Users report that Dremio excels in data lake integration with a score of 9.1, allowing seamless access to various data sources, while Rockset's integration capabilities are also strong but slightly lower at 9.0, indicating a more robust performance in Dremio for users needing extensive data lake functionalities.
Reviewers mention that Dremio's ease of use is rated at 9.1, making it user-friendly for teams, whereas Rockset, with a score of 8.8, is still accessible but may require a bit more effort for new users to navigate effectively.
G2 users highlight Dremio's superior data compression capabilities, scoring 8.6, which helps in optimizing storage costs, while Rockset's performance in this area is not explicitly rated, suggesting it may not be as efficient in managing data storage.
Users on G2 emphasize that Rockset shines in quality of support with a high score of 9.4, indicating that users feel well-supported, whereas Dremio's support quality is rated at 8.6, suggesting that while it is good, it may not match the responsiveness and effectiveness of Rockset's support team.
Reviewers say that Dremio's data management features, particularly in data migration, are rated at 8.5, which is beneficial for organizations looking to transition data smoothly, while Rockset does not have a specific score for this feature, indicating a potential gap in its offering.
Users report that Dremio's performance in query latency is impressive with a score of 8.9, allowing for faster data retrieval, while Rockset's query latency is rated slightly higher at 9.3, suggesting it may provide even quicker responses for real-time analytics needs.
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
Rockset is a real-time indexing database platform that is designed for enabling fast and complex querying on large volumes of data. It is used for a variety...Read more
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