InterSystems IRIS was introduced by InterSystems in 2018 as a comprehensive data platform to address the growing need for integrated database management, interoperability, and analytics capabilities. It was developed to succeed and enhance the functionalities of previous InterSystems products like Caché and Ensemble, offering improved performance for data-intensive applications. The platform was designed to support high-performance transaction processing and real-time analytics, catering to the demands of modern enterprise applications.
InterSystems IRIS
InterSystems IRIS is a data platform that integrates database management, interoperability, and analytics capabilities. It supports high-performance transaction processing and real-time analytics, enabling organizations to build and deploy data-intensive applications quickly. The platform offers multi-model database support, including SQL and NoSQL, and provides tools for data integration, business process automation, and machine learning. It is designed for scalability and can be deployed on-premises or in the cloud.
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Database Technologies
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About InterSystems IRIS
InterSystems IRIS strengths include high performance for transactional and analytical workloads, seamless integration capabilities, and support for multiple data models (SQL, NoSQL). Its weaknesses may involve a steep learning curve for new users and potential complexity in deployment. Competitors include Oracle Database, Microsoft SQL Server, MongoDB, and IBM Db2.
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How to hire a InterSystems IRIS expert
An InterSystems IRIS expert should have proficiency in SQL and NoSQL database management, knowledge of data modeling and schema design, and experience with interoperability and integration technologies. Skills in programming languages such as ObjectScript, Python, or Java are essential, along with familiarity with RESTful APIs and web services. Understanding of cloud deployment and containerization technologies like Docker is also beneficial.
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