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.

InterSystems IRIS Cloud SQL is a fully managed cloud service that brings the power of InterSystems IRIS relational database capabilities used by thousands of enterprise customers to a broad audience of application developers and data professionals. InterSystems IRIS Cloud IntegratedML is an option to this database-as-a-service that offers easy access to powerful Automated Machine Learning capabilities in a SQL-native form, through a set of simple SQL commands that can easily be embedded in application code to augment them with ML models that run close to the data.

Today, we announce the Developer Access Program for these two offerings. Application developers can now self-register for the service, create deployments and start building composable applications and smart data services, with all provisioning, configuration and administration taken care of by the service.

With InterSystems IRIS 2022.2, we introduced Columnar Storage as a new option for persisting your IRIS SQL tables that can boost your analytical queries by an order of magnitude. The capability is marked as experimental in 2022.2 and 2022.3, but will "graduate" to a fully supported production capability in the upcoming 2023.1 release.

The product documentation and this introductory video, already describe the differences between row storage, still the default on IRIS and used throughout our customer base, and columnar table storage and provide high-level guidance on choosing the appropriate storage layout for your use case. In this article, we'll elaborate on this subject and share some recommendations based on industry-practice modelling principles, internal testing, and feedback from Early Access Program participants.

With IRIS 2021.1, we released a significant revision our SQL utilities API at %SYSTEM.SQL. Yes, that's a while ago now, but last week a customer asked a few questions about this and then @Tom Woodfin applied gentle mental pressure ;-) to make me describe the rationale of these changes in a little more detail on the Developer Community. So here we go!

This is the third article in our short series around innovations in IRIS SQL that deliver a more adaptive, high-performance experience for analysts and applications querying relational data on IRIS. It may be the last article in this series for 2021.2, but we have several more enhancements lined up in this area. In this article, we'll dig a little deeper into additional table statistics we're starting to gather in this release: Histograms

The 2021.2 release of the InterSystems IRIS Data Platform includes many exciting new features for fast, flexible and secure development of your mission-critical applications. Embedded Python definitely takes the limelight (and for good reason!), but in SQL we've also made a massive step forward towards a more adaptive engine that gathers detailed statistical information about your table data and exploits it to deliver the best query plans. In this brief series of articles, we'll take a closer at three elements that are new in 2021.2 and work together towards this goal, starting with Run Time Plan Choice.

It's hard to figure out the right order to talk about these (you can't imagine how often I've reshuffled them in writing this article!) because they fit together in such a nice way. As such, feel free to go on a limb and read these in random order .

Preview releases are now available for the 2021.1 version of InterSystems IRIS, IRIS for Health and HealthShare Health Connect.

As this is a preview release, we are eager to learn from your experiences with this new release ahead of its General Availability release next month. Please share your feedback through the Developer Community so we can build a better product together.

Hi,

I just published isc-mem-config on OpenExchange and ZPM. It's a prototype to test whether this kind of user experience (UX) is a good fit for novice and / or more seasoned users. The settings it generates are already fairly-good-practice :-), but also being reviewed by experts within InterSystems in parallel.

The first full release of our iKnow open-source NLP library is now available on GitHub and PyPI!