Vertex AI vs. InterSystems IRIS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Vertex AI
Score 8.7 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
InterSystems IRIS
Score 7.8 out of 10
N/A
InterSystems IRIS is a complete cloud-first data platform that includes a multi-model transactional data management engine, an application development platform, and interoperability engine, and an open analytics platform. It is is the next generation of InterSystems' data management software. It includes…N/A
Pricing
Vertex AIInterSystems IRIS
Editions & Modules
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
No answers on this topic
Offerings
Pricing Offerings
Vertex AIInterSystems IRIS
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeOptionalOptional
Additional DetailsPricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.
More Pricing Information
Community Pulse
Vertex AIInterSystems IRIS
Best Alternatives
Vertex AIInterSystems IRIS
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.8 out of 10
Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 7.8 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.8 out of 10
Enterprises
Dataiku
Dataiku
Score 8.2 out of 10
SAP IQ
SAP IQ
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Vertex AIInterSystems IRIS
Likelihood to Recommend
7.8
(13 ratings)
7.4
(44 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(1 ratings)
Usability
-
(0 ratings)
8.2
(3 ratings)
Performance
7.1
(10 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
7.4
(4 ratings)
Implementation Rating
-
(0 ratings)
8.2
(1 ratings)
Configurability
7.2
(10 ratings)
-
(0 ratings)
User Testimonials
Vertex AIInterSystems IRIS
Likelihood to Recommend
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.
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InterSystems
Intersystems IRIS is a really great tool for Interoperability. It has so many capabilities out of the box and then such a great developer community on top of that, that there are really no limits to what you can do in terms of data manipulation and translation. Personally I find it to be a great tool if you are looking for Interoperability software.
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Pros
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
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InterSystems
  • Connecting with mutliple vendor platforms and systems allowing us to consume and provide data as needed.
  • Allowed us to implement our own RESTful api engine to server data to our internal applications.
  • Setting up their recommendations for high availability allow us to perform server maintenance with minimal down time to our users.
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Cons
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
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InterSystems
  • Enhanced documentation, more comprehensive and user-friendly documentation, including detailed tutorials and examples
  • Improving compatibility and integrations with others programming languages
  • Introducing tools and techniques to optimize the performance of ObjectScript applications, such as profiling tools, performance monitoring utilities, and code optimization guidelines
  • A better compatibility with Python libraries
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Usability
Google
No answers on this topic
InterSystems
The interface is very intuitive, the documentation is very good so it is not complicated to operate.
The security is complex, but you can create a special role to access and the user ONLY can operate with the part that it allows.
Also, you can examine the data very quick with the SQL Browser integrated.
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Performance
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.
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InterSystems
No answers on this topic
Support Rating
Google
No answers on this topic
InterSystems
The InterSystems WRC has always been helpful and responsive. The folks I have spoken with are always understanding of our needs and questions and regardless of if the question is simple or complex we are always met with the same professionalism and helpfulness every time. I have no hesitations contacting InterSystems for help!
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Implementation Rating
Google
No answers on this topic
InterSystems
Will done based on a proper planning, so this will makes execution more easier and better.
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Alternatives Considered
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.
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InterSystems
We are using InterSystems IRIS [especially] for database operations as the query performance is really good for [a large] amount of customer data. You can easily integrate for any application like web, desktop, and many more. It also provides BI functionality which is also very easy to implement using InterSystems IRIS[.]
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Return on Investment
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.
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InterSystems
  • Very Fast and scalable software to deal with big data flow, safe and robust.
  • The studio IDE is quite old fashion and lacks a few facilities
  • amazing for complex data consumption, its milyi-model capability wich allows multiple different models for a single set of codes.
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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.