Users report that Hbase excels in scalability with a score of 8.7, making it a preferred choice for enterprises needing to handle large volumes of data efficiently. In contrast, Accumulo, while still capable, has a slightly lower scalability score, which may limit its effectiveness for larger applications.
Reviewers mention that Hbase's auto sharding feature, rated at 8.6, significantly enhances its ability to distribute data across multiple nodes, improving performance and availability. Accumulo, however, does not have as robust an auto sharding capability, which can lead to challenges in managing data distribution.
G2 users highlight Hbase's strong data storage method, scoring 8.5, which allows for efficient data management and retrieval. Accumulo's storage capabilities, while functional, do not match the efficiency and user satisfaction reported for Hbase.
Users on G2 indicate that Hbase's quality of support, rated at 7.6, is generally better than Accumulo's 7.1, with many reviewers appreciating the responsiveness and helpfulness of Hbase's support team during critical issues.
Reviewers mention that Hbase's integrated cache feature, with a performance score of 7.0, helps in speeding up data access, which is crucial for real-time applications. Accumulo's performance in this area is less favorable, leading to slower data retrieval times.
Users say that Hbase's role-based authorization system, rated at 7.7, provides a more comprehensive security framework compared to Accumulo's lower score in this area, making Hbase a more secure option for sensitive data management.
Pricing
Entry-Level Pricing
Accumulo
No pricing available
Hbase
No pricing available
Free Trial
Accumulo
No trial information available
Hbase
No trial information available
Ratings
Meets Requirements
8.1
8
8.2
90
Ease of Use
7.5
8
7.6
90
Ease of Setup
Not enough data
7.3
40
Ease of Admin
Not enough data
7.0
40
Quality of Support
7.1
8
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/
Read more
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.