InterSystems IRIS Data Platform: A Unified, Efficient Data Platform for Fast Business Insight
This ESG Lab Review documents our audit of InterSystems IRIS Data Platform performance testing. Tests were executed in a proof of concept environment, with comparisons to three common databases. Testing focused on performance of common queries run in the financial services industry.
Transactional databases are essential to many revenue-driving business processes, and data analytics can improve competitive advantage. But organizations often struggle to fit the traditional RDBMS model to the types of data they have and knowledge they seek. NoSQL and NewSQL databases offer valuable features, but using multiple databases means building out different infrastructures, each with performance, scalability, and flexibility needs. In addition, organizations are always looking to increase performance to speed business insight; in-memory databases provide speed, but become challenging with large amounts of data. All these demands drive up costs. It is no surprise, then, that when ESG asked IT decision makers about database challenges, 48% of respondent organizations cited managing database size and growth, 35% cited meeting database performance requirements, and 34% cited supporting cloud-based databases.
Most organizations end up using multiple databases, adding infrastructure and staffing costs. If organizations can reduce the footprint required to handle all their database needs—transactional and analytics workloads, including real-time, historical, natural language processing, and business intelligence—they can save money. But they must be able to deliver high performance, along with data durability, scalability, and management ease.