While there’s immediate and increasing interest in evolving infrastructure to support distributed, scale-out databases and cloud databases, a lack of robust backup and recovery technologies hinders adoption, according to a new study by research firm Dimensional Research and Datos IO, a provider of data protection software.

The survey of 204 worldwide IT professionals responsible for application and database deployment, operation, management and architecture, looks at the rising demand for distributed applications and adoption of scale-out databases, including MongoDB and Cassandra (Apache and DataStax).

To remain competitive in today’s digital economy, enterprises must meet ever-increasing data demands by building, running and managing modern cloud applications, including customer and security analytics, real-time supply chain management, Internet of Things (IoT) and digital content and advertising, the report says. Such applications require scalable and available databases deployed on premise or in the cloud for adequate agility, speed and scale.

Among the key findings of the survey, 89% of enterprise IT database professionals said backup and recovery (as a function of storage) is critical for production applications. More than three quarters predict next-generation databases will influence organizational growth in the coming 24 months.

More than 80% of enterprise IT and database professionals think deployment of next-generation databases will more than double by 2018. The majority of applications (54%) deployed on next-generation databases are analytics related, with business management, IoT and security applications close behind.

MongoDB and Cassandra lead distributed database deployment, followed by cloud-native databases from Microsoft and Amazon.

“This survey shows IT application and database professionals clearly understand that for organizations to ride this unprecedented tide of data agility, they also need to innovate data storage, specifically for distributed backup and recovery,” said Tarun Thakur, co-founder and CEO, Datos IO.

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