Compare Dremio and Firebolt 
- Users report that Dremio excels in data lake integration with a score of 9.1, allowing seamless connectivity to various data sources, while Firebolt, with a score of 8.3, is noted for its strong data compression capabilities but lacks the same level of integration flexibility.
- Reviewers mention that Dremio's ease of use is highlighted by a score of 9.1, making it user-friendly for teams, whereas Firebolt, scoring 8.5, is perceived as slightly more complex, which may require additional training for new users.
- G2 users indicate that Dremio's data querying capabilities shine with a score of 9.2, providing fast and efficient query performance, while Firebolt, although strong, scores lower in this area, suggesting it may not be as optimized for high-volume queries.
- Reviewers say that Dremio's built-in data analytics feature, scoring 7.6, is beneficial for users looking for integrated analytics tools, while Firebolt's score of 7.2 indicates it may not offer as robust analytics capabilities directly within the platform.
- Users on G2 highlight that Firebolt's scalability is impressive, with a score of 9.2, making it suitable for growing businesses, while Dremio's scalability score of 8.3 suggests it may not handle rapid scaling as effectively.
- Reviewers mention that Dremio's quality of support, scoring 8.6, is generally well-regarded, but Firebolt's support, with a higher score of 9.0, is noted for being particularly responsive and helpful, which can be crucial for businesses needing quick resolutions.
Dremio offers amazing SQL performance for our Cloud Data Lake The UI is intuitive and offers some nice data preparation capabilities Dremio's data strategy aligns with ours Arrow Flight will offer a step-change in capability
There can be better support for large datasets in the TB/PB range in terms of dataset management, with something like Iceberg support, which is in the works.
Firebolt makes it easy to index and query semi-structured JSON data, as well as import database snapshots, which allows us to aggregate data from many sources to answer questions, generate reports, and explore data.
The distinct architecture and querying language of Firebolt may necessitate users to acquire new skills and modify their workflows, which could impede the adoption process and act as an obstacle to some organizations.
Dremio offers amazing SQL performance for our Cloud Data Lake The UI is intuitive and offers some nice data preparation capabilities Dremio's data strategy aligns with ours Arrow Flight will offer a step-change in capability
Firebolt makes it easy to index and query semi-structured JSON data, as well as import database snapshots, which allows us to aggregate data from many sources to answer questions, generate reports, and explore data.
There can be better support for large datasets in the TB/PB range in terms of dataset management, with something like Iceberg support, which is in the works.
The distinct architecture and querying language of Firebolt may necessitate users to acquire new skills and modify their workflows, which could impede the adoption process and act as an obstacle to some organizations.
