Users report that Hbase excels in data replication with a score of 8.1, which is crucial for maintaining data integrity across distributed systems. In contrast, Azure Cosmos DB's data replication score is lower at 7.2, indicating potential challenges in ensuring data consistency.
Reviewers mention that Azure Cosmos DB shines in scalability, achieving a score of 9.3, which is significantly higher than Hbase's score of 8.7. This makes Azure Cosmos DB a better choice for applications expecting rapid growth and high traffic.
G2 users highlight that Hbase's query optimization is a weak point, scoring only 6.7, while Azure Cosmos DB offers a more robust query language experience with a score of 7.9. This difference can impact the efficiency of data retrieval and manipulation tasks.
Users on G2 appreciate Azure Cosmos DB's security features, particularly its role-based authorization and encryption, which scored 7.7 and 8.0 respectively. Hbase, while having decent security measures, scored lower in these areas, with role-based authorization at 8.1, indicating a less comprehensive security framework.
Reviewers say that Hbase's built-in search functionality is limited, scoring only 7.0, which can hinder users looking for efficient data retrieval options. In contrast, Azure Cosmos DB offers a more advanced search capability, enhancing user experience and data accessibility.
Users report that Azure Cosmos DB's ease of use and setup are standout features, with scores of 8.6 for both, making it more user-friendly compared to Hbase, which scored 7.6 and 7.3 respectively. This can significantly reduce the time and effort required for onboarding and implementation.
Pricing
Entry-Level Pricing
Azure Cosmos DB
No pricing available
Hbase
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Free Trial
Azure Cosmos DB
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Hbase
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Ratings
Meets Requirements
8.5
48
8.2
90
Ease of Use
8.2
48
7.6
90
Ease of Setup
8.0
22
7.3
40
Ease of Admin
7.7
23
7.0
40
Quality of Support
8.2
46
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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