Such an elevated level of cloud management would allow for complex business events and activities to occur in "real-time" at the huge scale demanded of modern business processes. He said TIBCO's goal remains the same as it has been for years, to the bring the right information to the right places at the right times. Only now is that vision nearing fruition, and the combination of SOA and cloud computing will make it happen, he said.
Ranadive also decried data trapped in databases, preferring a pending era of data portability. A global bank, for example, can expect to manage 100 million "events" a month, all of them relating to petabytes of data. Such scale and complexity will require software and hardware that can manage and adapt to keep up with demand and service performance management requirements. Relational databases won't pass muster, he said.
Ranadive's comments followed a slew of announcements by TIBCO today that, when you boil them down, add up to cloud compute-caliber SOA infrastructure in the making. [Disclosure: TIBCO is a sponsor of BriefingsDirect podcasts.]
After speaking with a number of TIBCO executives and customers a few things become clear:
- Portability of data is going to be a very big deal in coming years.
- High-performance, TIBCO-branded hardware appliances will help scale transactions, events processing and publish/subscribe messaging in increasing numbers.
- Look for tighter and more strategic alignment between TIBCO and Microsoft in the coming months.
The visions of cloud computing has especially strong appeal to TIBCO executives, and TIBCO play a significant role in the interactions between various cloud hosting and provider organizations. The Palo Alto, CA-based company is in discussions with notable cloud services providers, executives said. It is also possible that TIBCO could itself enter into the cloud market as an integration services provider.
The company also see growing need for interoperability infrastructure to support the increasing use of enterprise mashups and lightweight data integrations.