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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Microsoft Access

    Score7.5 out of 10
    N/AMicrosoft Access is a database management system from Microsoft that combines the relational Microsoft Jet Database Engine with a graphical user interface and software-development tools.

    $139.99

    per PC

    Pricing
    Gemini Enterprise Agent PlatformMicrosoft Access
    Editions & Modules
    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
    Microsoft Access
    $139.99
    per PC
    Offerings
    Pricing Offerings
    Gemini Enterprise Agent PlatformMicrosoft Access
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsPricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.—
    More Pricing Information
    Community Pulse
    Gemini Enterprise Agent PlatformMicrosoft Access
    Considered Both Products
    Google
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    93%
    Would buy again
    14 Answers
    97%
    Would buy again
    29 Answers
    Delivers good value for the price
    92%
    Delivers good value for the price
    12 Answers
    97%
    Delivers good value for the price
    29 Answers
    Happy with the feature set
    87%
    Happy with the feature set
    13 Answers
    93%
    Happy with the feature set
    28 Answers
    Lived up to sales and marketing promises
    78%
    Lived up to sales and marketing promises
    7 Answers
    86%
    Lived up to sales and marketing promises
    19 Answers
    Implementation went as expected
    86%
    Implementation went as expected
    12 Answers
    91%
    Implementation went as expected
    21 Answers
    Features
    Gemini Enterprise Agent PlatformMicrosoft Access
    AI Development
    Comparison of AI Development features of Gemini Enterprise Agent Platform and Microsoft Access
    Feature
    Gemini Enterprise Agent Platform
    8.6
    2 Ratings
    14% above category average
    Microsoft Access
    -
    Ratings
    Machine learning frameworks8.62 Ratings00 Ratings
    Data management9.12 Ratings00 Ratings
    Data monitoring and version control8.22 Ratings00 Ratings
    Automated model training9.12 Ratings00 Ratings
    Managed scaling7.72 Ratings00 Ratings
    Model deployment8.62 Ratings00 Ratings
    Security and compliance8.62 Ratings00 Ratings
    Relational Databases
    Comparison of Relational Databases features of Gemini Enterprise Agent Platform and Microsoft Access
    Feature
    Gemini Enterprise Agent Platform
    -
    Ratings
    Microsoft Access
    7.7
    3 Ratings
    5% below category average
    ACID compliance00 Ratings7.02 Ratings
    Database monitoring00 Ratings8.02 Ratings
    Database locking00 Ratings8.03 Ratings
    Encryption00 Ratings7.02 Ratings
    Disaster recovery00 Ratings7.73 Ratings
    Flexible deployment00 Ratings8.02 Ratings
    Multiple datatypes00 Ratings8.03 Ratings
    Best Alternatives
    Gemini Enterprise Agent PlatformMicrosoft Access
    Small Businesses
    Saturn Cloud
    Score7.8 out of 10
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    DataRobot
    Score8.2 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    DataRobot
    Score8.2 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Gemini Enterprise Agent PlatformMicrosoft Access
    Likelihood to Recommend
    7.6
    (15 ratings)
    7.4
    (102 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (15 ratings)
    Usability
    -
    (0 ratings)
    7.6
    (8 ratings)
    Availability
    -
    (0 ratings)
    8.0
    (1 ratings)
    Performance
    7.6
    (12 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    6.4
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Configurability
    7.8
    (12 ratings)
    -
    (0 ratings)
    Ease of integration
    -
    (0 ratings)
    8.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    Gemini Enterprise Agent PlatformMicrosoft Access
    Likelihood to Recommend
    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
    Microsoft
    As a Material Purchasing/Planning/inventory tracking application, Microsoft Access serves its purpose well. It's presentation is clean, data entry is simple and the ability to customize search fields is welcome. It does, however, come with some caveats; namely, when setting search filters and the need arises to back up a step or two, with Microsoft Access you have to reset, or "clear all", adding extra steps/time to a query.
    Incentivized
    Read full review
    Pros
    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
    Microsoft
    • Very easy to create entity-relationship diagrams for various tables and designing mock layouts.
    • Really easy to navigate as it hold[s] the classic Microsoft UI. Another good thing is that it comes with the complete MS Office Suite.
    • It is really fast when joining multiple tables no matter what type of join.
    • Works on pretty much same SQL scripts so no need to learn a new language!
    Incentivized
    Read full review
    Cons
    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
    Microsoft
    • Microsoft Access has not really changed at all for several years. It might be nice to see some upgrades and changes.
    • The help info is often not helpful. Need more tutorials for Microsoft Access to show how to do specific things.
    • Be careful naming objects such as tables, forms, etc. Names that are too long can get cut off in dialog boxes to choose a table, form, report, etc. So, I wish they would have resizable dialog boxes to allow you to see objects with long names.
    • I wish it could show me objects that are not in use in the database for current queries, tables, reports, forms, and macros. That way unused objects can be deleted without worrying about losing a report or query because you deleted the underlying object.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    No answers on this topic
    Microsoft
    I and the rest of my team will renew our Microsoft Access in the future because we use and maintain many different applications and databases created using Microsoft Access so we will need to maintain them in the future. Additionally, it is a standard at our place of work so it is at $0 cost to us to use. Another reason for renewing Microsoft Access is that we just don' t have the resources needed to extend into a network of users so we need to remain a single-desktop application at this time.
    Read full review
    Usability
    Google
    No answers on this topic
    Microsoft
    Microsoft Access is easy to use. It is compatible with spreadsheets. It is a very good data management tool. There is scope to save a large amount of data in one place. For using this database, one does not need much training, can be shared among multiple users. This database has to sort and filtering features which seem to be very useful.
    Incentivized
    Read full review
    Reliability and Availability
    Google
    No answers on this topic
    Microsoft
    I don't think the program has ever failed me. It is one of those programs where there is always a solution if you know where to look.
    Incentivized
    Read full review
    Performance
    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
    Microsoft
    No answers on this topic
    Support Rating
    Google
    No answers on this topic
    Microsoft
    While I have never contacted Microsoft directly for product support, for some reason there's a real prejudice against MS Access among most IT support professionals. They are usually discouraging when it comes to using MS Access. Most of this is due to their lack of understanding of MS Access and how it can improve one's productivity. If Microsoft invested more resources towards enhancing and promoting the use of MS Access then maybe things would be different.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Microsoft
    there is no key idea, since it is easy to implement Microsoft Access
    Read full review
    Alternatives Considered
    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
    Microsoft
    Excel is a fantastic - robust application that can do so much so easily. Its easy to train and understand. However - excel does not provide a reporting function and that is typically where we will suggest a move to [Microsoft] Access. [Microsoft] Access requires a little more knowledge of data manipulation.
    Incentivized
    Read full review
    Return on Investment
    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
    Microsoft
    • Not having to recreate queries or reports every time you want to use them.
    • Once an item is created and saved as part of the database, you save manpower by not having to recreate them.
    • ROI from a usability standpoint is great. Solid product with great functionality that requires low maintenance usually.
    Incentivized
    Read full review
    ScreenShots

    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.