G2 reviewers report that Alteryx excels in providing a comprehensive data science and analytics platform, with features like an intuitive ETL tool and advanced data visualization capabilities. Users appreciate the drag-and-drop interface, which simplifies data manipulation and analysis.
Users say Dremio stands out for its ease of use, particularly during onboarding. Many users were pleasantly surprised by how quickly they could connect to multiple data sources without a complicated setup process, making it a favorable choice for teams looking to minimize implementation headaches.
Reviewers mention that Alteryx has a strong presence in the enterprise market, with a significant portion of its user base coming from larger organizations. This focus on enterprise needs is reflected in its robust features that cater to complex data workflows.
According to verified reviews, Dremio shines in its ability to connect to a wide array of data sources, including both relational and NoSQL databases, as well as cloud storage options like S3 and HDFS. This flexibility is a major plus for users who require diverse data integration capabilities.
G2 reviewers highlight that while both platforms offer quality support, Alteryx users have noted a slightly lower ease of administration compared to Dremio. This suggests that while Alteryx provides excellent support, managing the platform may require more effort for some users.
Users report that Alteryx's overall user satisfaction is higher, as evidenced by its G2 Score and the volume of recent reviews. This indicates a strong community of users who find value in its features, while Dremio, despite its strengths, has fewer recent reviews, suggesting a smaller active user base.
Pricing
Entry-Level Pricing
Alteryx
Starter Edition
$3,000.00
1 User Per Year
For Small Teams That Need to Perform Basic Business Analytics
Prepare and analyze data with code-free software on flat files.
Essential drag-and-drop data preparation (Blend, Transform, Join, Aggregate, etc.)
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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