Sold by: InterSystems
InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® cloud-native services accelerate developers' access to high performance, proven relational database and automated machine learning (AutoML) capabilities.
Overview
InterSystems®, a creative data technology provider dedicated to helping customers solve their most critical scalability, interoperability, and speed problems, offers its market leading InterSystems Cloud portfolio of Smart Data Services through the AWS Cloud Marketplace. The portfolio includes fully managed cloud services designed to speed and simplify the development of cloud-native database and machine learning (ML) applications, while lowering total cost of ownership.
As part of the InterSystems Cloud portfolio of Smart Data Services, InterSystems IRIS Cloud SQL and InterSystems IRIS Cloud IntegratedML give application developers access to InterSystems proven enterprise-class capabilities as self-service, fully managed offerings in the Amazon Web Services (AWS) cloud while providing a fast and seamless on-ramp to the full suite of capabilities in the InterSystems IRIS data platform. InterSystems IRIS is a next-generation enterprise-class data platform that provides powerful database management, integration, analytics, application development, and API management capabilities in a single product that speeds time to value, simplifies architectures, and reduces maintenance effort and cost.
InterSystems IRIS Cloud SQL makes it easy for application developers to leverage InterSystems advanced relational database capabilities as a fully managed, secure, scalable, high performance, highly available cloud-native database-as-a-service (DBaaS).
Available as an additional cloud managed service for InterSystems IRIS Cloud SQL customers, InterSystems IRIS Cloud IntegratedML extends the capabilities of IRIS Cloud SQL to enable SQL developers to quickly build, tune, and execute machine learning models with just a few SQL-like commands, without moving or copying data to a different environment.
InterSystems IRIS Cloud IntegratedML automates much of the tedious work involved in feature engineering and model building and tuning. It also empowers skilled data scientists to become more productive and focus on higher-value tasks. Models created and trained with InterSystems IRIS Cloud IntegratedML are embedded directly within InterSystems IRIS Cloud SQL and execute in response to real-time events and transactions.
Highlights
- Extremely high performance, especially for ingesting and processing incoming data and performing SQL queries on the data with low latency at scale
- Fast and easy to provision and use, with automated security, data encryption, and backups. Ability to easily connect client applications via JDBC, ODBC, DB-API, and ADO.NET drivers
- Learn more about Cloud SQL and Cloud IntegratedML on the InterSystems Developer Hub - https://developer.intersystems.com/products/iris-cloud-sql-integratedml/
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
vCPU deployed per hour | $0.91 |
Allocated storage per hour in 10 GB chunks | $0.005 |
Additional charge for IntegratedML feature per vCPU per hour | $0.228 |
Vendor refund policy
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
InterSystems provides a fast path to get acquainted with our technology, development resources and support. Our Developer Community lets you engage to ask questions and share approaches and solutions. We offer comprehensive online learning courses. Organizations can find the full InterSystems IRIS documentation online, and can rely on enterprise-level support through the iService portal, backed by a 7/24/365 response center.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Sentiment is AI generated from actual customer reviews on AWS and G2
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Ease of use
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Negative reviews
AI generated from product descriptions
Database Performance
Extremely high performance for data ingestion, processing, and SQL query execution with low latency at scale
Machine Learning Integration
Native SQL-based machine learning model building, training, and execution without data movement
Data Platform Capabilities
Enterprise-class database management, integration, analytics, application development, and API management in a single platform
Cloud-Native Architecture
Fully managed, secure, scalable, and highly available database-as-a-service with automated security and data encryption
Connectivity Support
Multiple driver support including JDBC, ODBC, DB-API, and ADO.NET for client application integration
Database Engine Capabilities
Cloud-native database supporting mixed transactional and analytical workloads with high performance and resilience
Security and Compliance
Hyper-secure database deployment supporting compliance programs like HIPAA and FedRAMP with advanced data governance features
Multi-Zone Replication
Automated Amazon RDS Multi-AZ replication ensuring continuous availability and minimizing operational disruptions
Administrative Automation
Automated administrative tasks including provisioning, backup/restore, and software patching to reduce manual database management
Cloud Service Integration
Native integration with AWS services like AWS Key Management Service, AWS Identity and Access Management, Amazon CloudWatch, and AWS Database Migration Service
Distributed Database Architecture
Fully managed, distributed SQL database supporting transactional and analytical workloads in a single engine
Vector Search Capabilities
Integrated vector search functionality with indexed search for AI applications and generative AI use cases
High-Performance Data Ingestion
Ability to ingest millions of events per second using parallel, distributed lock-free pipelines
Concurrent Query Processing
Supports scaling access to tens or hundreds of thousands of concurrent users with super-low latency queries
Cloud-Native Infrastructure
Built on a modern, lock-free cloud-native architecture enabling elastic scalability and high-performance data processing
Standard contract
No
No
No
Customer reviews
5
1 ratings
1 AWS reviews
|
54 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Health, Wellness and Fitness
One of the best
Reviewed on Aug 18, 2025
Review provided by G2
What do you like best about the product?
the practicality of coding, in addition to the integration with different parts of the system with their different purposes, which interconnect in a beautiful way. In a general perspective, the plataform UI is good and easy to understand. Although, sometimes, when there's a need to search for a feature, it's hidden very deep. Fortunately, it is been fixed with the new AI.
What do you dislike about the product?
Unfortunately, Studio is not updated to the present day.
What problems is the product solving and how is that benefiting you?
fast and efficient database
Computer Software
What InterSystems IRIS really is
Reviewed on Aug 10, 2025
Review provided by G2
What do you like best about the product?
in my opinion is kind of a beast, its fast a hell compared to other alternatives and it's come to be more dominant when you are going into scaled things up like crunching huge piles of data or running transactions and doing some real-time analytics, its keep going and had good stability features
the additional components like FHIR and HL7 make it really useful for some of missions and play nice Togher without make you go crazy, it's really flexible system and you can choice to store data in all sorts of ways, from SQL to document without being coupled to only one way, the interface is pretty clean and have brilliant documentation, it's easy to use and easy to implement, and for the developers is a really good "framework" like to manage and scale data in daily basis, the integration of IRIS with another frameworks or languages is great, in the latest versions they add the python support and its open the opportunities to even make and run AI models on IRIS platform
the additional components like FHIR and HL7 make it really useful for some of missions and play nice Togher without make you go crazy, it's really flexible system and you can choice to store data in all sorts of ways, from SQL to document without being coupled to only one way, the interface is pretty clean and have brilliant documentation, it's easy to use and easy to implement, and for the developers is a really good "framework" like to manage and scale data in daily basis, the integration of IRIS with another frameworks or languages is great, in the latest versions they add the python support and its open the opportunities to even make and run AI models on IRIS platform
What do you dislike about the product?
first things first, the main languages, is not comfortable like a traditionally languages, like Object Script is not something you found as Java or Python in the developers community, but its nice language, had a lot of "cool" ways to do stuff, the documentation is huge and good source for data but it's really easy to get lost in it, IRIS is NOT cheap at all, its serous platform with a price tag to match, and the hardware you need to manage to perform it like it's should is not an affordable one
What problems is the product solving and how is that benefiting you?
Let's keep it simple, we worked on the financial area of the company, to manage an records of all of our clients and all of our database, all the transactions as a growing business with a millions of invoices and transactions and make it really fast to manage is really crazy, like building a dashboard from our simplest data can take it to load a one-hour or two in tadeonal db. but in cache and IRIS its can take 20 seconds, so as a backend for our services its really helping out to be there when the client needed us, like fast analyzing sells, fast dashboards, fast transactions between screens, it's not simple when it's come up to millions of records is not a simple business task.
Harshitha B.
Bridging Systems with InterSystems IRIS
Reviewed on Aug 10, 2025
Review provided by G2
What do you like best about the product?
What I really like about InterSystems IRIS is how fast and reliable it is. It can handle huge amounts of data and transactions without slowing down. I also love that it’s flexible; you can use SQL, NoSQL, object storage, or even work directly with its unique “globals” all in the same system. The built-in tools for connecting different systems (like HL7 and FHIR in healthcare) are a big win, and having analytics built right in means you can get insights from your data without a lot of extra work. As a developer, I appreciate that I can use different programming languages, ObjectScript, Python, or Java or even mix them depending on what the job needs. And above all, it’s dependable, which is essential for systems that can’t afford downtime.
It is very simple to use and administratively friendly.
The customer support is great often responded within a day.
Based on my frequency of use, it is very reliable and developer-friendly.
It is very simple to use and administratively friendly.
The customer support is great often responded within a day.
Based on my frequency of use, it is very reliable and developer-friendly.
What do you dislike about the product?
The main challenge with IRIS is that it takes some time to learn, especially if you’ve never worked with ObjectScript or globals before. Some of the older tools for managing and developing on it feel a bit outdated compared to newer software environments. The licensing can be a bit complicated and may be pricey for smaller projects or startups. The community is helpful but smaller than big open-source platforms, so finding certain answers can take longer. And while the documentation covers a lot, some advanced features could use simpler, real-world examples to make them easier to pick up.
The ease of implementation and Documentation for certain integration scenarios can be complex for beginners
The ease of implementation and Documentation for certain integration scenarios can be complex for beginners
What problems is the product solving and how is that benefiting you?
It is solving the maintainance or building a complex database structure and also helping with its robust ability
Andre D.
Quality summarized with InterSystems IRIS
Reviewed on Jul 30, 2025
Review provided by G2
What do you like best about the product?
The ease of seeing the messages and understanding the entire flow
What do you dislike about the product?
The connections on the portal, when clicking on a class, should show the entire flow, not just those that connect with that class.
What problems is the product solving and how is that benefiting you?
Understand the flow of the projects and identify where there are bottlenecks and problems
Guilherme T.
InterSystems IRIS: Powerful, but with barriers to adoption and learning
Reviewed on Jul 24, 2025
Review provided by G2
What do you like best about the product?
I really like the various functions when doing the SELECT, I think it's great how the SELECTS work in the cache, so that when you make a query, the next query is much faster. I also like having an interface for creating namespaces and dealing with various things in IRIS.
What do you dislike about the product?
I don't like that knowledge about IRIS is so little disseminated; there is a lack of community, so there are problems for which we can easily find answers on the internet, and the IRIS documentation is quite poor compared to other technologies like Laravel, for example, which provides various examples and ways to use it. The IntelliSense also doesn't work very well because it doesn't give suggestions on what to use and explanatory suggestions on how to use it.
What problems is the product solving and how is that benefiting you?
The biggest problem that IRIS solves today, as I see it, is the enormous capacity to work with a large volume of data.