Vertex AI vs. InterSystems IRIS

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Vertex AI
Score 8.8 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 7.7 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
NoNo
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
Considered Both Products
Vertex AI
Chose Vertex AI
Out the gate, Vertex just seemed to be more accurate on command with our prompts. We spent less time versus other platforms getting exactly what we wanted. Google's UI is way more robust, too, with how you can configure the exact settings you want when doing image generation. …
Chose Vertex AI
We tend to adapt and use the platform that suits the customers needs the best. We return to Vertex AI because it is the most in-depth option out there so we can configure it any which way they want. However, it is not quick to market and constantly changing or updating it's …
Chose Vertex AI
I have used OpenAI for their LLM and Vector Embedding service, they are really good at it. But Vertex AI has other better services like training pipeline , depolyment creation etc.
Chose Vertex AI
I have used AWS sagemaker is the past for AI/ML model development in my previous organization for everything. Sagemaker is good with respect to certain services but when we talk about Vertex AI in comparison, AutoML is the differentiator. AutoML is very strong and is able to …
Chose Vertex AI
Let's say that Azure OpenAI Service offers you exactly what you look for in simple-to-understand terms: your own private instance of OpenAI API backend.

Chose Vertex AI
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 …
InterSystems IRIS
Chose InterSystems IRIS
Better integration of Intersystems solution
Better performances
Better support ofr developers
Chose InterSystems IRIS
Tibco was not originally planned to be used for HL7 Integrations and as such we had to create some very complicated processes in order for the messages to parse and validate appropriately. It was simply not built for this type of interoperability. Comparatively, InterSystems …
Chose InterSystems IRIS
My organizations use InterSystems IRIS and i think is a good bet.
Chose InterSystems IRIS
The database, integration engine, and load balancer are all in one place. This is advantageous because 1) there are no hidden costs and it is also far easier to set up the network configuration. 2) The sales engineers are very willing to help in any situation and they are also …
Chose InterSystems IRIS
This have best database management and security provider future

Time saving for complex database management
Chose InterSystems IRIS
InterSystems IRIS includes a wide array and assortment of otherwise stand-alone solutions. Having a single platform to support database interoperability, storage, and analytics, let alone Security and SQL tools is a great advantage over solutions that tackle a single aspect of …
Chose InterSystems IRIS
The best software on the market, the capacity for analysis, storage and security in the handling and storage of data, provides you with the certainty of increasing efficiency in all organizational processes, ensuring that you will have your information available at all times, …
Chose InterSystems IRIS
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 …
Chose InterSystems IRIS
Because [it's] a very powerful and efficient tool that has the ability to manage your data in a quick and reliable manner. It's easy to use especially if you work in the area of managing a large number of databases or simply need an extra hand. Inter Systems IRIS can provide …
Chose InterSystems IRIS
The process of migration and scaling due to heavy lifting is also easier, the speed of performance of IRIS is good and fast were able to get a high increase in query performance after our switch and [immense] amount of features integrated with the solution, from the web …
Chose InterSystems IRIS
InterSystems IRIS is more efficient than other applications therefore, it is preferred over the others. Moreover, it is more cost-effective than other applications like Microsoft SQL Server, therefore, many organizations such as small businesses can afford it. Lastly, …
Chose InterSystems IRIS
You definitely need to use it for a fast, solution-oriented experience.
Chose InterSystems IRIS
InterSystems IRIS has the flexibility and power to be more than just a databse engine. We are able to create our business processes and interface with out javascript front end. SQL Server has been useful through the Entity framework connecting both together has been the …
Chose InterSystems IRIS
New docker system is really good, performance improves at the cost of some breaking changes.
Chose InterSystems IRIS
I have always studied other databases, I cannot say if it is a problem for Brazilian colleges, however, after meeting IRIS / Caché, my concept of databases has changed. A much more robust and faster bank.
Now that I have had the opportunity to work with this database, there is …
Chose InterSystems IRIS
The only comparison I can make is that they are all database tools. I strongly believe that just the fact that IRIS is not so widespread and easy to find in research forums is the reason why it is not so "famous". The tool meets and meets all needs for any situation.
Chose InterSystems IRIS
InterSystems IRIS is the union of the best parts of Caché and Ensemble, with a lot of new implementations and some enhancements. IRIS have the same multidimensional database estruture as like Caché and works as an Integration tool like Ensemble.
Chose InterSystems IRIS
We did not consider alternatives; implemented InterSystems IRIS based on a corporate reference.
Chose InterSystems IRIS
Did not consider alternatives; we opted for the free trial and then decided to move ahead with a long-term plan with InterSystems IRIS.
Chose InterSystems IRIS
Did not try other alternatives
Chose InterSystems IRIS
They shared a set of limits:
- speed
- exhaustive memory consumption
Best Alternatives
Vertex AIInterSystems IRIS
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.9 out of 10
Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 7.7 out of 10
Google Cloud SQL
Google Cloud SQL
Score 8.9 out of 10
Enterprises
InterSystems IRIS
InterSystems IRIS
Score 7.7 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
6.8
(0 ratings)
7.4
(0 ratings)
Likelihood to Renew
-
(0 ratings)
8.2
(0 ratings)
Usability
-
(0 ratings)
8.2
(0 ratings)
Performance
7.3
(0 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
7.4
(0 ratings)
Implementation Rating
-
(0 ratings)
8.2
(0 ratings)
Configurability
7.0
(0 ratings)
-
(0 ratings)
User Testimonials
Vertex AIInterSystems IRIS
Likelihood to Recommend
Since we have used this platforms in multiple scenarios we can confidently say that where this excels is when you want to combine free form Q&A bots with structured responses. Gemini shines through and stands tall with it's natural language model and accurate reading of knowledge base to provide the best answers to whatever prompt you can throw at it.
Read full review
It is best suited in the scenario where a single interface is required for providing [a complete end-to-end] solution to the customers. You don't need [a] separate platform to write code or [perform] database operations. All you need is InterSystems IRIS software and you are done. You can also use analytics functionality which is one of the greatest [features] which many customers need for their solution[.]
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Pros
  • 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
  • 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
  • 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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  • 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
No answers on this topic
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 is always top notch with their security and user interface performance. We use Google's entire suite in our business anyways, so using Vertex became second nature very quickly. I will say, though, that Google does need to come down on the price somewhat with their token allocation. Also, their UI is very robust, so it does require some time for training to really master it.
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No answers on this topic
Support Rating
No answers on this topic
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
No answers on this topic
Will done based on a proper planning, so this will makes execution more easier and better.
Read full review
Alternatives Considered
Out the gate, Vertex just seemed to be more accurate on command with our prompts. We spent less time versus other platforms getting exactly what we wanted. Google's UI is way more robust, too, with how you can configure the exact settings you want when doing image generation. The other platforms do a decent job, but we've gravitated more towards using Vertex now.
Read full review
Tibco was not originally planned to be used for HL7 Integrations and as such we had to create some very complicated processes in order for the messages to parse and validate appropriately. It was simply not built for this type of interoperability. Comparatively, InterSystems IRIS for Health (HealthConnect) has out of the box HL7 features that would parse messages, offer a variety of validation options, simplified data lookups and transformation and reduced the amount of time it took to develop connections with out vendor systems. InterSystems IRIS also allows one to push just single files into production at a time so there is less of a chance of us pushing something that should not be in production yet as our previous system was set up to with TIBCO deployments
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Return on Investment
  • 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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  • 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.
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.