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Ovum » Big Data Storage in Hadoop

Big Data Storage in Hadoop

04th February 2013

  • Tony Baer
  • Principal Analyst
  • Information Management


Commercial storage and file system providers have discovered the Hadoop market and are rapidly introducing alternatives to HDFS.

File system and storage subsystem vendors today lack the data (e.g., benchmarks, TCO studies) to quantify the advantage of their products over HDFS; external storage providers have the added burden of proving that network traffic will not bottleneck Hadoop processing.

Because Big Data analytics is a moving target, the Hadoop platform may have to accommodate features currently offered by more mature file and storage systems, such as support of snapshots, if it is to become accepted as an enterprise analytics platform.

Features and Benefits

  • Assesses enterprise storage system alternatives to HDFS.
  • Discusses the key technical questions surrounding these alternatives.
  • Recommends the next steps for both enterprises and vendors.

Key Questions Answered

  • Are alternatives to HDFS cost-effective?
  • Are alternatives to HDFS technically proven?

For more information about this research piece, please contact us.