And the winner is..... InfoSphere Streams!
IBM has been around for a long time, in fact over 100 years. Throughout the decades, IBM has changed the way we live, work and play. Radically new innovations have transformed our world. For example, IBM’s hierarchical database was invented for the Apollo space missions in the 1960s, and it still drives trillions of transactions at large business and government organizations across the globe.
IBM’s Dr. Ted Codd invented the Relational Database in an IBM Research project called System R (R for Relational). Now, it is a $25 billion-a-year industry. Warehousing extended databases from Online Transaction Processing (OLTP) to Online Analytic Processing (OLAP).
However, in the era of big data, you need even faster analytics. You don’t have time to store the data (Data at Rest) and build out analytics. You must analyze it while it is streaming by (Data in Motion).
Enter InfoSphere Streams. InfoSphere Streams was invented and designed to address the following requirements:
- Respond quickly to events and changing requirements
- Continuous analysis of data at rates vastly greater than existing systems – Think zetabytes
- Adapt rapidly to changing data forms and types
- Manage high availability, heterogeneity, and distribution for the new stream paradigm
- Provide security and information confidentiality for shared information
This can be summarized with two key challenges:
- analyze data in real time
- fuse different kinds of information
For example, facial recognition takes video from street-corner cameras and, when finding a person of interest, fuses that video data with GPS information to alert the closest law enforcement officer.
So, now in 2013, IBM is again demonstrating innovation. IBM is moving technology–from OLTP to OLAP to RTAP–Real-Time Analytic Processing.
Our innovation in this space hasn’t gone unnoticed. Recently, Ventana Research awarded InfoSphere Streams the IT Innovation Award for Operational Intelligence.
What is operational intelligence? Operational intelligence provides visibility and insight into streaming data such as events and business operations. Operational intelligence technology platforms help business leaders make real-time, dynamic decisions when a millisecond response time is required. In today’s world, if there is one thing for certain, it is change. Our business leaders need to be equipped to analyze changing data and new sources of data moving at high speeds.
Some examples of different technologies available in an operational intelligence platform include:
- Real-time monitoring
- Real-time situation detection
- Correlation of events
- Multidimensional analysis
- Time series and trending analysis
- Big data analytics
- Geospatial analysis
- Text analysis
Want to get started with InfoSphere Streams? Try InfoSphere Streams Quick Start Edition. It is no charge, and there are no time limits or data limits, so you can experiment with your own use cases. Learn more about InfoSphere Streams Quick Start Edition here.