| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
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qewd-jsdb-kit-irisThis kit allows you to find out about, explore and try out the unique QEWD-JSdb "persistent JavaScript Objects", made possible by IRIS Globals. For simplicity of use and speed and ease of installation, the kit is designed for use with the IRIS Community Edition Docker Container: you can be up and running in a matter of a few minutes. However, QEWD-JSdb and the Node.js-based QEWD framework can be easily installed on any IRIS (or Cache) system. Layered on top of QEWD-JSdb's persistent JavaScript objects are several examples of the multi-model capability it provides: Lists, key/object store and XML DOM. The latter is a great example of the persistent Objects concept: it includes XPath query capability, provided by the standard, unmodified Node.js XPath module. This module is designed to work with an in-memory XML DOM, and does not know or care that the DOM object provided by QEWD-JSdb is actually on-disk (in IRIS Globals)! The kit includes tutorials for QEWD-JSdb itself and the three layered database models. You can try out the tutorial examples interactively using the Node.js REPL. Also included are web-based "explorer" applications that allow you to watch the database models in action. Finally, using the QEWD Monitor application's graphical QEWD-JSdb Inspector option, you can explore the underlying hierarchical storage of the IRIS Globals created and maintained in the tutorials and explorer applications. | R | 0.0 (0) | 25 Jan, 2021 | |||
BeI-MultiModelWe've used a IRIS backend that is called via a REST-API from a react frontend application. | i | Docker IPM | 4.0 (3) | 25 Jan, 2021 | ||
InterSystems Ideas Waiting to be ImplementedImplement IRIS connector for Airbyte data integration engineAirbyte is an open-source data integration platform that allows users to sync data from different sources to various destinations. Its architecture is modular and it relies on the use of connectors for each source or destination. Every connector has the task of understanding, extracting, and writing data from or to a specific system. https://airbyte.com/connectors The reasons for implementing a connector to IRIS for Airbyte include: * Real-time Data Movement: If you want to move data in real-time (or near-real-time) from IRIS to other platforms (or vice-versa), a dedicated connector in Airbyte can facilitate that. * Ease of Use: With an Airbyte connector, users can easily set up and manage data integrations without having to write custom code. This is particularly useful for teams without extensive development resources. * Scalability: Airbyte's architecture supports scalable data integration. As your data grows in IRIS or other platforms, Airbyte can handle the increased load. * Customization: Every organization's data needs are unique. With an open-source platform like Airbyte, organizations have the flexibility to customize the IRIS connector as per their specific needs. * Community Support: As more organizations use and contribute to the Airbyte connector ecosystem, the connectors, including the one for IRIS, will benefit from community-driven enhancements, bug fixes, and best practices. In conclusion, implementing a connector to IRIS for Airbyte can significantly simplify and enhance the process of integrating InterSystems IRIS with other data platforms and tools, enabling organizations to gain more value from their data assets. Airbyte offers cloud or self-managed solutions, as well as open-source and enterprise. D 5Votes2Comments | ||||||
iris-multi-model-api-templatea simple demo of InterSystems IRIS multi-model data management via REST API | Docker IPM | 5.0 (1) | 11 Jan, 2021 | |||