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5 Alternatives to the Traditional Relational Database

By Wayne Kernochan     Feedback
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    5 Alternatives to the Traditional Relational Database

    5 Alternatives to the Traditional Relational Database

The ongoing popularity of the Hadoop approach to data management should not blind us to the opportunities offered by other database technologies – technologies that, when used in the proper mix, can deliver adequate scaling to meet the demands of the endless 50 percent-plus yearly growth in data to be analyzed, along with higher data quality for better business decisions.  The new(er) technologies basically can be categorized as follows:

  • In-memory databases
  • Hadoop/NoSQL
  • Virtualized or "federated" databases
  • Columnar databases
  • Streaming databases

Let’s consider briefly the pros and cons of each, and where each might fit in an optimized information infrastructure.

Hadoop is a popular way of managing Big Data – but it is not the only one. Here are five alternatives to the relational database that may belong in your optimal information infrastructure.

This article was last updated on October 26, 2015 / This article was originally published on October 16, 2015
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