G2

Swati S.

Student

Small-Business (50 or fewer emp.)

9/25/2026

"A Practical SDK for Building with AI"

4/5

What do you like best about Google Vertex AI SDK?

I really appreciate how effortlessly it allows you to transition from a simple idea to a tangible product without any roadblocks.

Rather than just providing an API key for text responses, it takes care of all the heavy lifting in one spot—seamlessly switching between Gemini models, integrating your own data for reliable answers, and securely connecting to Google Cloud without any hassle. It truly makes the process of building real AI applications feel seamless instead of cobbled together. Review collected by and hosted on G2.com.

What do you dislike about Google Vertex AI SDK?

It feels incredibly bureaucratic. You can't simply drop in an API key and get started—you have to go through the hassle of setting up Google Cloud projects, managing IAM permissions, and creating service accounts just to test a single prompt.

And to make matters worse, Google frequently renames and reorganizes its SDK libraries, which means a lot of the documentation and code examples you stumble upon online are either broken or outdated. It seems designed for massive enterprise pipelines, not for developers who just want to get things done quickly. Review collected by and hosted on G2.com.

What problems is Google Vertex AI SDK solving and how is that benefiting you?

It saves developers from the hassle of reinventing the wheel just to launch an AI app safely in the real world.

Rather than dealing with exposed API keys, piecing together clunky glue code for database queries, or stressing over servers crashing during peak traffic, the SDK takes care of all that behind the scenes. Review collected by and hosted on G2.com.