G2 reviewers report that Databricks excels in user experience, with many praising its intuitive notebook environment that simplifies the entire data workflow. Users appreciate that they can handle data processing, analysis, and machine learning all in one place, which enhances productivity.
Users say that Hortonworks Data Platform offers a robust open-source solution for big data, particularly highlighting its integration with Apache Hadoop. Reviewers mention the convenience of the Ambari UI and API for managing clusters, making it relatively easy to get started, especially for those familiar with the Hadoop ecosystem.
According to verified reviews, Databricks stands out for its advanced features like Unity Catalog, which has been a game-changer for enterprises migrating from traditional architectures. Users note the benefits of centralized governance and fine-grained access control, which are crucial for managing large datasets effectively.
Reviewers mention that while Hortonworks Data Platform is strong in handling scale and spark integration, it sometimes struggles with user satisfaction in terms of ease of use and setup compared to Databricks. This can lead to a steeper learning curve for new users.
G2 reviewers highlight that Databricks has a significantly higher overall satisfaction score, reflecting its strong market presence and user support. Many users commend the quality of support they receive, which contributes to a smoother implementation process.
Users report that while Hortonworks Data Platform is a solid choice for enterprises looking for an open-source solution, it has fewer recent reviews compared to Databricks, indicating a potential decline in user engagement or satisfaction. This could be a consideration for buyers looking for a more actively supported platform.
Pricing
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Databricks
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Hortonworks Data Platform
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Databricks
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Hortonworks Data Platform
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Ratings
Meets Requirements
8.9
576
8.3
11
Ease of Use
8.9
587
7.6
11
Ease of Setup
8.7
459
7.3
5
Ease of Admin
8.4
184
7.7
5
Quality of Support
8.7
551
7.8
10
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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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