The 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
SAP Business Data Cloud
Score 8.6 out of 10
N/A
SAP Business Data Cloud is a fully managed SaaS solution that unifies and governs all SAP data and seamlessly connects with third-party data—giving line-of-business leaders context to make even more impactful decisions.
N/A
Pricing
Gemini Enterprise Agent Platform
SAP Business Data Cloud
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
No answers on this topic
Offerings
Pricing Offerings
Gemini Enterprise Agent Platform
SAP Business Data Cloud
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Pricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.
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
SAP Business Data Cloud is suited mainly for SAP data integration. We could able to easily consolidate the data from S4 and service cloud V2 system. SAP Business Data Cloud enables realtime data replications. We could able to leverage the AI core features. As my previous data warehousing skill is from SAP BW, I am missing some basic features comparing to BW. Master data manual maintenance, Time dependant masterdata, language independent text is also not straightforward.
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
Support for AI/ML use cases with SAP Data bricks and without the need to physically transfer the data from datasphere environment.
Provide near realtime data for analytics from S4C public cloud via data products which was the primary business problem that our customers were concerned with
Provides support to use the best of both the worlds like SAP and Databricks
New releases that support for the zero-copy delta share via SAP Business Data Cloud connect to other products like snowflake, google big query and other products in roadmap
Moving towards the lakehouse architecture or similar architecture from the former warehouse architecture to meet the increasing demand for the data
In the new analytics world, BDC has been a game changer for SAP Analytics. Extending the SAP data for the usage in Databricks, snow flake, GCP has opened new doors for Analytics . Shift from traditional data warehousing to Business Data fabric adapting to the change in the analytics world is the need of the hour and Sap has managed to pulled it off with BDC
SAP Business Data Cloud offers robust capabilities that enable me to analyze data and extract valuable business insights. It creates a single source of truth with seamless SAP integrations that enable faster, more reliable reporting. It has freed my team from complex engineering efforts by simplifying data analytics, giving us more time to focus on generating insights.
SAP Business Data Cloud has been highly available and reliable for our day-to-day activities. We have experienced very few disruptions, and the platform generally performs consistently. The reason for not awarding a perfect score is that occasional maintenance activities or cloud service issues can occur, as is common with any enterprise SaaS platform. Overall, availability has met our business needs very well.
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.
SAP Business Data Cloud provides solid overall performance, with pages and standard reports generally loading within an acceptable timeframe. The platform handles enterprise-scale data and analytics workloads effectively. While very large datasets, complex reports, or extensive integrations can occasionally impact response times, overall performance has been reliable and suitable for business operations.
support team is generally responsive and knowledgeable, and most issues are addressed within acceptable timelines. Documentation and standard guidance are helpful for common scenarios.
It will be more effective. Higher Engagement and Focus. we can ask questions and get the clarity on the spot. Better Knowledge Retention. Stronger Collaboration and Networking. Overall it will be a rich Communication. Sensitive or complex topics are often easier to discuss in person. Informal discussions during breaks often lead to valuable knowledge sharing.
One of the best training session I attended and they covered most of the topics and answered all our questions. participants joined from different regions, infact they all had a different questions and it was different thoughts from all of then and helped to learn better. Though I was on travel, I could able yo attend the session.
I have done implementation of models in traditional bw and Using BDC. The integration of BDC with S4 hana for creating sap data products is seamless and reduces lot of implementation effort. The intelligent app feature is BDC also eases the implementation effort. If i have to compare the previous world with new BDC, implementation effort is largely saved
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.
With a S4 backend a lot of core functionality is made simpler - authorization, data types, currency conversion. In particular if the front end choice is SAP Analytics Cloud. The lack of a good connection from Power BI to the datasphere application (instead of the underlying HANA cloud) is a major drawback in that scenario.
I would rate the contract terms and pricing structure of SAP Business Data Cloud as 7 out of 10. The pricing model is generally aligned with enterprise-scale deployments and provides flexibility for organizations looking to consolidate data, analytics, and governance capabilities on a single platform. The contract terms are comprehensive, and SAP offers multiple licensing options to support different business requirements and growth scenarios.The primary reason for this rating is that the pricing and licensing structure can be complex to understand, particularly when estimating long-term costs as data volumes, users, and workloads increase. Greater transparency around consumption-based charges, usage forecasting, and future scaling costs would make planning easier. I would also prefer simpler licensing bundles and more predictable pricing tiers. Overall, the model supports enterprise needs well, but additional simplicity and clarity would improve the customer experience and make budgeting more straightforward.
SAP Business Data Cloud provides strong scalability for enterprise data management and analytics, supporting growth in data volumes, users, and business use cases. The platform's extensibility and integration capabilities make it adaptable across departments and sites. The reason I did not rate it higher is that large-scale deployments may require additional effort around governance, integration, and advanced customization to fully realize enterprise-wide adoption
The professional services team demonstrated strong technical expertise and a solid understanding of data integration, analytics, governance, and cloud architecture. They provided valuable guidance during planning, implementation, and configuration phases, helping accelerate deployment and reduce potential risks. Their recommendations aligned well with best practices and supported a smooth transition to the platform.The reason I did not assign a higher rating is that some specialized requirements required additional consultation cycles and coordination between different teams, which occasionally extended timelines. In certain cases, deeper industry-specific examples or more tailored implementation guidance would have been beneficial. Despite these challenges, the team remained responsive, collaborative, and focused on achieving business outcomes. Overall, the professional services engagement added significant value and helped maximize the benefits of the SAP Business Data Cloud investment.
