G2 reviewers report that Alteryx excels in providing a comprehensive data science and analytics platform, with users appreciating its low-code approach and powerful features like the ETL tool for data preparation and manipulation. The intuitive drag and drop feature enhances usability, making it easier for users to visualize and analyze their data.
Users say Azure Databricks shines in managing large-scale data processing, with a user-friendly interface that becomes easier to navigate after a brief learning curve. Reviewers highlight the seamless integration with other Azure services, which significantly speeds up workflows and enhances productivity.
According to verified reviews, Alteryx has a strong presence in the enterprise market, with a majority of its users coming from this segment. This focus on enterprise solutions is reflected in its robust features that cater to complex data needs, making it a preferred choice for larger organizations.
Reviewers mention that Azure Databricks offers advanced capabilities like Delta Live Tables and Unity Catalog, which provide unified governance and data quality expectations. These features are particularly beneficial for teams looking to maintain high standards in data management and analytics.
G2 reviewers highlight that both platforms score similarly in terms of ease of use and setup, but Alteryx users often express a preference for its all-in-one platform that simplifies the data workflow process. This can be a significant advantage for teams looking for a streamlined solution without needing extensive technical expertise.
Users report that while Alteryx provides excellent data visualization tools, Azure Databricks stands out with its Jupyter notebook system and strong support for notebooks, making it a favorite among data scientists who prefer a coding-centric approach to data analysis.
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.)
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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