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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

    Oracle Database

    Score8.2 out of 10
    N/AOracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.

    $0.05

    per hour

    Pricing
    Gemini Enterprise Agent PlatformOracle Database
    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
    Oracle Base Database Service - Standard
    $0.0538
    per hour
    Oracle Base Database Service - Enterprise
    $0.1075
    per hour
    Oracle Base Database Service - High Performance
    $0.2218
    per hour
    Standard Edition
    Contact Sales
    Enterprise Edition
    Contact Sales
    Personal Edition
    Contact Sales
    Offerings
    Pricing Offerings
    Gemini Enterprise Agent PlatformOracle Database
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    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 PlatformOracle Database
    Considered Both Products
    Google
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    93%
    Would buy again
    14 Answers
    86%
    Would buy again
    24 Answers
    Delivers good value for the price
    92%
    Delivers good value for the price
    12 Answers
    83%
    Delivers good value for the price
    19 Answers
    Happy with the feature set
    87%
    Happy with the feature set
    13 Answers
    89%
    Happy with the feature set
    25 Answers
    Lived up to sales and marketing promises
    78%
    Lived up to sales and marketing promises
    7 Answers
    88%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    86%
    Implementation went as expected
    12 Answers
    91%
    Implementation went as expected
    21 Answers
    Features
    Gemini Enterprise Agent PlatformOracle Database
    AI Development
    Comparison of AI Development features of Gemini Enterprise Agent Platform and Oracle Database
    Feature
    Gemini Enterprise Agent Platform
    8.6
    2 Ratings
    14% above category average
    Oracle Database
    -
    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 Oracle Database
    Feature
    Gemini Enterprise Agent Platform
    -
    Ratings
    Oracle Database
    8.3
    7 Ratings
    2% above category average
    ACID compliance00 Ratings8.47 Ratings
    Database monitoring00 Ratings8.77 Ratings
    Database locking00 Ratings8.77 Ratings
    Encryption00 Ratings9.06 Ratings
    Disaster recovery00 Ratings8.86 Ratings
    Flexible deployment00 Ratings6.47 Ratings
    Multiple datatypes00 Ratings8.17 Ratings
    Best Alternatives
    Gemini Enterprise Agent PlatformOracle Database
    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 PlatformOracle Database
    Likelihood to Recommend
    7.6
    (15 ratings)
    8.2
    (199 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (6 ratings)
    Usability
    -
    (0 ratings)
    7.6
    (13 ratings)
    Performance
    7.6
    (12 ratings)
    -
    (0 ratings)
    Support Rating
    -
    (0 ratings)
    7.0
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.6
    (3 ratings)
    Configurability
    7.8
    (12 ratings)
    -
    (0 ratings)
    User Testimonials
    Gemini Enterprise Agent PlatformOracle Database
    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
    Oracle
    We migrated from NoSQL to an Oracle database. One of the reasons was robust backup and recovery options available in the Oracle database, which provide zero data loss. A transactional database like Oracle is a better fit for our use case than NoSQL. On a large scale, deployment was evaluated as a cheaper option than the NoSQL engine. This conclusion came even after considering Oracle license is expensive.
    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
    Oracle
    • Supports most of the Operating Systems like Unix, Linux and Windows Server.
    • It works well in high load environment under intense parallel transactions setup.
    • Highly reliable DBMS, especially RAC is very much reliable.
    • Well managed and predictable release of security patches.
    • We have highly scaled it from on-prem to a cloud cluster environment for our product.
    • One of the best-performing DBMSs on Linux machines under test delivers high throughput (QPS).
    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
    Oracle
    • The memory demand and management makes it impossible to run it in a container.
    • It is hard to perform local unit testing with Oracle even using the personal edition (aggressive all the available memory grab for itself).
    • Lack of built in database migrations (e.g. as Flyway).
    • The need to install the Oracle client in addition to its drivers.
    • The cost of running it, especially in the Cloud.
    • Comes with very spartan community grade client/management tools whereas the commercial offerings tend to demand a premium price.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    No answers on this topic
    Oracle
    There is a lot of sunk cost in a product like Oracle 12c. It is doing a great job, it would not provide us much benefit to switch to another product even if it did the same thing due to the work involved in making such a switch. It would not be cost effective.
    Incentivized
    Read full review
    Usability
    Google
    No answers on this topic
    Oracle
    Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
    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
    Oracle
    No answers on this topic
    Support Rating
    Google
    No answers on this topic
    Oracle
    1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    Oracle
    Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
    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
    Oracle
    Because of a rich user base and support for any critical issue, this is one of the best options to choose. In case the project has a TCO issue, it can compromise and choose Postgres as the best alternative. SQL server is also good and easy to code and maintain but performance is not as good as the Oracle
    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
    Oracle
    • Multiple applications can use the same database and still get high performance
    • Licensing cost is still a concern compared to the other options available in the market that are very very inexpensive
    • Almost a maintenance free database
    • Oracle Grid makes life easy in terms of monitoring and managing the databases
    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.