise Agent Platform
    Feature
    Fullstory
    9.2
    49 Ratings
    2% below category average
    Gemini Enterprise Agent Platform
    -
    Ratings
    Heatmap tool9.937 Ratings00 Ratings
    Click analytics9.044 Ratings00 Ratings
    Scroll maps9.033 Ratings00 Ratings
    Form fill analysis9.026 Ratings00 Ratings
    Conversion tracking9.928 Ratings00 Ratings
    Goal tracking7.923 Ratings00 Ratings
    Funnel Analysis8.034 Ratings00 Ratings
    Session Recording and Replay10.048 Ratings00 Ratings
    User Segmentation10.043 Ratings00 Ratings
    AI Development
    Comparison of AI Development features of Fullstory and Gemini Enterprise Agent Platform
    Feature
    Fullstory
    -
    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
    Best Alternatives
    FullstoryGemini Enterprise Agent Platform
    Small Businesses
    No answers on this topic
    Saturn Cloud
    Score7.8 out of 10
    Medium-sized Companies
    Contentsquare
    Score7.5 out of 10
    DataRobot
    Score8.2 out of 10
    Enterprises
    Glassbox
    Score6.3 out of 10
    DataRobot
    Score8.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    FullstoryGemini Enterprise Agent Platform
    Likelihood to Recommend
    10.0
    (72 ratings)
    7.6
    (15 ratings)
    Likelihood to Renew
    9.7
    (9 ratings)
    -
    (0 ratings)
    Usability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Availability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    8.0
    (1 ratings)
    7.6
    (12 ratings)
    Support Rating
    8.3
    (61 ratings)
    -
    (0 ratings)
    Implementation Rating
    7.5
    (56 ratings)
    -
    (0 ratings)
    Configurability
    7.0
    (1 ratings)
    7.8
    (12 ratings)
    Ease of integration
    9.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    8.0
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    8.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    FullstoryGemini Enterprise Agent Platform
    Likelihood to Recommend
    Fullstory
    It was extremely useful in identifying places in our product where things weren't functioning, or where it looked like action was available to the end user but in reality, it was not and therefore caused lots of confusion. It doesn't help as much in other scenarios to see what catches a user's Eye or where they go if they leave our application as well as an actual in-person interview would help with eye-tracking software.
    Incentivized
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    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
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    Pros
    Fullstory
    • Tracks users' online experiences from start to finish.
    • Makes it easy to share a customer's experiences with the rest of my team.
    • Allows me to use different methods to find evidence of a customer's experience.
    • Shows page insights via segmentation that help me know where to improve my site.
    • Tracks error clicks and dead clicks for quick insights into site improvements.
    • Integrates with HelpScout for easy access to customer problem-solving.
    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
    Fullstory
    • The ramp-up time to learn the entire product can take a little while. There are just so many absolutely wonderful tools and different ways to look at the same type of information that it can take a new user a few weeks to understand and then more time to master. However, FullStory has a ton of training resources to help with that! A lot of my own teammates have taught themselves FullStory through those training resources.
    • The UX of the product is totally wonderful, but there are tiny things that make getting to certain parts of the product slightly more challenging (like clicking into a modal in a modal). Sometimes buttons or links are placed out of my field of view, but those are minor things I notice because I work in UX.
    Incentivized
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    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
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    Likelihood to Renew
    Fullstory
    It's been a phenomenal tool for us; every department that uses it has found something new and unexpected that it can do that they're really excited about. Even if we *only* used it for bug triage, it would be worth our time and money. The fact that we can use it for so many other things as well--gauging how customers interact and use our site, identifying UI problems, etc.--is above and beyond
    Incentivized
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    Google
    No answers on this topic
    Usability
    Fullstory
    Because everything seems to be easy to find and it doesn't take long at all to learn how to use the product
    Incentivized
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    Google
    No answers on this topic
    Reliability and Availability
    Fullstory
    We've never had issues with availability
    Incentivized
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    Google
    No answers on this topic
    Performance
    Fullstory
    It seems the performance is really good and always loads quickly
    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
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    Support Rating
    Fullstory
    They have been overall pretty responsive and proactive. The tool is pretty straightforward to use. Most of the questions we have had to work with them on our how to use new features or adjust our integration to ensure we are gathering all the data from all of our tools.
    Incentivized
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    Google
    No answers on this topic
    Implementation Rating
    Fullstory
    To successfully implement FullStory, it is important to plan your implementation carefully by defining your goals and user segments. You should also use tags and filters to analyze your user data, train your team to use FullStory effectively, and use FullStory in conjunction with other analytics tools to get a more complete picture of your user's behavior. By following these tips, you can gain valuable insights into your users' behavior and experiences, and use this information to improve your website or application.
    Incentivized
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    Google
    No answers on this topic
    Alternatives Considered
    Fullstory
    Smartlook is software that records users on a website
    and mobile app. Finding useful information within thousands of recordings is
    made quick and easy with features that help you accomplish this. I have chosen FullStory because it is easier to use and has more advanced features compared to Smartlook.
    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
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    Scalability
    Fullstory
    Full story was easy to scale with the growth of our teams and organisation
    Incentivized
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    Google
    No answers on this topic
    Return on Investment
    Fullstory
    • Triage for front end bugs - FullStory can sometimes help you spot a bug in action much more quickly than trying to recreate it on your own
    • Observing customers use new features and understanding why a new feature may be performing better or worse than expected
    Incentivized
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    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

    Fullstory Screenshots

    Screenshot of AI-generated Summaries used to Take Action More QuicklyScreenshot of a Visualization of Behavioral Data with Custom DashboardsScreenshot of Ready-made for AI Behavioral Data Straight to the organization's Data EcosystemScreenshot of Fullstory's Session Replay, Combined with Dev ToolsScreenshot of Mobile App Behavioral Data

    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.