Hibernating Rhinos

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Hibernating Rhino is featured in DZone’s latest research guide

Growing Database Trends: NoSQL and Polyglot Persistence

Hibernating Rhino is featured in DZone’s latest research guide, the Guide to Database and Persistence Management. This guide features articles from industry experts, key findings from a survey of over 800 developers, an infographic differentiating between databases, and a solution directory of the leaders in database and persistence management. You can download the free research guide here: http://bit.ly/1BmCMbb

As the amount of data generated grows, companies are facing new and unprecedented data management challenges. It’s estimated that the amount of data we currently have will double every two years -- making these challenges more difficult to overcome. DZone’s Guide to Database and Persistence Management is a valuable handbook for understanding and conquering the challenges posed by modern database usage.

Based on DZone’s survey, performance, scalability and data migration are the biggest challenges related to databases.

DZone’s research guide also reports that 37% of respondents expect that their data management technologies will not be sufficient by next year, and they expect to add a new database product to their software by 2016.

 

NoSQL Databases on the Rise

While SQL databases have dominated the IT industry, experts are suggesting that organizations use a multi-database solution or polyglot persistence approach. This gives your organization more flexibility for organizing various types of data, while allowing you to handle each type of data with a more efficient database.

DZone reports that 30% of respondents’ organizations currently use a polyglot persistence approach with at least one relational database and one non-relational database. They also reported that 80% of respondents used two or more database products in their organization.

Read DZone’s Guide to Database and Persistence Management to navigate the multitude of persistence options, while discussing the challenges of analyzing data in organizations.

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Posted By: Maxim Buriak

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