Key features of HBase

The following are a few key features of HBase:

  • Sorted rowkeys: In HBase, data processing is down with three basic operations/APIs: get, put, and scan. All three of these APIs access data using rowkeys to ensure smooth data access. As scans are done over a range of rows, HBase lexicographically orders rows according to their rowkeys. Using these sorted rowkeys, a scan can be defined simply from its start and stop rowkeys. This is extremely powerful to get all relevant data in a single database call. The application developer can design a system to access recent datasets by querying recent rows based on their timestamp as all rows are stored in a table in sorted order based on the latest timestamp.
  • Control data sharding ...

Get Modern Big Data Processing with Hadoop now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.