InterSystems releases updates to its IRIS data platform
Provider of next-generation solutions InterSystems has announced a series of new releases to its award-winning InterSystems IRIS data platform. The company has also recently announced a string of recent customer wins and a new partnership as it continues to take data fabrics to the next level.
According to Gartner analysts, by 2024, data fabric deployments will quadruple efficiency in data utilisation while cutting human-driven data management tasks in half.
InterSystems says IRIS empowers customers to adopt a microservices-based architecture without the typical issues associated with microservices in data-intensive applications. By adopting a unified data platform, instead of dozens of individual services, customers avoid the challenges of building a data fabric from scratch, including integration time and risk, architecture maintenance, high costs of maintaining multiple overlapping infrastructure services, and the complexity associated with data duplication.
Recent releases of InterSystems IRIS include new capabilities and enhancements that speed and simplify the creation of smart data fabric architectures, including Embedded Python and IntegratedML, and a new facility that lets data analysts and data scientists collaborate easily.
InterSystems says data analysts working on BI can develop measures, dimensions and labels that follow business needs and are immediately usable by data scientists working on AI. Conversely, ML models created by data scientists are directly available to data analysts for use in dashboards, reports, and applications. This functionality connects AI and BI under the hood without needing to move the data, streamlining operations and enabling real-time insights for the business.
The company says further enhancements have also been made to performance and scalability to handle high throughput and high-performance transactional-analytic use cases. There have also been enhancements to adaptive analytics, which provides self-service capabilities, empowering business users to freely explore the data, ask ad hoc questions, and drill down via additional queries based on initial findings.
When embedded into the data fabric, these analytics capabilities put the smart into the next-gen smart data fabric architectural approach, which InterSystems champions. In doing so, InterSystems allows business users and data scientists alike to benefit from a wide range of built-in analytics capabilities, including data exploration, business intelligence, natural language processing, and machine learning.
InterSystems has also announced a partnership with Collibra, a data intelligence platform built for governance, quality, and privacy. The company says the integration between the two platforms allows enterprise customers to take advantage of these extended capabilities on data that resides anywhere in the organisation.
Further, InterSystems has released enhancements to the InterSystems Kubernetes Operator (IKO) to make scale up and managing data-intensive applications in Kubernetes easier.
The company says next week's Gartner Data and Analytics Summit in Florida will see InterSystems take to the stage alongside representatives from Harris Associates to discuss the role of the smart data fabric in delivering real-time data access and prescriptive analytics for financial services.