Compare Databricks and Microsoft Fabric

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At a Glance
Databricks
Databricks
Star Rating
(747)4.6 out of 5
Market Segments
Enterprise (44.6% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks
Microsoft Fabric
Microsoft Fabric
Star Rating
(41)4.7 out of 5
Market Segments
Enterprise (40.0% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft Fabric
AI Generated Summary
AI-generated. Powered by real user reviews.
  • 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
No pricing available
Microsoft Fabric
No pricing available
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?
8.9
188
9.8
8
Product Direction (% positive)
9.6
576
9.7
35
Features by Category
8.8
194
Not enough data
Reports
8.5
14
Not enough data
7.9
12
Not enough data
8.5
12
Not enough data
8.2
10
Not enough data
9.1
16
Not enough data
Data Preparation
9.0
7
Not enough data
9.0
8
Not enough data
Data Modeling and Blending
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
Generative AI
9.2
10
Not enough data
9.3
7
Not enough data
Agentic AI - Analytics Platforms
9.4
8
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.5
8
Not enough data
9.3
7
Not enough data
9.4
6
Not enough data
Self Service
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.3
12
Not enough data
8.1
9
Not enough data
Deployment & Integration - Analytics Platforms
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Advanced Analytics
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Not enough data
Performance & Scalability - Analytics Platforms
9.0
8
Not enough data
9.7
5
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Not enough data
Personalized Intelligence - Analytics Platforms
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Not enough data
Building Reports
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
148
Not enough data
8.8
116
Not enough data
Administration
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Not enough data
Management
8.5
88
Not enough data
8.6
87
Not enough data
8.7
89
Not enough data
8.5
88
Not enough data
8.8
87
Not enough data
Compliance
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Not enough data
Security
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Not enough data
Data Quality
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Not enough data
Maintainence
8.7
86
Not enough data
8.8
85
Not enough data
Generative AI
8.4
83
Not enough data
8.5
82
Not enough data
Agentic AI - Data Governance
8.6
11
Not enough data
8.9
12
Not enough data
9.1
15
Not enough data
8.6
13
Not enough data
9.1
13
Not enough data
9.0
14
Not enough data
8.9
190
Not enough data
Management
8.6
173
Not enough data
8.5
165
Not enough data
Functionality
9.1
177
Not enough data
9.2
179
Not enough data
9.1
174
Not enough data
9.0
168
Not enough data
9.1
169
Not enough data
8.9
78
8.9
23
Deployment
8.9
65
9.1
21
8.9
64
8.9
20
8.9
66
8.9
19
8.9
66
8.8
20
9.0
68
9.3
20
Deployment
8.9
62
8.7
19
8.8
62
9.4
18
8.6
66
9.0
20
8.9
65
9.3
18
9.0
66
9.3
17
Management
9.0
64
8.8
18
8.9
66
9.0
18
9.2
61
9.1
18
9.0
69
9.1
17
Operations
8.7
62
9.0
17
8.8
62
9.1
18
9.0
63
9.2
19
Management
8.8
61
8.7
17
8.7
61
8.8
16
9.1
59
8.8
16
Generative AI
8.3
28
8.1
14
8.3
28
8.3
15
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
8.6
219
Not enough data
System
8.9
181
Not enough data
Model Development
8.7
184
Not enough data
8.0
188
Not enough data
8.3
187
Not enough data
8.7
192
Not enough data
Model Development
8.5
173
Not enough data
Machine/Deep Learning Services
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Not enough data
Machine/Deep Learning Services
8.4
159
Not enough data
8.4
161
Not enough data
Deployment
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Not enough data
Generative AI
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.3
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.8
8
Not enough data
9.2
11
Not enough data
8.8
7
Not enough data
9.4
8
Not enough data
8.8
202
Not enough data
Data Management
9.1
186
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.8
181
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
9.1
173
|
Verified
Not enough data
Integration
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
176
|
Verified
Not enough data
Deployment
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Not enough data
Performance
9.2
180
|
Verified
Not enough data
Security
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Not enough data
Generative AI
8.5
77
Not enough data
8.4
76
Not enough data
Database Management Systems (DBMS)Hide 10 FeaturesShow 10 Features
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintenance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
8.9
79
Not enough data
Data Management
9.0
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Not enough data
Agentic AI - DataOps Platforms
9.2
10
Not enough data
9.0
8
Not enough data
9.0
10
Not enough data
9.1
9
Not enough data
9.4
9
Not enough data
Analytics
8.8
68
Not enough data
8.6
68
Not enough data
Monitoring and Management
8.6
68
Not enough data
8.6
69
Not enough data
Cloud Deployment
9.0
64
Not enough data
9.0
65
Not enough data
Generative AI
9.0
37
Not enough data
8.9
37
Not enough data
Generative AI InfrastructureHide 14 FeaturesShow 14 Features
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Big Data Processing and DistributionHide 10 FeaturesShow 10 Features
8.9
313
Not enough data
Database
8.7
239
Not enough data
8.9
247
Not enough data
9.3
264
Not enough data
Integrations
8.3
220
Not enough data
9.1
266
Not enough data
Platform
9.0
259
Not enough data
8.9
255
Not enough data
9.1
266
Not enough data
Processing
9.0
247
Not enough data
9.0
253
Not enough data
8.9
262
Not enough data
Data Transformation
8.9
229
Not enough data
9.1
237
Not enough data
Connectivity
8.7
208
Not enough data
9.2
231
Not enough data
9.0
222
Not enough data
9.2
232
Not enough data
Operations
8.4
230
Not enough data
8.8
228
Not enough data
8.6
214
Not enough data
8.6
210
Not enough data
9.3
233
Not enough data
8.5
181
Not enough data
Building Reports
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
148
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Databricks
Databricks
Microsoft Fabric
Microsoft Fabric
Databricks and Microsoft Fabric are categorized as MLOps Platforms
Reviews
Reviewers' Company Size
Databricks
Databricks
Small-Business(50 or fewer emp.)
16.0%
Mid-Market(51-1000 emp.)
39.4%
Enterprise(> 1000 emp.)
44.6%
Microsoft Fabric
Microsoft Fabric
Small-Business(50 or fewer emp.)
25.0%
Mid-Market(51-1000 emp.)
35.0%
Enterprise(> 1000 emp.)
40.0%
Reviewers' Industry
Databricks
Databricks
Information Technology and Services
15.9%
Financial Services
10.2%
Computer Software
8.5%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
57.7%
Microsoft Fabric
Microsoft Fabric
Information Technology and Services
17.5%
Insurance
15.0%
Manufacturing
7.5%
Education Management
7.5%
Commercial Real Estate
5.0%
Other
47.5%
Alternatives
Databricks
Databricks Alternatives
Snowflake
Snowflake
Add Snowflake
Teradata Vantage
Teradata Vantage
Add Teradata Vantage
Google Cloud BigQuery
Google Cloud BigQuery
Add Google Cloud BigQuery
Alteryx
Alteryx
Add Alteryx
Microsoft Fabric
Microsoft Fabric Alternatives
Dataiku
Dataiku
Add Dataiku
SAS Viya
SAS Viya
Add SAS Viya
SAP HANA Cloud
SAP HANA Cloud
Add SAP HANA Cloud
Vertex AI
Vertex AI
Add Vertex AI
Discussions
Databricks
Databricks Discussions
What is Lakehouse in Databricks?
4 Comments
Brian K.
BK
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
Microsoft Fabric
Microsoft Fabric Discussions
Monty the Mongoose crying
Microsoft Fabric has no discussions with answers