InterSystems IRIS Data Platform™ includes high-performance and highly reliable database technology used to power applications that help form the foundations of the world’s financial systems.
For example, A global financial services firm uses InterSystems’ database technology in an application that processes 13% of the world’s equity trades.
A global investment bank processed more than a billion transactions in one day of intense market volatility while providing concurrent SQL access to that data for 250 different systems.
Here a just a few of the reasons why our enterprise and software vendor customers are turning to InterSystems IRIS:
- Blazingly fast, concurrent SQL access to multiple data models— object, relational, or multi-dimensional.
- Real-time analytics within applications at the point of action, enabling better decision-making by everyone.
- High availability, scalability, and reliability, with minimal maintenance and hardware requirements.
- Lower total cost of ownership.
InterSystems IRIS Data Platform: A Unified Platform for Powering Real-Time, Data-Intensive Applications
This white paper describes the opportunities and challenges associated with shortening and eliminating the delays between event, insight, and action. It presents a new technology to simplify the development, deployment, and maintenance of real-time, data-rich solutions.Read the White Paper
InterSystems IRIS Data Platform for High-Performance Transaction Management with Analytics
Successful financial services organizations today must be able to simultaneously process transactional and analytic workloads at high scale, processing billions of messages per day while supporting thousands of analytic queries per second from hundreds of applications, without incident.Read the White Paper
Consolidating Risk Management and Regulatory Compliance Applications Using a Unified Data Platform
This white paper describes the business drivers for consolidating risk management and regulatory compliance applications and data. We then discuss strengths and limitations of various technologies — including traditional data warehouses and newer big data technologies.Read the White Paper
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