#InterSystems IRIS

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InterSystems IRIS is a Complete Data Platform
InterSystems IRIS gives you everything you need to capture, share, understand, and act upon your organization’s most valuable asset – your data.
As a complete platform, InterSystems IRIS eliminates the need to integrate multiple development technologies. Applications require less code, fewer system resources, and less maintenance.

Article
· 23 hr ago 26m read
Building a robot with IRIS

In this case, a robot is nothing like Gort from the movie “The Day the Earth Stood Still” or any other humanoid robot from science fiction. Nor is this Robot the one-armed automated welder from a real-world automotive assembly line. This Robot is a program that controls another program. You might want this for automated testing or to capture application logic from an application for which you don’t have the source, and the application’s author lacked the kindness or foresight to provide an API for its capabilities.

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Contestant

#InterSystems Demo Games entry

⏯️ Closing the Scientific Knowledge Gap with AI

For venture capitalists (VCs), evaluating research can be challenging. While researchers typically possess years of training and deep expertise in their field, the VCs tasked with assessing their work often lack domain-specific knowledge. This can lead to incomplete understanding of scientific data and an inability to direct organizational initiatives. To solve this problem, we have designed a solution that empowers VCs with AI-driven due diligence: ResearchExplorer. ResearchExplorer is powered by InterSystems IRIS and GPT-4o to help analyze private biomedical research alongside public sources like PubMed using Retrieval-Augmented Generation (RAG). Users submit natural language queries, and the system returns structured insights, head-to-head research comparisons, and AI-generated summaries. This allows users to bridge expertise gaps while securely protecting proprietary data.

Presenters:
🗣 @Jesse Reffsin, Senior Sales Engineer, InterSystems
🗣 @Lynn Wu, Sales Engineer, InterSystems

https://www.youtube.com/embed/zsV3LhGDP1Q
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I would like to know which are the best practices of using Streams in Interoperability messages.

I have always use %Stream.GlobalCharacter properties to hold a JSON, or a base64 document, when creating messages. This is fine and I can see the content in Visual Trace without doing anything, so I can check what is happening and resolve issues if I have, or reprocess messages if something went wrong, because I have the content.

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While starting with Intersystems IRIS or Cache, developers often encounter three core concepts: Dynamic Objects, Globals & Relational Table. Each has its role in building scalable and maintainable solutions. In this article, we'll walk through practical code examples, highlight best practices, and show how these concepts tie together.

1. Working with Dynamic Objects:

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Recently, I replaced my old laptop with a new one and had to migrate all my data. I was looking for a guide but couldn’t find anything that explained in detail how to migrate server connections from InterSystems Studio and Visual Studio Code from one PC to another. Simply reinstalling the tools is not enough, and migrating all the connections manually seemed like a waste of time. In the end, I managed to solve the problem, and this article explains how.

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I would like to learn about the binary and document reference FHIR Resources. For the PDF data stored in those resources. But I think Binary Resource for the Document PDF stored in FHIR, so this resource is best for it. So sometimes Large PDF 15-page (~35md) data converts into base64 then data length is ~50 lac charecters length of base64binary data. this data store in Binary Resource on data field https://www.hl7.org/fhir/R4/binary.html follow this url this resource used in my case.

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I try the Large data Save in FHIR server in Binary Resource but it's failed

Methed: Post , URL: fhirservers/fhir/r4/Binary

I hit the API but the record not save and same API but base64 data length is 3 lac than it's save without faile.

I pass data on this formet

{

"resourceType" : "Binary",

// from Resource: id, meta, implicitRules, and language

"contentType" : "<code>", // R! MimeType of the binary content

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This article describes a significant enhancement of how InterSystems IRIS deals with table statistics, a crucial element for IRIS SQL processing, in the 2025.2 release. We'll start with a brief refresher on what table statistics are, how they are used, and why we needed this enhancement. Then, we'll dive into the details of the new infrastructure for collecting and saving table statistics, after which we'll zoom in onto what the change means in practice for your applications. We'll end with a few additional notes on patterns enabled by the new model, and look forward to the follow-on phases of this initial delivery.

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I’m pleased to announce the release of tree-sitter-objectscript, a new open-source tree-sitter grammar that brings first-class ObjectScript support to modern editors. If you caught the preview at READY ’25, you’ll be glad to know it’s now up on Github:

https://github.com/intersystems/tree-sitter-objectscript

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This article outlines the process of utilizing the renowned Jaeger solution for tracing InterSystems IRIS applications. Jaeger is an open-source product for tracking and identifying issues, especially in distributed and microservices environments. This tracing backend that emerged at Uber in 2015 was inspired by Google's Dapper and Twitter's OpenZipkin. It later joined the Cloud Native Computing Foundation (CNCF) as an incubating project in 2017, achieving graduated status in 2019. This guide will demonstrate how to operate the containerized Jaeger solution integrated with IRIS.

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The August Article Bounty on the Global Masters article caught my attention, and one of the proposed topics sounded quite interesting in regard to its future use in my teaching. So, here's what I'd like to tell my students about tables in IRIS and how they correlate with the object model.

First of all, InterSystems IRIS boasts a unified data model. This means that when you work with data, you are not locked into a single paradigm. The same data can be accessed and manipulated as a traditional SQL table, as a native object, or even as a multidimensional array (a global). It means that when you create an SQL table, IRIS automatically creates a corresponding object class. When you define an object class, IRIS automatically makes it available as an SQL table. The data itself is stored only once in IRIS's efficient multidimensional storage engine. The SQL engine and the object engine are simply different "lenses" to view and work with the same data.

First, let's look at the correlation between the relational model and the object model:

Relational Object
Table Class
Column Property
Row Object
Primary key Object Identifier

It's not always a 1:1 correlation, as you may have several tables represent one class, for example. But it's a general rule of thumb.

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Over the years, I’ve noticed that certain SQL questions come up repeatedly on the InterSystems Developer Community, especially about using the LIKE predicate in different contexts. Common variations include:

and many more derivatives. So, I decided to write an article that focuses on how LIKE works in InterSystems IRIS SQL, especially when used with variables in Embedded SQL, Dynamic SQL, and Class Queries, while touching on pattern escaping and special character searches.

First of all, I'd like to mention that InterSystems IRIS SQL offers most of the capabilities available in other relational DBMS that implement a later version of the SQL standard. But at the same time, it's important to mention that apart from relational access, in IRIS you can also use other models to get the same data, for example, object or document models.

On this note, let's look at the LIKE predicate and how this tool is used in SQL for pattern matching.

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In recent versions of IRIS, a powerful new data loading command has been introduced to SQL: LOAD DATA. This feature has been highly optimized to import data into IRIS extremely fast, allowing hundreds of gigabytes of data to be inserted in seconds instead of hours or days.

This is a very exciting improvement. However, a big problem in the data loading experience still exists. Namely, the time and hassle it takes to:

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Article
· Aug 15 8m read
Dynamic Entities and %JSON

Dynamic Entities (objects and arrays) in IRIS are incredibly useful in situations where you are having to transform JSON data into an Object Model for storage to the database, such as in REST API endpoints hosted within IRIS. This is because these dynamic objects and arrays can easily serve as a point of conversion from one data structure to the other.

Dynamic Objects

Dynamic Objects are very similar to the standard ObjectScript object model you get when you create a new instance of a class object, but with some key differences:

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Hi everyone,

I am trying to create a treeMapChart in IRIS BI that will then be displayed on my DeepSeeWeb dashboard. In the IRIS BI User Portal, this is an example of what my treeMapChart looks like:

I know there is a huge amount of rectangles in this graphic - I care most about the common components (the largest boxes) but I still want all of the boxes to show. However, it projects to my DeepSeeWeb dashboard as the following:

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