InterSystems announces the release of InterSystems IRIS Data Platform, a new data platform that promises accelerated app development and deployment. It is expected to be of critical importance for projects involving data-intensive applications, advanced data management, interoperability, transaction processing, and analytics.
"InterSystems IRIS is a Complete Data Platform that gives you everything you need to capture, share, understand, and act upon your organization's most valuable asset – data. As a complete platform, InterSystems IRIS eliminates the need to integrate multiple development technologies. Applications require less code, fewer system resources, and less maintenance", mentions InterSystems.
IRIS stands for Interoperable, Reliable, Intuitive and Scalable – four attributes that InterSystems says are required to capitalize on the growing volumes of data entering organizations every day.
The important feature of the InterSystems IRIS Data Platform is that it provides all of the following capabilities in a single unified platform:
Data Management: An ultra-high performance, horizontally scalable, multi-model database stores and accesses data modeled as objects, schema-free data, relational data, and multi-dimensional arrays in a single, highly efficient representation. It simultaneously processes both transactional and analytic workloads in a single database at very high scale, eliminating latencies between event, insight, and action, and reducing the complexities associated with maintaining multiple databases.
Interoperability: A comprehensive integration platform provide application integration, data coordination, business process orchestration, composite application development, API management, and real-time monitoring and alerting capabilities to support the full spectrum of integration scenarios and requirements.
Analytics: A powerful open analytics platform supports a wide range of analytics, including business intelligence, predictive analytics, distributed big data processing, real-time analytics, and machine learning. It is able to analyze real-time and batch data simultaneously at scale, and developers can embed analytic processing into business processes and transactional applications, enabling sophisticated programmatic decisions based on real-time analyses. The analytics platform also provides natural language processing capabilities to extract meaning and sentiment from unstructured text, allowing organizations to streamline processes that reference customer emails, knowledge databases, social media content, and other unstructured text data.
