Users report that Cloudera excels in Hadoop Integration with a score of 9.0, making it a strong choice for organizations heavily invested in Hadoop ecosystems. In contrast, Azure Databricks, while also offering solid integration, scores slightly lower at 8.3.
Reviewers mention that Azure Databricks shines in Real-Time Analytics, achieving a score of 8.8, which is significantly higher than Cloudera's score of 7.0. This makes Azure Databricks a better option for businesses that require immediate data insights.
G2 users highlight the superior Data Querying capabilities of Azure Databricks, with a score of 9.3 compared to Cloudera's 8.3. This indicates that users find Azure Databricks more efficient for complex data queries.
Users on G2 report that Cloudera's Quality of Support is lacking, with a score of 6.9, while Azure Databricks receives a much higher score of 8.4. This suggests that users may have a better experience with support when using Azure Databricks.
Reviewers mention that Cloudera has a robust Data Lake feature with a score of 8.1, but Azure Databricks slightly edges it out with a score of 9.1, indicating a more comprehensive solution for data lake management.
Users say that Azure Databricks offers better performance and reliability, scoring 9.0 compared to Cloudera's 7.8. This difference is crucial for organizations that prioritize uptime and system performance in their data operations.
Pricing
Entry-Level Pricing
Azure Databricks
No pricing available
Cloudera
No pricing available
Free Trial
Azure Databricks
No trial information available
Cloudera
No trial information available
Ratings
Meets Requirements
8.8
160
8.2
30
Ease of Use
8.7
161
7.7
30
Ease of Setup
8.6
75
7.8
18
Ease of Admin
8.5
61
7.2
18
Quality of Support
8.5
147
6.9
26
Has the product been a good partner in doing business?
Firstly, you need to create a Linked Service for ADF to connect to your Databricks Cluster. You can connect to as many clusters as you want.
Then create a...Read more
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