Azure Personalizer vs. Vertex AI

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Personalizer
Score 7.3 out of 10
N/A
Personalizer, available on Microsoft's Azure platform of cloud services and applications, is a personalization engine used to boost conversion and engagement, and add real-time relevance to product recommendations, with reinforcement learning–based capabilities available only through Azure. Users can select content, optimize layouts, and personalize offers with two API calls. Part of Azure Cognitive Services, Personalizer can be used as a standalone personalization solution or to complement…N/A
Vertex AI
Score 8.9 out of 10
N/A
Vertex AI on Google Cloud is an MLOps solution, used to build, deploy, and scale machine learning (ML) models with fully managed ML tools for any use case.
$0
Starting at
Pricing
Azure PersonalizerVertex AI
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
Azure PersonalizerVertex AI
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsPricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.
More Pricing Information
Best Alternatives
Azure PersonalizerVertex AI
Small Businesses
Bloomreach - The Agentic Platform for Personalization
Bloomreach - The Agentic Platform for Personalization
Score 8.8 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Medium-sized Companies
Dynamic Yield
Dynamic Yield
Score 8.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Enterprises
Dynamic Yield
Dynamic Yield
Score 8.4 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure PersonalizerVertex AI
Likelihood to Recommend
7.0
(1 ratings)
6.9
(10 ratings)
Performance
-
(0 ratings)
7.4
(7 ratings)
Configurability
-
(0 ratings)
7.1
(7 ratings)
User Testimonials
Azure PersonalizerVertex AI
Likelihood to Recommend
Microsoft
Azure Personalizer is better for freshers who wishes to reach out to their potential customers who like their products.But for a established ecommerce ownerthis one is not recomended to use it since they only provides product personalisations for 50 or fewer products efficiently.
Read full review
Google
Vertex AI seems to be a lot more accurate with image editing versus other competitors (including free one). We do a lot of image creation, especially of dogs in very certain scenarios. We use Adobe Stock to get us started, but many times we need some very specific edits done to the image. We've found Vertex can produce those with a lot more precision than other AI image generators.
Read full review
Pros
Microsoft
  • Customer recommendation
  • High engagement Rate
  • Increase sales cycle
Read full review
Google
  • 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
Read full review
Cons
Microsoft
  • Less features compared to other tool in market
  • Learning loop time consumption is little high
  • Number of items for personalisation is less ie 50 or fewer
Read full review
Google
  • Customization of AutoML models - A must needed capability to be able to tweak hyperparameters and also working with different models
  • Model Explainability -Providing more comprehensive explanations about how models are utilizing features could be very beneficial
  • Model versioning and experiments tracking - Enhancing the versioning capability could be good for end users
Read full review
Performance
Microsoft
No answers on this topic
Google
It's not always instant, but understandable when it's under heavy load. It's not impressive nor disappointing, just what is expected. But when calling this platform through API's for it to do the actions requested there is minimal delay and wait time. It feels very responsive and quick when integrating it with a call center chat platform for example.
Read full review
Alternatives Considered
Microsoft
Azure Personaliser gives features at Reasonable rate. Also Owing a small E-commerce store I would prefer Azure Personalizer based on its features .
Read full review
Google
Vertex AI is much more accessible to non-developers than IBM's product. Moreover, Vertex AI integrates well with other Google products, enhancing its capabilities. A big plus is its integration with cloud storage, that allows for better management and access of data. In all honesty, it wasn't much of a difficult choice to choose Vertex AI.
Read full review
Return on Investment
Microsoft
  • Revenue generated increased by 2 times
  • Product sale increased
  • landing page clicks increased
Read full review
Google
  • It is pay as you go model so it'll save more cost of your org. In our case previously we used to incurred 1-2L/Month now we are reduced it to 80k-1L.
  • It'll help you save your model training & model selection time as it provides pre-trained models in autoML.
  • It'll help you in terms of Security wherein we can use row level security access to authorized persons.
Read full review
ScreenShots

Vertex AI Screenshots

Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.Screenshot of gen AI for summarization, classification, and extraction - Text prompts can be created to handle any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Vertex AI’s PaLM API for text can be used to design prompts with flexibility in terms of their structure and format.Screenshot of Custom ML training overview and documentation - An overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.Screenshot of ML model training and creation -  A guide that shows how Vertex AI’s AutoML is used to create and train custom machine learning models with minimal effort and machine learning expertise.Screenshot of deployment for batch or online predictions - When using a model to solve a real-world problem, the Vertex AI prediction service can be used for batch and online predictions.