Users report that Hbase excels in its auto sharding capabilities, with a score of 8.6, making it easier to manage large datasets across distributed systems. In contrast, Cassandra's auto sharding feature, while effective, does not receive the same level of praise, indicating room for improvement.
Reviewers mention that Hbase's data replication feature scores 7.2, which is adequate but not exceptional. Cassandra, however, shines in this area with a higher score of 8.9, suggesting that users find it more reliable for maintaining data consistency across nodes.
G2 users highlight Hbase's ease of setup, scoring 7.3, which some find challenging compared to Cassandra's higher score of 8.2. This indicates that users may find Cassandra more user-friendly when it comes to initial deployment.
Users on G2 report that Hbase's security features, particularly role-based authorization, score 7.7, which is seen as a strong point. In contrast, Cassandra's security features, including encryption, receive a lower score of 6.7, suggesting that users may have concerns about its security robustness.
Reviewers say that Hbase's overall stability is rated at 7.9, which is commendable, but Cassandra edges ahead with a score of 8.0, indicating that users may experience fewer disruptions and better performance consistency with Cassandra.
Users report that Hbase's data manipulation capabilities score 7.1, which some find limiting compared to Cassandra's lower score of 6.4. This suggests that users may find Hbase more effective for their data manipulation needs, despite its other limitations.
Pricing
Entry-Level Pricing
Cassandra
No pricing available
Hbase
No pricing available
Free Trial
Cassandra
No trial information available
Hbase
No trial information available
Ratings
Meets Requirements
8.3
29
8.2
90
Ease of Use
7.8
29
7.6
90
Ease of Setup
8.2
18
7.3
40
Ease of Admin
7.9
16
7.0
40
Quality of Support
7.5
24
7.6
82
Has the product been a good partner in doing business?
In HBase, we cannot implement any cross data operations and joining operations, of course, we can implement the joining operations using MapReduce, which would take a lot of time to designing and development. How we can improve this??
1 Comment
GE
Check out Apache Phoenix - https://phoenix.apache.org/
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