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Introduction

Businesses often use in-memory databases or key-value stores (caching layers) when applications require extremely high performance. However, in-memory databases incur a high total cost of ownership and have hard scalability limits, incurring reliability problems and restart delays when memory limits are exceeded. In-memory key-value stores share these limitations and introduce architectural complexity and network latency as well.

This article explains why InterSystems IRIS™ data platform is a superior alternative to in-memory databases and key-value stores for highperformance SQL and NoSQL applications.

Taking Performance and Efficiency to the Next Level

InterSystems IRIS is the only persistent database that can match or beat the performance of in-memory databases and caching layers for concurrent data ingestion and analytics processing. It can process incoming transactions, persist the data to disk, and index it for analytics in under one microsecond on commercially available hardware without introducing network latency.

The superior ingest performance of InterSystems IRIS results in part from its multi-dimensional data engine, which allows efficient and compact storage in a rich data structure. Using an efficient, multi-dimensional data model with sparse storage techniques instead of two-dimensional tables, random data access and updates are accomplished with very high performance, fewer resources and less disk capacity. It also provides in-memory, in-process APIs in addition to traditional TCP/IP access APIs to optimize ingest performance.

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Since we reached two important milestones for Go developers working with InterSystems IRIS:

Now it’s time to see everything working together.

To demonstrate how easily Go developers can adopt InterSystems IRIS, I took an existing production-grade open-source project — the RealWorld Example App — which showcases a full-stack Medium.com-style clone implemented with Go Fiber, GORM, and SQLite.

RealWorld Example App

With just a few configuration tweaks, I swapped out SQLite for gorm-iris, keeping everything else unchanged. The result?
A fully functional Go + Fiber application powered by InterSystems IRIS — no code rewrites, no ORM gymnastics, just a different database backend.

You can find the complete working demo here: github.com/caretdev/golang-fiber-iris-realworld-example-app

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Hey Community!

We're happy to share a new video from our InterSystems Developers YouTube:

Building $ZF Modules in Rust with RZF @ Ready 2025

https://www.youtube.com/embed/ZCxVle93VpQ
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The ObjectScript language has incredible JSON support through classes like %DynamicObject and %JSON.Adaptor. This support is due to the JSON format's immense popularity over the previous dominance of XML. JSON brought less verbosity to data representation and increased readability for humans who needed to interpret JSON content. To further reduce verbosity and increase readability, the YAML format was created. The very easy-to-read YAML format quickly became the most popular format for representing configurations and parameterizations, due to its readability and minimal verbosity.

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Hi Team,

Can I please check if anyone has built a simple web interface for maintaining custom SQL lookup class.

We have a simple persistent class in HealthShare which is used for storing Pathology test codes. Test codes in this lookup class is used for message filtering and applying additional logic when processing pathology results/orders.

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Can someone help me understand what type of user error (?) is going on here please?

One one system, I write out a group of $c() values and get the expected results:

USER>for i=250:1:260 { write i," ", $c(i),! }
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USER>w $zv
IRIS for Windows (x86-64) 2023.1.4 (Build 580U) Fri Apr 19 2024 11:16:07 EDT
USER>

On another system, I get some unexpected results:

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With the rapid adoption of telemedicine, remote consultations, and digital dictation, healthcare professionals are communicating more through voice than ever before. Patients engaging in virtual conversations generate vast amounts of unstructured audio data, so how can clinicians or administrators search and extract information from hours of voice recordings?

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Technical Documentation — Quarkus IRIS Monitor System

1. Purpose and Scope

This module enables integration between Quarkus-based Java applications and InterSystems IRIS’s native performance monitoring capabilities.
It allows a developer to annotate methods with @PerfmonReport, which triggers IRIS’s ^PERFMON routines automatically around method execution, generating performance reports without manual intervention.

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Hi Community,

I’m trying to execute a directory query in InterSystems IRIS using %SQL.Statement, but encountering an unexpected error.

Details:
The following command confirms that the directory exists:

Set dirPath="\\MYNETWORK_DRIVE\DFS-Shared_Product\GXM"
Write ##class(%File).DirectoryExists(dirPath)

It returns 1, meaning the path is valid and accessible.

However, when I try to execute this SQL query:

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Hey Community!

We’re updating the Developer Community search engine till the end of the year to make it faster and more accurate (we hope 😉).

Only one in three consumers install firmware updates right away - BetaNews

During this period, you may experience occasional slowness or brief interruptions in search performance. If you notice anything unusual or run into issues, please let us know in the comments below - your feedback helps us ensure everything runs smoothly.

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I have a class that extends %CSP.REST which made I deployed using $system.OBJ.MakeClassDeployed. After upgrading IRIS, the web app which uses that class no longer works with an ObjectScript error.

In the past, I fixed that problem by adding a dummy new line or a comment then recompiled that class. For this deployed class, I can't add a new line and recompile the class (the code shows up as locked in Studio). Simply running $system.OBJ.compile() is not fixing the web app issue.

Is there a way to edit a deployed class then recompile it?

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

The Road to AI in Healthcare @ Ready 2025

https://www.youtube.com/embed/Yqhq2JEWeCo
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IKO Helm Status: WFH

Here is an option for your headspace if you are designing an multi-cluster architecture and the Operator is an FTE to the design. You can run the Operator from a central Kubernetes cluster (A), and point it to another Kubernetes cluster (B), so that when the apply an IrisCluster to B the Operator works remotely on A and plans the cluster accordingly on B. This design keeps some resource heat off the actual workload cluster, spares us some serviceaccounts/rbac and gives us only one operator deployment to worry about so we can concentrate on the IRIS workloads.

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The 2025.1.2 and 2024.1.5 maintenance releases of InterSystems IRIS® data platform, InterSystems IRIS® for HealthTM, and HealthShare® Health Connect are now Generally Available (GA). These releases include the fixes for a number of recently issued alerts and advisories, including the following:

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Hi everyone,

I'm dealing with a situation where LOAD DATA operations — especially large batches with data inconsistencies — are consuming a lot of disk space. I've noticed that the same error messages are being repeatedly logged in the %SQL_Diag.Result and %SQL_Diag.Message tables, which is significantly increasing the size of the database.

One idea was to move these diagnostic tables to a separate database with a configured size limit, but before going down that path, I'd like to ask:

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