When assessing the two solutions, reviewers found Hbase easier to use, set up, and administer. Reviewers also preferred doing business with Hbase overall.
It's open source, free, fast and the basic stack is quick to install and get running. The fact that it is well bundled with ELK (log stash and kibana) make it awesome for aggregating and searching logs. it also works really well as a cache for...
Configuration is difficult to get right because of a lack of proper documentation.
1. Highly Scalable. 2. Out of the box load balancing. 3. Doing short RangeScans 4. Support for Coprocessors(Server side UDF's) 5. Strong Consistency. 6. Rich set of Filters. 7. Support for storing historical data. 8. Deep Intergration with Hadoop...
Less documentation makes it difficult to debug
It's open source, free, fast and the basic stack is quick to install and get running. The fact that it is well bundled with ELK (log stash and kibana) make it awesome for aggregating and searching logs. it also works really well as a cache for...
1. Highly Scalable. 2. Out of the box load balancing. 3. Doing short RangeScans 4. Support for Coprocessors(Server side UDF's) 5. Strong Consistency. 6. Rich set of Filters. 7. Support for storing historical data. 8. Deep Intergration with Hadoop...
Configuration is difficult to get right because of a lack of proper documentation.
Less documentation makes it difficult to debug