| Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
|---|---|---|---|---|---|---|
![]() isc-cloud-jdbc-sql-shellA simple way to connect, explore, and debug InterSytems Cloud Services over JDBC with sqlline | Docker | 0.0 (0) | 24 Nov, 2025 | |||
![]() iris-cloudsql-exporterPull Observability Metrics from your Cloud Based IRIS Cloud SQL Deployment | Docker Python | 0.0 (0) | 05 Mar, 2024 | |||
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 | ||||||
![]() StarChatJava-based chat project | A | Docker IPM | 0.0 (0) | 04 Dec, 2023 | ||
flask-irisA quick guide / template to use Flask and IRIS side by side. | H | Python | 0.0 (0) | 06 Oct, 2023 | ||
AI text detectionIs your text generated by AI? | O | Docker Python AI ML ML | 4.7 (3) | 01 Jul, 2023 | ||
Customer churn predictorChecking customer churn with IntegratedML | O | Docker Python ML ML | 5.0 (2) | 28 Apr, 2023 | ||
![]() iris-mlm-explainerCreate, Train, Validate, Predict and Explore ML models | Python | 5.0 (1) | 22 Apr, 2023 | |||
![]() Sheep’s GalaxyExample of using InterSystems IRIS Cloud SQL and IntegratedML | M | Docker Python ML ML | 2.0 (1) | 21 Apr, 2023 | ||
isc-cloud-sql-python-demoA simple python and flask app with IRIS Cloud SQL on back | Python | 5.0 (1) | 23 Mar, 2023 | |||