Users report that Hbase excels in its auto sharding capabilities, with a score of 8.6, making it a preferred choice for those needing efficient data distribution. In contrast, Apache Kudu's auto sharding scored only 4.7, indicating a significant area for improvement.
Reviewers mention that Hbase offers a robust data model with a score of 8.1, which supports a variety of data types effectively. However, users on G2 note that Apache Kudu, while scoring slightly higher at 8.7, struggles with certain data types, scoring only 6.3 in that area.
G2 users highlight that Hbase has a solid performance in data replication, scoring 7.2, which is crucial for maintaining data integrity. Conversely, Apache Kudu received a higher score of 7.7, indicating better performance in this aspect, as users appreciate its reliability in data recovery.
Users say that Hbase's ease of setup is rated at 7.3, which some find challenging compared to Apache Kudu's impressive score of 8.7. Reviewers mention that Kudu's setup process is more straightforward, making it more accessible for new users.
Reviewers mention that Hbase's role-based authorization feature scores 7.7, providing a good level of security for users. In contrast, Apache Kudu's security features, particularly in this area, scored lower at 6.3, leading users to express concerns about its security robustness.
Users report that Hbase shines in its overall product direction with a positive score of 8.2, indicating a strong commitment to future development. In comparison, Apache Kudu's product direction score of 6.1 suggests that users are less confident in its future enhancements.
Pricing
Entry-Level Pricing
Apache Kudu
No pricing available
Hbase
No pricing available
Free Trial
Apache Kudu
No trial information available
Hbase
No trial information available
Ratings
Meets Requirements
8.1
9
8.2
90
Ease of Use
7.8
9
7.6
90
Ease of Setup
8.7
5
7.3
40
Ease of Admin
Not enough data
7.0
40
Quality of Support
7.5
10
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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