A multi-model database is designed to support multiple data models against a single, integrated backend. Document, graph, relational, and key-value models are examples of data models that may be supported by a multi-model database.
QEWD is assumed by most people to only integrate with IRIS (or Cache) via a connection through IRIS's high-performance C interface. This requires QEWD (and its Node.js environment) to be installed and configured on the same machine as IRIS.
I'm frequently asked if QEWD can run on a separate server (or servers), and access IRIS (or Cache) over a network connection. The answer is yes it can, but the information on how to set it up in this way has been admittedly a bit tricky to discover.
Join our live webinar with Mike Leone, senior analyst with Enterprise Strategy Group’s Validation Services, to learn about a speed test that measures and compares the concurrent real-time data ingest and query performance of InterSystems IRIS® data platform, a leading in-memory database, a cloud relational database, and a traditional relational database.
I logged into the demo IRIS again, and for some reason, today, I had an "Classpath is incomplete" warning message. The classpath is defined under quickstarts-multimodel-java. Here is the contents of the file :
I wanted to share each of the first three episodes of our new Data Points podcast with the community here — we previously posted announcements for episodes on IntegratedML and Kubernetes — so here is our episode on InterSystems IRIS as a whole! It was great talking with @Jenny Ames about what sets IRIS apart, some of the best use cases she's seen in her years as a trainer in the field and then as an online content developer, and more. Check it out, and make sure to subscribe at the link above — Episode 4 will be released next week!
The Learning Services Online Learning team has posted new videos to help you learn the benefits of InterSystems IRIS. Take a peek to see what you stand to gain from making the switch to InterSystems IRIS!