Introducing G2.ai, the future of software buying.Try now
Compare Databricks Data Intelligence Platform and Microsoft Fabric 
Featured Products
At a Glance
Market Segments
Enterprise (46.0% of reviews)
Enterprise (44.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(658)4.6 out of 5
Market Segments
Enterprise (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformMicrosoft Fabric
Star Rating
(35)4.7 out of 5
Market Segments
Enterprise (44.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft FabricSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in user satisfaction, boasting a significantly higher G2 Score compared to Microsoft Fabric. Users appreciate its ability to scale large language models and manage security across multiple cloud environments, making it a strong choice for organizations focused on generative AI applications.
- According to verified reviews, both platforms have received the same star rating, but Databricks stands out with a much larger number of reviews, indicating a more established user base. This suggests that users have had more opportunities to share their experiences, providing a richer perspective on its capabilities.
- Users say that Databricks offers a more intuitive interface with interactive notebooks that support SQL and Python, enhancing the visualization process. In contrast, while Microsoft Fabric integrates various tools like Data Factory and Power BI seamlessly, some users feel it may not be as user-friendly for those unfamiliar with its extensive feature set.
- Reviewers mention that Databricks' autoscaling feature is particularly effective, helping to reduce cloud resource costs. This is a notable advantage for teams looking to optimize their spending, whereas Microsoft Fabric, while praised for its end-to-end solution, may not provide the same level of cost efficiency in resource management.
- Users highlight that Microsoft Fabric's strength lies in its comprehensive integration of data engineering and analytics tools, which simplifies workflows. However, some users feel that Databricks offers better flexibility in terms of language and framework options, making it a more versatile choice for diverse data science projects.
- According to recent feedback, both platforms receive positive remarks for their support quality, but Databricks users note that support is generally responsive and timely. This can be a crucial factor for teams that require quick assistance, while Microsoft Fabric users have also expressed satisfaction but with fewer recent reviews to gauge consistency.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableMicrosoft Fabric
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Microsoft Fabric
No trial information availableRatings
Meets Requirements
8.9
538
9.4
29
Ease of Use
8.9
549
9.1
30
Ease of Setup
8.7
422
9.1
13
Ease of Admin
8.3
176
9.0
7
Quality of Support
8.7
513
9.3
29
Has the product been a good partner in doing business?
8.9
180
10.0
7
Product Direction (% positive)
9.6
527
10.0
29
Features by Category
Reports
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.8
12
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.0
8
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.3
10
Not enough data
7.9
11
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.2
10
Not enough data
8.2
11
Not enough data
8.8
10
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.8
7
Not enough data
8.3
7
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.9
6
Not enough data
Building Reports
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
Not enough data
Administration
8.8
97
Not enough data
8.6
93
Not enough data
9.0
93
Not enough data
8.7
95
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.7
85
Not enough data
Compliance
8.8
97
Not enough data
8.7
92
Not enough data
8.8
92
Not enough data
8.7
93
Not enough data
Security
9.0
85
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
93
Not enough data
8.7
93
Not enough data
8.9
92
Not enough data
Maintainence
8.7
85
Not enough data
8.8
83
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
169
Not enough data
8.5
163
Not enough data
Functionality
9.1
170
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Not enough data
Deployment
8.9
64
8.9
17
8.9
64
8.9
17
8.9
64
8.8
16
8.9
65
8.9
16
8.9
66
9.2
16
Deployment
8.9
61
9.0
16
8.8
62
9.3
16
8.6
66
9.2
16
8.9
65
9.2
16
9.0
66
9.3
16
Management
9.0
62
8.8
15
8.8
63
8.9
16
9.1
59
9.0
15
8.9
67
9.0
15
Operations
8.7
62
9.0
16
8.8
61
9.0
16
9.0
62
9.1
16
Management
8.8
60
8.6
16
8.7
60
8.7
15
9.1
59
8.7
15
Generative AI
8.3
28
8.1
14
8.3
28
8.2
14
System
8.8
178
Not enough data
Model Development
8.8
182
Not enough data
7.9
187
Not enough data
8.3
184
Not enough data
8.6
187
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.2
173
Not enough data
8.5
179
Not enough data
8.2
170
Not enough data
8.2
172
Not enough data
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
176
Not enough data
8.7
179
Not enough data
9.0
185
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.1
9
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
181
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.8
174
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
170
|
Verified
Not enough data
Integration
8.8
167
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
155
|
Verified
Not enough data
9.1
176
|
Verified
Not enough data
Performance
9.1
176
|
Verified
Not enough data
Security
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Data Management
9.0
66
Not enough data
8.7
67
Not enough data
8.8
67
Not enough data
9.1
66
Not enough data
Agentic AI - DataOps Platforms
9.0
8
Not enough data
8.6
6
Not enough data
9.0
7
Not enough data
8.6
6
Not enough data
9.3
7
Not enough data
Analytics
8.8
66
Not enough data
8.5
64
Not enough data
Monitoring and Management
8.6
66
Not enough data
8.6
66
Not enough data
Cloud Deployment
9.1
62
Not enough data
9.0
62
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Database
8.7
229
Not enough data
8.9
235
Not enough data
9.3
242
Not enough data
Integrations
8.3
217
Not enough data
9.1
244
Not enough data
Platform
9.0
236
Not enough data
8.8
234
Not enough data
9.1
244
Not enough data
Processing
9.0
233
Not enough data
9.0
230
Not enough data
Data Transformation
8.8
223
Not enough data
9.0
229
Not enough data
Connectivity
8.7
205
Not enough data
9.2
229
Not enough data
9.0
219
Not enough data
9.2
227
Not enough data
Operations
8.4
225
Not enough data
8.8
220
Not enough data
8.6
210
Not enough data
8.6
209
Not enough data
9.3
224
Not enough data
Building Reports
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
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 Data Intelligence Platform and Microsoft Fabric are categorized as MLOps Platforms
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Microsoft Fabric has no unique categories
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Microsoft Fabric
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
15.1%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.7%
Hospital & Health Care
3.6%
Other
58.2%
Insurance
17.6%
Information Technology and Services
14.7%
Education Management
8.8%
Manufacturing
5.9%
Marketing and Advertising
5.9%
Other
47.1%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
3 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
Microsoft Fabric has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
