G2 reviewers report that Databricks excels in providing a comprehensive data workflow solution, with features like Genie and Lakehouse Connect that streamline data processing and machine learning tasks. Users appreciate how everything is available in one place, reducing the need to switch between multiple tools.
Users say Microsoft Fabric shines with its OneLake Infrastructure, which integrates various data capabilities into a single platform. This unification helps eliminate "tool chaos," making it easier for data engineers to manage workflows without juggling different applications.
Reviewers mention that while Databricks has a strong feature set, some users find it challenging to configure for specific workflows. This can lead to a steeper learning curve compared to Microsoft Fabric, which is noted for its user-friendly interface and governance features.
According to verified reviews, Microsoft Fabric's recent updates have been well-received, particularly its Spark Notebooks and overall governance capabilities. Users highlight the platform's performance in handling high-demand data tasks, making it a solid choice for organizations focused on big data and AI.
G2 reviewers indicate that Databricks has a higher overall satisfaction score, reflecting its robust capabilities and extensive user base. However, some users feel that the complexity of its features can be overwhelming, especially for those new to data engineering.
Users report that both platforms have strong support systems, but Microsoft Fabric tends to receive higher marks for its customer service and responsiveness. This can be a crucial factor for teams that require ongoing assistance during implementation and daily operations.
Pricing
Entry-Level Pricing
Databricks
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Microsoft Fabric
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Free Trial
Databricks
Free Trial is available
Microsoft Fabric
No trial information available
Ratings
Meets Requirements
8.9
589
9.4
35
Ease of Use
8.9
602
9.1
36
Ease of Setup
8.7
474
9.1
19
Ease of Admin
8.4
184
9.0
8
Quality of Support
8.7
565
9.2
35
Has the product been a good partner in doing business?
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
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