Overview
InterSystems IRIS® is a cloud-based, full-featured data platform being used in high scale, mission critical applications around the world. It is optimized for high throughput applications that must simultaneously process transactions and a range of analytics, including analytic SQL, business rules, and machine learning. It is a complete data platform that provides SQL and NoSQL database management, data and application integration, and a range of analytics capabilities in a single, cloud-based, easy-to-use product, speeding implementations, simplifying maintenance, and eliminating the need to move or copy data to different environments.
InterSystems IRIS provides concurrent transactional and analytic processing capabilities; support for multiple, fully synchronized data models (relational, hierarchical, object, and document); a complete interoperability platform for integrating disparate data silos and applications; and sophisticated analytics capabilities supporting batch and real-time use cases.
InterSystems IRIS also provides an open analytics environment for incorporating advanced analytics developed in external environments into InterSystems IRIS solutions, and provides flexible deployment capabilities to support any combination of cloud and on-premises deployments.
InterSystems IRIS is a single product built from the ground up with a unified architecture to support a wide range of applications and scenarios. Typical use cases include business 360 with business user self-service, customer 360, risk and compliance applications, supply chain visibility, IT/OT convergence, and a range of predictive and prescriptive analytics use cases.
Learn more at www.InterSystems.com/
Highlights
- Optimized for extremely high-performance simultaneous processing of transactional and analytic workloads in a single engine with high resource efficiency.
- Multi-model database engine natively supports relational, document, object, key-value, and multidimensional data types.
- Embedded analytics includes business intelligence, text analytics, and predictive modeling, with an embedded Python engine and high-performance interfaces to popular analytics platforms and packages.
Details
Pricing
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Please refer to seller's website. https://www.intersystems.com/guarantee/
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Additional details
Usage instructions
Getting Started:
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For instructions for running a container from the InterSystems IRIS image, see https://docs.intersystems.com/irislatest/csp/docbook/Doc.View.cls?KEY=ACLOUD
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After connecting to the AWS instance, make note of the connection information provided and change the default password with the command "iris password"
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Load the InterSystems IRIS Management Portal in your browser with the provided URL, or start the InterSystems Terminal with "docker exec -it iris terminal <container_name>"
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To connect your IDE to InterSystems IRIS, see https://docs.intersystems.com/irislatest/csp/docbook/Doc.View.cls?KEY=AB_idesetup
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Learn more about InterSystems IRIS at https://gettingstarted.intersystems.com and https://learning.intersystems.com
Resources
Vendor 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 and activities. Organizations can find the full InterSystems IRIS documentation online and when you need to solve an unexpected issues, the Worldwide Response Centre (WRC) is staffed with professional engineers skilled in application development.
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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Customer reviews
Amazing Interoperability Tool
IRIS - A powerful solution
Flexibility and Scalability: IRIS supports a variety of data models such as relational data, documents, and graphics. This provides greater flexibility to shape the data according to the specific needs of the application. Furthermore, the system is highly scalable and can handle increasing workloads without compromising performance.
Integration and Interoperability: Intersystems IRIS is a robust integration platform, enabling easy data exchange between heterogeneous systems. It supports a variety of integration standards such as HL7, JSON, SOAP and REST, making it easy for different systems and applications to communicate.
Learning Curve: For developers who are familiar with other database management systems, there may be an initial learning curve to adapt to the specifics and quirks of IRIS.
Cost: Intersystems IRIS is an enterprise-grade solution and therefore can be more expensive compared to other database options on the market. Costs can increase significantly depending on the size of the deployment and additional resources required.
Hardware Requirements: Due to the focus on high performance, IRIS may have more demanding hardware requirements compared to other database solutions, which can influence infrastructure costs.
Points that improved my work: Interoperability between different systems, data processing performance.
A solution for all your integrations!
IRIS Intersystems Expertise
Intersystems IRIS
* GUI based transformation, filtering and schema pages.
* Lots of premade classes to use, Adapters, inbound/outbound, XML, JSON etc.
* Large community of developers.
* Cache Object Script isn't the most elegent language.
* It can be difficult tp search for specific messages in the TIE.