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.
4.6
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/
Details
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
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 |
Dimensions summary
You pay based on what you use, not a fixed subscription. Three metering dimensions combine to form your bill. You are charged per vCPU deployed each hour, which scales with the compute size you select. You pay separately for allocated storage, billed hourly in 10 GB chunks, so storage costs rise as you add capacity. If you enable the IntegratedML feature, you pay an added per-vCPU hourly charge on top of your compute. The IntegratedML charge applies only when that feature is included in your deployment. Compute, storage, and the optional feature scale independently.
Top-of-mind questions for buyers
A vCPU is one virtual processor in the compute size you select for your managed database. You are billed for each vCPU deployed, each hour it runs. As you choose a compute size with more vCPUs, your hourly compute charge rises in step with that count.
All three meter independently and add together each hour. vCPU charges scale with compute size. Storage charges scale in 10 GB chunks. IntegratedML adds a per-vCPU hourly charge only when that feature is enabled. Compute and storage usually drive most of the bill; IntegratedML applies on top.
The IntegratedML charge applies per vCPU per hour whenever the feature is included in your deployment, not per prediction. If your deployment does not include IntegratedML, no such charge appears. IntegratedML lets you define and run predictive models directly from SQL without separate machine learning expertise.
docs.intersystems.com
Helpful?
Vendor refund policy
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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.
Updated weekly
By InterSystems
By SingleStore
Top
100
In Databases
Top
10
In Managed Services
Top
10
In Analytic Platforms, Databases & Analytics Platforms, Databases
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Relational Database Management
Enterprise-class relational database capabilities with advanced database management and SQL query execution on managed cloud infrastructure
Automated Machine Learning
SQL-integrated machine learning model building, tuning, and execution with automated feature engineering without requiring data movement to separate environments
High Performance Data Processing
Optimized performance for data ingestion, processing, and SQL query execution with low latency at scale
Database Connectivity
Support for multiple database connectivity protocols including JDBC, ODBC, DB-API, and ADO.NET drivers for client application integration
Security and Data Protection
Automated security implementation, data encryption, and backup capabilities for managed cloud database service
Mixed Workload Support
Support for mixed transactional and analytical workloads in a single database platform
Automated High Availability
Automated Multi-AZ replication and failover mechanisms to ensure continuous availability and minimize disruption impact
Automated Administrative Tasks
Automation of provisioning, backup/restore, and software patching operations
Security and Compliance
Hyper-secure deployment with support for compliance standards including HIPAA and FedRAMP, integrated with AWS Key Management Service and AWS Identity and Access Management
AWS Service Integration
Native integration with AWS services including AWS Key Management Service, AWS Identity and Access Management, Amazon CloudWatch, AWS Database Migration Service, and Amazon S3
Distributed SQL Database Architecture
Fully managed, distributed SQL database with lock-free cloud-native architecture designed for transactional (OLTP) and analytical (OLAP) workloads in a single engine
High-Throughput Data Ingestion
Parallel, distributed lock-free ingestion capable of processing millions of events per second with real-time query processing on billions of rows
Vector Search Capabilities
Indexed vector search with full-text search capabilities optimized for generative AI applications and semantic search operations
Concurrent User Scalability
Cloud-native elastic scale-out architecture supporting tens or hundreds of thousands of concurrent users with super-low latency query performance
Unified Workload Processing
Single engine capability to power high-performance transactional, analytical, and vector workloads simultaneously without requiring data movement between systems
Standard contract
No
No
No
Customer reviews
Eric B.
Powerful All-in-One platform, worth the learning curve
Reviewed on Sep 01, 2026
Review provided by G2
What do you like best about the product?
The things I liked the most are the performance, having the multidimensional engine is really fast to read and write even with high data volume and it gets really impressive when compared with relational databases. Also, I'd like to say that it is really multimodel, so you are able to access the same data with SQL, as an object, or using the Globals. For the last thing, the interoperability module is very mature and there's a lot of features ready-made.
What do you dislike about the product?
There are some things about IRIS that bother me a little bit, the small community, when you compare it with other technologies, is very niche. I asked about IRIS to a lot of people and they don't know what it is. Because of that, it is harder to solve very specific problems, sometimes you will have only the answer at old forums. The job market is very limited, it is hard to find someone who has experience with IRIS, and to hire someone and train them takes time. The licensing cost is not very accessible, so only big companies can afford it.
What problems is the product solving and how is that benefiting you?
The built-in interoperability engine has been very important to reduce development time on integration projects. I can use pre-built adapters and visual pipelines to route and transform messages. What took me weeks now takes days.
Computer Software
High performance, seamless integration, and excellent support
Reviewed on Aug 21, 2026
Review provided by G2
What do you like best about the product?
I admire the response speed, especially when dealing with huge volumes of data; it is perfect for integrations and offers excellent assistance and support. Yes, since I started, I’ve more than doubled my profits using InterSystems IRIS!!
What do you dislike about the product?
Migrating from modern systems to learn ObjectScript is a bit of a hassle and requires more time.
What problems is the product solving and how is that benefiting you?
IRIS has a massive focus on the healthcare sector and comes with built-in support for global protocols such as HL7 and FHIR
Aziz C.
Iris’ Data Persistence Is a Game-Changer
Reviewed on Aug 20, 2026
Review provided by G2
What do you like best about the product?
I think IRIS is a really good product overall, even though it can feel a bit complex at times. What I appreciate the most is the data persistence, which has been especially valuable for my use case. It gives me confidence that the data I need will be there when I need it.
The IRIS portal interface is intuitive up to a point and generally easy to navigate. It took some time to get familiar with certain parts of the platform, but once you understand how things are organized, it becomes much easier to work with.
I also really like how straightforward it is to work with integrations. Setting them up and managing them has been a good experience so far, and I haven't had many issues in that area. The overall performance is another strong point for me. The platform feels reliable and performs well during day to day use.
Overall, I think IRIS is a solid product with a good combination of functionality, performance, and reliability. There is definitely a learning curve in some areas, but once you get used to the platform, it becomes much easier to use and provides a lot of value.
The IRIS portal interface is intuitive up to a point and generally easy to navigate. It took some time to get familiar with certain parts of the platform, but once you understand how things are organized, it becomes much easier to work with.
I also really like how straightforward it is to work with integrations. Setting them up and managing them has been a good experience so far, and I haven't had many issues in that area. The overall performance is another strong point for me. The platform feels reliable and performs well during day to day use.
Overall, I think IRIS is a solid product with a good combination of functionality, performance, and reliability. There is definitely a learning curve in some areas, but once you get used to the platform, it becomes much easier to use and provides a lot of value.
What do you dislike about the product?
One of the main challenges for me has been getting answers to questions or finding solutions when something goes wrong. Since IRIS isn’t as widely known or used as some other technologies, it can sometimes be difficult to find relevant information, examples, or people who have faced the same issue before.
The licensing cost can also be a concern, especially for companies that are considering adopting the technology or expanding its use. It can make it harder to justify the investment compared to more widely used alternatives.
That said, I think InterSystems’ AI could make a big difference here. Having AI support built around the platform could make it easier to find answers, understand how things work, and solve problems without having to rely as much on external resources. I think this could significantly reduce the learning curve and make IRIS more approachable for new users.
The licensing cost can also be a concern, especially for companies that are considering adopting the technology or expanding its use. It can make it harder to justify the investment compared to more widely used alternatives.
That said, I think InterSystems’ AI could make a big difference here. Having AI support built around the platform could make it easier to find answers, understand how things work, and solve problems without having to rely as much on external resources. I think this could significantly reduce the learning curve and make IRIS more approachable for new users.
What problems is the product solving and how is that benefiting you?
Please improve the documentation. The current version can be quite confusing and sometimes makes it difficult to understand how certain features work or how to solve a specific problem. It would be really helpful to have clearer explanations, more practical examples, and better organized information. Improving the documentation would make it much easier for new users to get started and for existing users to find answers when they need them.
Benjamin Z.
Robust and High-Performance ERP Platform
Reviewed on Feb 01, 2026
Review provided by G2
What do you like best about the product?
I like that InterSystems IRIS is particularly well-suited for ERP applications requiring reliability, performance, and data consistency. The platform's flexibility facilitates integrations, especially with nginx as a web server and HAProxy as a reverse proxy. Additionally, the initial setup is easy, and the product's security hardening is facilitated by the online documentation.
What do you dislike about the product?
The areas for improvement mainly involve integrations with other platforms.
What problems is the product solving and how is that benefiting you?
We use InterSystems IRIS to manage complex transactional data, develop robust business logic, and expose high-performance APIs, while being well-suited for ERP applications requiring reliability, performance, and data consistency.
Stav B.
Essential Platform with Stellar Support, Steep Learning Curve
Reviewed on Jan 29, 2026
Review provided by G2
What do you like best about the product?
I really appreciate the Worldwide Response Center (WRC) provided by InterSystems IRIS. Their support team is incredibly responsive and knowledgeable, answering every question with great expertise. It feels like having an extension of our own team. The WRC is a game changer, especially in sectors like finance and automotive where downtime isn't an option. I value that we can set the priority of the ticket and, in crisis situations, they provide immediate access to engineers who truly solve the problem.
What do you dislike about the product?
The learning curve can be steep, especially for newer features or complex cloud configurations. While the documentation is extensive, it can sometimes be difficult to find specific examples for advanced scenarios.
What problems is the product solving and how is that benefiting you?
InterSystems IRIS provides high performance and stability, ensuring data consistency and speed for real-time transaction processing. It eliminates downtime, making our ERP robust and responsive.