HBase pros and cons
Let's now briefly discuss HBase pros and cons.
The following are some advantages of HBase:
- Great for analytics in association with Hadoop MapReduce
- It can handle very large volumes of data
- Supports scaling out in coordination with Hadoop file system even on commodity hardware
- Fault tolerance
- License free
- Very flexible on schema design/no fixed schema
- Can be integrated with Hive for SQL-like queries, which is better for DBAs who are more familiar with SQL queries
- Auto-sharding
- Auto failover
- Simple client interface
- Row-level atomicity, that is, the PUT operation will either write or fail
The following are some missing aspects:
- Single point of failure (when only one HMaster is used)
- No transaction support
- JOINs are handled in MapReduce layer ...
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