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.
in C++ program with #include iris-callin.h.. The program terminateswhen it tries to execute IRISSECURESTARTA with exit code -1073741515.
const char "user""xyz"
int rc = IRISSECURESTARTA(&pusername, &ppassword, &pexename, termflag, timeout, NULL, NULL);
Note: the %Service_Callin setting is Enabled.
| » |
We are happy to present the bonuses page for the applications submitted to the InterSystems "Full Stack Programming" Contest 2026
See the results below.
1 Introduction
In environments that use InterSystems IRIS, globals are the physical foundation of data storage. Although system queries and administrative tools exist for metric inspection, global growth analysis is usually reactive: the problem is generally only noticed when there is disk pressure or performance impact.
Picture a dark room. The only light comes from a wall of displays and a blinking prompt that politely informs you:
“LINK TO M-U5K-3T: HIGH LATENCY – DIRECT CONTROL DISABLED.”
Perfect.
You are supposed to be a Rover Commander in the Musketeer Corps. Somewhere absurdly far away, you have an autonomous unit parked on a hostile exoplanet. It wants you dead, but it’s also covered in minerals that could fund a small civilization.
The ore on M-U5K-3T is everywhere. Unfortunately, everything else on the surface is actively trying to kill you.
So, we don't pilot. We script.
The facial recognition has become the most popular method for validating people's identities, thus enabling access to systems, confirmation of personal and documentary data, and approval of actions and documents.
The challenges are related to performance when the database is very large, accuracy, and especially the privacy of biometric facial data. For these challenges, nothing is better than using InterSystems Vector Search, as it allows:
In the previous article, we saw in detail about Connectors, that let user upload their file and get it converted into embeddings and store it to IRIS DB. In this article, we'll explore different retrieval options that IRIS AI Studio offers - Semantic Search, Chat, Recommender and Similarity.
I am issuing "iris freeze <instance_name> to freeze the instance. I want confirmation that no IO is going to the database so taht I can take a snapshot.
I am configuring a set of Linux (RHEL 9) servers to operate as an IRIS 2025.1 mirror set. Mirroring traffic is using TLS, so each IRIS server has the necessary TLS configurations. However installation of ISCAgent on the dedicated arbiter host didn't make any mention of TLS or certificates. Nor did I find anything about this when searching IRIS documentation.
Am I missing something? Does the traffic between the IRIS hosts and the arbiter host use TLS? Should I be installing any certs on the arbiter host to facilitate secure communication?
Hi, Community!
Want to try using Flask to expose InterSystems IRIS data over HTTP? This short video will get you started:
Building a REST API in Flask with InterSystems IRIS
👨💻Try it yourself in this hands-on exercise! (exercise, 30m).
Keywords: Vibe coding, Windsurf, IRIS, TIE
Has anyone not been trying "vibe coding" so far?
Even merely 3 years ago, if anyone asked
Inspired by @Ashok Kumar Thangavel's post on the ideas portal here as well as my own wishes for a solution to this problem, I have come up with a simple way to allow more complete and consistent JSON queries without having to specify every desired field. I have created a class that extends the built-in %JSON.Adaptor class and makes its %JSONExportToString and %JSONExportToStream methods accessible through SQL with just a couple of simple SqlProc Methods.
Class DH.JSONAdaptor Extends %JSON.Adaptor [ Abstract ]
{
ClassMethod jsonstring(id, map = "") [ SqlProc ]
{
try{
set myobj = ..%OpenId(id)
set sc = myobj.%JSONExportToString(.json,map)
if $$$ISERR(sc) $$$ThrowStatus(sc)
return json
}
catch ex{
throw ex
}
}
ClassMethod jsonstream(id, map = "") [ SqlProc ]
{
try{
set myobj = ..%OpenId(id)
set sc = myobj.%JSONExportToStream(.json,map)
if $$$ISERR(sc) $$$ThrowStatus(sc)
return json
}
catch ex{
throw ex
}
}
}I created iris-budget app for the InterSystems Full Stack Contest in 2026. By full stack, we mean a frontend web or mobile application that inserts, updates, or deletes data in InterSystems IRIS via REST API, Native API, ODBC/JDBC, or Embedded Python.
My app uses multiple REST APIs to add a new category or retrieve a list of categories of expenses and income.
I inherited /csp/coffee from module.xml in iris-fullstack-template.
For this project, I created a swagger file called "budget.json.
With the release of InterSystems IRIS Cloud SQL, we're getting more frequent questions about how to establish secure connections over JDBC and other driver technologies. While we have nice summary and detailed documentation on the driver technologies themselves, our documentation does not go as far to describe individual client tools, such as our personal favourite DBeaver. In this article, we'll describe the steps to create a secure connection from DBeaver to your Cloud SQL deployment.
Hi Community,
In this article, I will introduce my application iris-CliniNote .
CliniNote is a full-featured clinical notes application that combines classic CRUD operations with **real-time AI-assisted notes matching** powered by **InterSystems IRIS native vector search**. The standout feature: while a doctor is writing or editing a clinical note, a side panel shows the **top 5 most similar notes** based on the semantic content of the note being written — **excluding the current patient** to avoid trivial matches. This gives clinicians immediate access to "patients like this one" — helping with differential diagnosis, treatment pattern recognition, and rare presentation detection.
https://irisclininote.sandbox.developer.intersystems.com/csp/clininote/login.html
Keywords: IRIS, Agents, Agentic AI, Smart Apps
Transformer based LLMs appear to be a pretty good "universal logical–symbolic abstractor". They started to bridge up the previous abyss among human languages and machine languages, which in essence are all logic symbols that could be mapped into the same vector space.
Wondering for 3 years we might be able to just use English (etc human natural languages) to do IRIS implementations as well, one day.
This is a step-by-step instruction guide for creating a task to collect data about the InterSystems database and globals therein (as seen in the associated Open Exchange App - find all the associated code there)
UPDATE (Aug 1 2024): Recently I've been asked about the differences between this and the History Monitor functionality. In short, the data collection monitor builds on the history monitor by adding the ability to track growth of individual globals.
Disclaimer: This software is merely for TEST/DEMO purposes.
In the modern healthcare landscape, finding clinically similar patients often feels like looking for a needle in a haystack. Traditional keyword searches often fail because medical language is highly nuanced; a search for "Heart Failure" might miss a record containing "Congestive Cardiac Failure."
I am excited to share iris-medmatch, an AI-powered patient matching engine built on InterSystems IRIS for Health. By leveraging Vector Search, this tool understands clinical intent rather than just matching literal strings.
You’ve seen how tools like Lovable are shaking up web development. People are spinning up entire apps just by talking to an AI, almost like pair‑programming on steroids.
Now imagine bringing that same “vibe coding” experience into healthcare. know, it sounds crazy. Healthcare is complex, full of regulations, and usually gives us a headache just thinking about the interoperability rules.
That’s exactly the space where withLove lives: an AI‑Native, Low‑Code platform built entirely on InterSystems IRIS for Health.
InterSystems IRIS allows you to build REST APIs using ObjectScript classes and the %CSP.REST framework. This enables the development of modern services to expose data for web apps, mobile apps, or system integrations.
In this article, you'll learn how to create a basic REST API in InterSystems IRIS, including:
GET and POST methodsA full demonstration using Docker
I need to reproduce a table (in fact a view, but let's start with a simple table 😊) in IRIS as the currently used in Oracle.
I need to expose/project one column to JDBC as CLOB, in my class I have the corresponding property defined as:
Property GlobStream As %Stream.GlobalCharacter;
In JDBC this column is projected as LONGVARCHAR, this is compliant with the documentation but I need to project it as CLOB.
In addition, I'm no expert in JDBC but wit seems that LONGVARCHAR has a Maximum Length 32,700 characters in JDBC, not quite enough for an arbitrary stream.
using intersystemsdc/iris-ml-community:latest I failed with
Error: Invalid Community Edition license, may have exceeded core limit.
Shutting down the system : $zu(56,2)= 0Starting IRIS
What is the actual valid version with ML ??
There are always those who say that their child looks more like their mother or their father. How about using math and Artificial Intelligence to be sure? The facial-matching application can answer you.
See these results:
I have a persistent class (GetOrgUpdatesResponse) that has a property which is a list of another persistent class (Organization).
What would be the best way to cascade deletes so that on deletion of a parent row each object in the list property is then also deleted?
I have included a sample of my classes here for clarity
ClassExtends%PersistentAsWhere Organization is defined as the following class
AsHello everyone,
I’m looking to implement Continuous Training (CT) as part of an MLOps strategy for some data science projects in IRIS. I want to automate the full cycle:
- Monitoring model performance & accuracy degradation.
- Retraining models automatically.
- Validating and updating production models.
I’ve looked into IntegratedML, but it seems more focused on the SQL interface for training (AutoML). Even with the new Custom Models (beta), which allows for more flexibility with Python, it doesn't seem to provide the "Continuous" orchestration out of the box.
I’d like to know:
Hi developers!
Observing the avalanche of AI-driven and vibe-coding developer tools that have been appearing lately almost every month with more and more exciting dev features, I was puzzled whether it is possible to leverage it with InterSystems IRIS. At least to build a frontend. And the answer - yes! At least with the approach I followed.
Here is my recipe to prompt the UI vs InterSystems IRIS Backend:
Here is the result of my own exercise - a 100% prompted UI vs IRIS REST API that allows to list, create, update delete entries of a persistent class (Open Exchange,frontend source, video):
What is the recipe in detail?
Hi developers. Just want to share with you a finding that might save you a few important minutes of your developer life with InterSystems IRIS.
But!
It should work; you deployed the REST API correctly, and everything is just in place.
What can go wrong?
Have you ever needed to change an IP or port before deploying an interface to production? Needed to remove items from an export? What about modifying the value(s) in a lookup table before deploying? Have you wanted to disable an interface before deploying? What about adding a comment, category, or alert setting to an interface before deploying to production?
If you’ve ever needed to make any changes to an interface or lookup table before deploying to production, then Export Editor
Hi Developers,
We are happy to announce the first InterSystems online programming contest of the year:
🏆 InterSystems Full Stack Contest🏆
Duration: February 2 - March 1, 2026
Prize pool: $12,000
.jpg)
Hi Community,
Enjoy the new video on InterSystems Developers YouTube:
⏯ InterSystems IRIS & IRIS Health as a Managed Service @ Ready 2025