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At a Glance
Market Segments
Enterprise (46.5% of reviews)
Mid-Market (53.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(626)4.6 out of 5
Market Segments
Enterprise (46.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformPower Query
Star Rating
(15)4.5 out of 5
Market Segments
Mid-Market (53.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Power QuerySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in Data Integration with a score of 9.0, while Power Query follows closely with a score of 8.9. Reviewers mention that Databricks offers seamless integration with various data sources, making it a preferred choice for enterprises needing robust data handling capabilities.
- Reviewers mention that Power Query shines in Ease of Use with a score of 8.9 compared to Databricks' score of 8.7. Users on G2 appreciate Power Query's intuitive interface, which simplifies data transformation tasks, making it ideal for users who may not have extensive technical expertise.
- G2 users highlight that Databricks provides superior Scalability with a score of 9.1, while Power Query scores 8.5. Users report that Databricks can handle large datasets efficiently, which is crucial for enterprises dealing with big data analytics.
- Users say that Power Query offers better Reporting capabilities with a score of 9.0, compared to Databricks' score of 8.1. Reviewers mention that Power Query's reporting features are user-friendly and allow for quick insights, making it a favorite among business analysts.
- Reviewers mention that Databricks excels in Machine Learning Services, particularly in Model Training with a score of 8.7, while Power Query scores 8.6. Users report that Databricks provides a more comprehensive environment for developing and deploying machine learning models, which is essential for data scientists.
- Users on G2 report that Power Query has a more robust Data Transformation feature with a score of 8.9, while Databricks scores 9.3. Reviewers mention that Power Query's transformation tools are particularly effective for cleaning and preparing data, making it a go-to for data preparation tasks.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availablePower Query
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Power Query
No trial information availableRatings
Meets Requirements
8.9
512
8.7
14
Ease of Use
8.8
521
8.9
15
Ease of Setup
8.6
394
Not enough data
Ease of Admin
8.3
169
Not enough data
Quality of Support
8.7
487
8.6
14
Has the product been a good partner in doing business?
8.8
172
Not enough data
Product Direction (% positive)
9.6
500
10.0
15
Features by Category
Reports
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics Platforms
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
Self Service
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
Not enough data
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Not enough data
Administration
8.8
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Not enough data
Management
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Not enough data
Compliance
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Not enough data
Security
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Not enough data
Data Quality
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Not enough data
Maintainence
8.8
81
Not enough data
8.8
80
Not enough data
Generative AI
8.4
79
Not enough data
8.5
78
Not enough data
Agentic AI - Data Governance
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
Management
8.6
167
9.0
14
8.5
161
8.5
14
Functionality
9.1
168
8.6
14
9.2
169
8.9
14
9.1
170
8.3
14
9.0
162
8.8
14
9.1
164
8.5
14
Deployment
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Not enough data
Management
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Not enough data
Management
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
Not enough data
Generative AI
8.3
27
Not enough data
8.3
27
Not enough data
System
8.8
175
Not enough data
Model Development
8.8
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Not enough data
Machine/Deep Learning Services
8.4
156
Not enough data
8.4
158
Not enough data
Deployment
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
Not enough data
Generative AI
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
Data Management
9.0
177
|
Verified
Not enough data
8.9
177
|
Verified
Not enough data
8.8
172
|
Verified
Not enough data
8.7
175
|
Verified
Not enough data
8.7
165
|
Verified
Not enough data
9.0
167
|
Verified
Not enough data
Integration
8.8
163
|
Verified
Not enough data
8.8
163
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Deployment
7.9
152
|
Verified
Not enough data
9.1
173
|
Verified
Not enough data
Performance
9.1
173
|
Verified
Not enough data
Security
8.8
164
|
Verified
Not enough data
8.9
165
|
Verified
Not enough data
Generative AI
8.5
75
Not enough data
8.4
74
Not enough data
Data Management
9.0
66
Not enough data
8.7
65
Not enough data
8.8
66
Not enough data
9.1
63
Not enough data
Agentic AI - DataOps Platforms
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Analytics
8.8
64
Not enough data
8.4
63
Not enough data
Monitoring and Management
8.5
64
Not enough data
8.5
64
Not enough data
Cloud Deployment
9.1
60
Not enough data
9.0
61
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Database
8.7
218
Not enough data
8.9
224
Not enough data
9.3
225
Not enough data
Integrations
8.3
207
Not enough data
9.2
227
Not enough data
Platform
9.0
220
Not enough data
8.8
223
Not enough data
9.2
227
Not enough data
Processing
9.0
219
Not enough data
9.0
218
Not enough data
Data Transformation
8.8
219
Not enough data
9.0
226
Not enough data
Connectivity
8.7
202
Not enough data
9.2
225
Not enough data
9.0
217
Not enough data
9.2
225
Not enough data
Operations
8.4
223
Not enough data
8.8
218
Not enough data
8.6
207
Not enough data
8.6
205
Not enough data
9.3
220
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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 Power Query are categorized as ETL Tools
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Power Query 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.)
Power Query
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
14.7%
Financial Services
11.4%
Computer Software
8.2%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
58.1%
Financial Services
13.3%
Transportation/Trucking/Railroad
6.7%
Telecommunications
6.7%
Retail
6.7%
Non-Profit Organization Management
6.7%
Other
60.0%
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
Power Query has no discussions with answers
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