G2 reviewers report that the Databricks Data Intelligence Platform excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Atlan. Users appreciate its robust capabilities for scaling large language models and managing data across multiple cloud environments, which enhances their operational efficiency.
Users say that Atlan shines in creating a collaborative environment, making data work feel seamless and integrated. Reviewers highlight its user-friendly data catalog, which fosters teamwork and trust in data, although it may not match the advanced analytics capabilities of Databricks.
According to verified reviews, Databricks offers a more comprehensive set of features for data modeling and workflow management, with users praising its interactive notebooks that support SQL and Python for visualization. This versatility is particularly beneficial for teams needing to analyze complex datasets.
Reviewers mention that Atlan's ease of setup and user experience is a strong point, with many finding the implementation process remarkably easy. However, some users feel that while Atlan is user-friendly, it may lack the depth of features that Databricks provides for more advanced data operations.
G2 reviewers highlight the quality of support from Atlan, noting its responsiveness and collaborative approach. In contrast, while Databricks also receives positive feedback for support, users have reported that it can sometimes be less timely, especially during peak usage times.
Users report that Databricks' autoscaling feature is particularly effective, helping to reduce cloud resource costs while maintaining performance. This capability is a significant advantage for organizations looking to optimize their data operations, setting it apart from Atlan's offerings.
Pricing
Entry-Level Pricing
Atlan
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Databricks
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Free Trial
Atlan
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Databricks
Free Trial is available
Ratings
Meets Requirements
8.6
109
8.9
574
Ease of Use
9.0
109
8.9
585
Ease of Setup
9.2
82
8.7
457
Ease of Admin
8.9
75
8.3
183
Quality of Support
9.2
105
8.7
549
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4 Comments
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It supports large amount of data with capability to write code in SQL, Spark, Python and R.
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3 Comments
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