Users report that Upsolver excels in ease of setup with a score of 9.3, making it a preferred choice for teams looking to quickly implement data solutions. In contrast, Dremio's ease of setup is rated lower at 8.5, which some reviewers mention can lead to a steeper learning curve.
Reviewers mention that Upsolver has a strong focus on data lake analytics, scoring 9.0, which is particularly beneficial for organizations looking to leverage large datasets efficiently. Dremio also performs well in this area but does not match the same level of user satisfaction.
G2 users highlight Upsolver's superior quality of support, rated at 9.2, with many reviewers saying that the support team is responsive and helpful. Dremio, while still providing decent support at 8.6, has received feedback indicating that response times could be improved.
Users on G2 report that Dremio shines in its data query capabilities, achieving a score of 9.2, which allows for complex queries to be executed efficiently. Upsolver, while competent, does not reach the same level of performance in this specific area.
Reviewers mention that Upsolver's data integration capabilities are rated at 8.7, which users find beneficial for connecting various data sources seamlessly. Dremio, however, has a broader range of integrations, particularly with BI tools, scoring 8.8, which some users find advantageous for their analytics workflows.
Users say that Dremio's cloud processing capabilities are rated highly at 9.3, making it a strong choice for organizations that prioritize cloud-based solutions. Upsolver's cloud capabilities are rated slightly lower at 8.5, which some users feel may limit flexibility in cloud environments.
Pricing
Entry-Level Pricing
Dremio
No pricing available
Upsolver
No pricing available
Free Trial
Dremio
Free Trial is available
Upsolver
Free Trial is available
Ratings
Meets Requirements
8.7
52
8.5
10
Ease of Use
9.2
53
8.8
10
Ease of Setup
8.4
47
9.3
9
Ease of Admin
7.8
29
8.7
9
Quality of Support
8.5
50
9.2
10
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A reflection is an optimized materialization of source data or a query, similar to a materialized view, that is derived from an existing table or view. A...Read more
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