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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.