Google Reviews, Ratings & Features 2026 | Gartner Peer Insights

Gartner defines AI platforms for data science and machine learning (DSML) as platforms that support end-to-end AI model and agent development and life cycle management using diverse data science and AI techniques. These platforms enable data preparation, model building, deployment and governance, and are delivered as fully managed cloud services or on-premises infrastructure for AI experts and business users.

AI platforms for DSML primarily target AI experts, including data scientists and AI engineers, providing a comprehensive suite of data science and AI techniques for augmented and automated decision making. These platforms support building models using data-intensive methods such as machine learning, as well as techniques such as simulation and optimization. They handle all types of data — tabular, image, video and text — for multimodal applications, such as computer vision, natural language processing (NLP) or composite AI, that combines optimization with machine learning.

Active

Find the top AI Platforms for Data Science and Machine Learning with Gartner. Compare and filter by verified product reviews and choose the software that’s right for your organization.

AI Platforms for Data Science and Machine Learning

Google Cloud Datalab (Legacy)

Google Cloud Dataflow

Google Cloud AutoML Tables (Legacy)

Gemini Enterprise Agent Platform

Google AI Platform Notebooks (Legacy)

Google

Manager Of Data And Analytics

We have used Vertex AI to test AI agents including voice, customer service agents rather than classsic ML projects. Overall I believe it is a solid and flexible platform, specially if you are already working on GCP.  Not simple to master though.

50M - 250M USD

<50M USD

250M - 500M USD

1B - 3B USD

10B - 30B USD

30B + USD

500M - 1B USD

3B - 10B USD

Gov't/PS/ED <5,000 Employees

Gov't/PS/ED 5,000 - 50,000 Employees

Gov't/PS/ED 50,000 + Employees

Principal Product Manager

A good ML/ML Ops platform from Google that offer unified application development tool that is enterprise grade with good governance

Project Lead

I used Vertex AI for machine learning projects and it is a very good and reliable platform. It makes it easier to build and deploy models all in one place. It supports both coding and low code options so depending on the project we can write custom code or use autoML Overall i believe it is a powerful platform for ML projects, especially if you are already working with Google Cloud

Amazon Web Services (AWS)

Microsoft

Databricks

Oracle

BigML

Cloudera

DataRobot

Accenture

H2O.ai

Domino Data Lab

Dataiku

Alteryx

Other...

Infosys

Algolytics

Anaconda

Teradata

Fusionex

Alibaba Cloud

Lexalytics

1010data

FICO

Dassault Systèmes

MathWorks

Hitachi Vantara

BasisAI

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Check out our career opportunities at goo.gle/3DLEokh

Reviews

Ratings Overview

Overall experience with

Favorable Review

Integrated Machine Learning Workflow Streamlined by Vertex AI With Google Cloud Synergy

Critical Review

Enterprise grade ML and AI tooling

Likes and dislikes about

likes

dislikes