Choosing from Hadoop alternatives

Although Hadoop has been very successful for most of the Big Data problems, it is not an optimal choice in many situations. In this recipe, we will introduce a few Hadoop alternatives.

Getting ready

Hadoop has the following drawbacks as a Big Data platform:

  • As an open source software, Hadoop is difficult to configure and manage, mainly due to the instability of the software and lack of properly maintained documentation and technical support
  • Hadoop is not an optimal choice for real-time, responsive Big Data applications
  • Hadoop is not a good fit for large graph datasets

Because of the preceding drawbacks as well as other reasons, such as special data processing requirements, we need to make an alternative choice.


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