A new study from International Data Corporation says a great unmet demand for agile cloud application development, application scalability, broader data collection, extreme transaction processing and streaming data management are creating a need for multiple big data technologies besides Hadoop.

IDC predicts that the dominant big data technology will continue to be Hadoop and its tributaries this year. But at the same time document and table-oriented NoSQL database management systems will begin to gain traction beyond the early adopter phase.

The firm recommends that organizations consider all big data technology tools carefully and develop a strategy for deployment before committing to a data management technology.

"Big data technologies offer great benefits to businesses by enabling them to tap the value inherent in various kinds of data that could never be leveraged before in an affordable way," Carl Olofson, research vice president for database management and data integration software research at IDC, said in a statement. "Anyone investigating big data technology for the enterprise must first identify the type of data to be managed and the problems to be addressed."

The research also offers a methodology and advice to enterprises regarding which of these technologies is appropriate for specific tasks. Emerging technologies — including database management systems firmware and nonvolatile memory — perform the operational data functions needed for developments such as transactional software as a service in the cloud for broader real-time analytics and for analytics that blend various kinds of data, the report says.