Users report that Hbase excels in its auto sharding capabilities, scoring 8.6, which allows for efficient data distribution across nodes, while Apache Parquet's auto sharding is rated lower at 7.4, indicating potential challenges in scaling under heavy loads.
Reviewers mention that Apache Parquet shines in data types support, achieving a score of 8.8, which is significantly higher than Hbase's 7.2. This makes Parquet a better choice for users needing to handle diverse data formats effectively.
G2 users highlight that Hbase's integrated cache feature, rated at 7.0, may not meet the performance expectations for high-speed data access, whereas Apache Parquet's integrated cache is rated at 8.6, suggesting superior performance in data retrieval.
Users on G2 emphasize that Apache Parquet offers robust auto recovery features with a score of 8.2, which is a critical advantage over Hbase's lower score of 6.1, indicating that Parquet may provide better data resilience in case of failures.
Reviewers say that Hbase's role-based authorization is rated at 7.7, which may not be as comprehensive as Apache Parquet's 9.0, suggesting that Parquet provides stronger security measures for managing user access and permissions.
Users report that while Hbase has a solid overall rating for stability at 7.9, Apache Parquet stands out with a remarkable score of 9.7, indicating that Parquet is perceived as a more reliable option for production environments.
Pricing
Entry-Level Pricing
Apache Parquet
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Hbase
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Free Trial
Apache Parquet
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Hbase
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Ratings
Meets Requirements
8.5
21
8.2
90
Ease of Use
7.7
22
7.6
90
Ease of Setup
7.2
9
7.3
40
Ease of Admin
7.6
9
7.0
40
Quality of Support
8.1
19
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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