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Vertex AI description
Vertex AI is Google's cloud-based platform for building and using artificial intelligence. It provides tools for building AI models, even without coding experience, and connecting your data from various sources. Vertex AI makes it easier to deploy, manage, and scale your AI projects, helping you integrate AI into your business operations regardless of your current technical capabilities. It stands out by offering pre-trained models and a user-friendly interface for a smoother AI adoption experience.
Who is Vertex AI best for
Vertex AI empowers businesses of all sizes to leverage AI. Its user-friendly interface and pre-trained models simplify building and deploying AI, even without coding. Users praise AutoML for its ease of use and the platform's scalability for large datasets. However, some find the platform complex and expensive.
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Ideal for small, medium, and large enterprises.
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Strong fit for software, IT, and telecommunications; suitable for other sectors.
Vertex AI features
| Supported Vertex AI enables users to build, train, and deploy machine learning models using TensorFlow. |
| Supported Vertex AI offers pre-trained models with the ability to fine-tune them for specific tasks. The platform also supports seamless deployment for these models. |
| Supported Vertex AI enables deployment of models to the cloud in various configurations for real-time or batch predictions, as well as integration with other Google Cloud services. |
| Supported Vertex AI simplifies model creation through AutoML, requiring minimal effort. |
| Supported Vertex AI offers a user-friendly interface through the Google Cloud console and Vertex AI Studio. |
We evaluate the sentiment that users express about non-functional aspects of the software
Value and Pricing Transparency
Customer Service
Ease of Use
Reliability and Performance
Ease of Implementation
Scalability
Vertex AI reviews
We've summarised 411 Vertex AI reviews (Vertex AI G2 reviews) and summarised the main points below.
- The AutoML feature is great for quickly building models without coding experience.
- The platform scales well with large datasets, particularly when used with BigQuery.
- Vertex AI simplifies the process of building and managing machine learning models.
- Provides a comprehensive set of tools for an end-to-end machine learning workflow.
- Can be complex sometimes and users are unsure if it performs correctly
- The platform can be difficult to navigate for new users and has a steep learning curve.
- The cost can get high quickly, making it difficult to stay within budget.
- Customer support is not as extensive as some other machine learning platforms.
Vertex AI pricing
The commentary is based on 65 reviews from Vertex AI G2 reviews.
Vertex AI offers powerful AutoML capabilities and scalability, simplifying model development and deployment. However, reviews consistently mention high costs and a steep learning curve, particularly regarding pricing complexity and initial setup. Budgeting and cost management are key considerations for potential users.
Users sentiment
See the Vertex AI pricing page.
Vertex AI alternatives
vertex-ai vs Amazon SageMakerBetter for users comfortable with AWS ecosystem. Wider range of pre-trained models and easier edge deployment. Steeper learning curve and pricing can be unpredictable. Has more momentum.Read more
Red Hat OpenShift Data ScienceBetter fit for medium-sized businesses and enterprises with existing data science teams. Offers more deployment flexibility, including edge deployment. Has growing momentum. Open-source and highly customizable.Read more
Qlik AutoMLBetter fit for users without data science expertise seeking automated machine learning solutions. Specifically designed for predictive modeling with an easy-to-use interface. Part of a broader suite of data analytics tools. Has more momentum currently.Read more
Google App EngineBetter for general web application development. Easier to use and implement, with better documented pricing. Offers autoscaling and seamless Google Cloud integration. However, community support and documentation may be less comprehensive than Vertex AI's. Consider App Engine as a Vertex AI alternative if your focus is broader than AI/ML.Read more
LookerBetter for business intelligence and data analysis. Easier to use with a more positive pricing sentiment. A strong Looker alternative for AI model building. Looker has broader industry applicability.Read more
SAS Visual Data Mining and Machine LearningBetter for users comfortable with coding, offering more flexibility through Python and R integration. A strong option for large enterprises with established data science teams seeking advanced analytics within their existing infrastructure. However, it has a steeper learning curve for novices and a higher cost compared to Vertex AI.Read more
Vertex AI FAQ
What is Vertex AI and what does Vertex AI do?
Vertex AI is Google Cloud's unified machine learning platform. It streamlines the process of building, training, and deploying machine learning models, offering pre-trained models and AutoML for simplified model creation. Vertex AI caters to all skill levels, from beginners to experienced data scientists.
How does Vertex AI integrate with other tools?
Vertex AI integrates seamlessly with other Google Cloud services, including BigQuery for data storage and Cloud Functions for serverless computing. It also supports TensorFlow and provides pre-trained models for simplified AI development. This streamlines workflows and enhances scalability for AI projects.
What the main competitors of Vertex AI?
Top Vertex AI competitors include Amazon SageMaker, Qlik AutoML, and Red Hat OpenShift Data Science. Other alternatives such as MATLAB, SAS Visual Data Mining and Machine Learning, and Aporia offer similar functionalities for various data science and machine learning tasks.
Is Vertex AI legit?
Yes, Vertex AI is a legitimate and safe platform backed by Google. It offers robust tools for building and deploying AI models, even for users with limited coding experience. However, some users find the platform complex and expensive.
How much does Vertex AI cost?
Vertex AI pricing is "pay as you go" based on the resources consumed. There is no pricing information available on the product page for specific product plans or add-ons. Therefore, it's challenging to determine whether Vertex AI product pricing is worth it without more details.
Is Vertex AI customer service good?
Vertex AI customer support receives mixed reviews. While some users praise the helpfulness of the support team, particularly with API integration, others find it lacking compared to other platforms, especially for complex issues and timely resolutions.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.