Vertex AI Reviews & Product Details

Google Cloud stands "tall" & proximity for the cutting-edge strong innovation enterprise integration with various services in Artificial Intelligence & Machine Learning intricacies, & data analytics capabilities with the services spanning across BigQuery, Cloud Functions, Google Kubernetes Engine, Google Workspace & Firebase etc.

There are enormous features - ease of use & implementation, user-friendly interface, & frequency of use is high due to the versatility of the platform in handling sophisticated workload, orchestration, data analysis, serverless computing, & customer support centric oriented with high-level documentation. Review collected by and hosted on G2.com.

Google Cloud could benefit from enhanced compatibility with legacy systems & non-Google applications, particularly by simplifying the process of custom configurations.

As a leading force in the cloud space, Google Cloud demonstrates innovative growth, a strong customer-centric approach, & a consistently reliable suite of products. Review collected by and hosted on G2.com.

What i really like about google cloud is how well it integrates with other google services, If you're already in google ecosystem for example using gmail, google workspace or bigquery. I used google cloud services daily and everything feels just seamless. The UI is clean and i expecially enjoy the speed and reliability of services like compute engine and cloud storage. Pricing is also very competetive. Even non technical person can use most of the services by google cloud, and for developer its very easy to integrate with. Review collected by and hosted on G2.com.

So the only thing i dislike about google cloud is its invoicing and the billing dashboard its very overwhelming. There are times when i could not identify the charges as the services for being i am charged is not clearly mentioned. Review collected by and hosted on G2.com.

I like best about Vertex AI is how it brings the entire machine learning workflow into one unified platform.From data processing and model training to evaluation and deployment.The AutoML feature is especially helpful for quickly building high performace models with minimal coding.Intigration with Bigquery and other GCP services makes data handling seamless. Review collected by and hosted on G2.com.

While vertex AI is powerful ,there are few things that could be better,the pricing can add up quickly if you are not careful with the resources you use,especially with large-scale training jobs.The UI is clean but sometimes navigating between different components like datasets,models,endpoint feels clunky.Some parts of the documentation felt a bit too technical. Review collected by and hosted on G2.com.

The best thing about Vertex AI is the ease in operating the tools available for Model building and implementation with a thorough approach to the task. The framework is user friendly and lets me as a user get the most out of my efforts with very few steps for integration to achieve my goals and requirements from Vertex AI. Review collected by and hosted on G2.com.

As a new user it was a bit challenging to get acquainted with the platform. It comes with a steep learning curve. Support for custom containers and performance issues can feel a bit delayed. Review collected by and hosted on G2.com.

The best part about Vertex AI is its compatibility with other services of GCP, like Data sources, VPN, BigQuery, Deployment. It makes the agent very compact and secure.

Also, Vertex AI has a no-code platform which makes it easier for non-tech professionals to develop or supervise agents on their own. Review collected by and hosted on G2.com.

In order to utilize Vertex AI, there is a certain level of technical expertise that is required, to develop agents. It makes it difficult for non-tech professionals to develop all the nitty-gritties of developing an agent. With having alternatives which seem more as a no-code agent builder, Vertex AI could go behind on the race. Review collected by and hosted on G2.com.

I’ve had the opportunity to use Google’s Vertex AI platform for several months now, and it has been a solid tool in my data science workflow. Overall, it provides an impressive suite of features that cater to both beginner and experienced data scientists alike.

Strengths:

Unified Interface: Vertex AI simplifies the often-complex task of managing machine learning workflows. The unified interface is intuitive, making it easy to integrate different stages of the machine learning pipeline, from data preprocessing to model training and deployment. The integration with Google Cloud is seamless, which is a huge plus for teams already using the cloud ecosystem. Review collected by and hosted on G2.com.

NA dislike about Vertex AI as of now it is working great Review collected by and hosted on G2.com.

Google Cloud offers a wide range of solutions for technology development and deployment, including Computing, Networking, data Storage and management, AI and machine learning, all in one integrated platform. GCP has user-friendly learning tutorials and reliable community support, which makes it easy to solve whatever challenges might come up. Review collected by and hosted on G2.com.

The user interface can appear complex to newcomers, as it lacks customization options for the left navigation menu. The inability to remove services not used by users can make the interface unnecessarily crowded. Review collected by and hosted on G2.com.

Being a regular frequent user of Google cloud, some of the best features of Google cloud are the tools and flexible services it provides, AI and ML tools , cloud storage , high security , and integration with other google platforms which makes work for developers ,devops and other users in any AI platforms very easy . Review collected by and hosted on G2.com.

Nothing as such I find which I dislike currently about Google cloud even after using it so frequently on daily basis . Review collected by and hosted on G2.com.

One of the things I love most about Vertex AI is that it brings everything we need for machine learning together in 1 location. we can p rep our data, deploy, and even monitor how they are doing without constantly switching around a bunch of different tools.

If you are already using Google Cloud, it’s super slick. It integrates extremely well with things like BigQuery, Cloud Storage; so moving the data around, scaling things up feels quite natural. Review collected by and hosted on G2.com.

it can get expensive as some of the features specially Auto ML Can rack up costs quickly

Not a plug and play as it looks Review collected by and hosted on G2.com.

As a Google Cloud Administrator with two years of hands-on experience, I've had the opportunity to delve deep into the world of cloud computing. Working with Google Cloud Platform (GCP) means always being at the forefront of technological advancements, offering robust solutions that scale seamlessly with business needs. The suite of tools available, from BigQuery to Kubernetes, is extensive and powerful, supported by a vibrant and helpful community that makes problem-solving a collaborative effort. The dynamic nature of cloud technology ensures there's always something new to learn, though the vast array of services can be overwhelming for newcomers. Keeping track of costs and optimizing spending requires constant vigilance, and mastering GCP's full potential demands significant time and effort. While rare, service interruptions can impact critical operations, and some areas of the documentation could be more detailed and user-friendly. Review collected by and hosted on G2.com.

As a Google Cloud Administrator with two years of experience, I've found that navigating the vast array of services can be quite overwhelming at times. It requires constant vigilance to manage costs effectively, and the steep learning curve demands significant time and effort. Occasionally, there are impactful downtimes that can disrupt operations, and some areas of the documentation could definitely use more detail and clarity. Despite these challenges, the role is incredibly rewarding and offers continuous opportunities for growth and learning. Review collected by and hosted on G2.com.