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Compare Databricks and Dremio 
Featured Products
At a Glance
Market Segments
Enterprise (46.1% of reviews)
Enterprise (47.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(657)4.6 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksDremio
Star Rating
(69)4.6 out of 5
Market Segments
Enterprise (47.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DremioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Dremio. Users appreciate its capabilities for scaling large language models and managing data across multiple cloud environments, which enhances their operational efficiency.
- Users say that Dremio stands out for its ease of use, particularly during the onboarding process. Many have noted how quickly they could connect to various data sources without facing a complicated setup, making it a favorable choice for teams looking for a straightforward implementation.
- Reviewers mention that Databricks offers a more robust feature set for data analytics, with interactive notebooks that support both SQL and Python. This versatility allows users to visualize data effectively in one place, which is a significant advantage for data-driven decision-making.
- According to verified reviews, Dremio's ability to connect to a wide array of data sources, including both relational and NoSQL databases, is highly praised. Users appreciate the flexibility it provides, especially when querying directly from cloud storage like S3 and HDFS.
- G2 reviewers highlight that while Databricks has a slightly more complex setup, its autoscaling feature is a game-changer for managing cloud resources efficiently. Users have reported cost reductions thanks to this feature, which is particularly beneficial for organizations with fluctuating workloads.
- Users note that while Dremio has a solid support rating, Databricks tends to offer more comprehensive support options, which can be crucial for enterprises that require timely assistance. This difference in support quality can impact user experience, especially during critical project phases.
Pricing
Entry-Level Pricing
Databricks
No pricing availableDremio
No pricing availableFree Trial
Databricks
Free Trial is available
Dremio
Free Trial is available
Ratings
Meets Requirements
8.9
537
8.7
52
Ease of Use
8.9
548
9.2
53
Ease of Setup
8.7
421
8.4
47
Ease of Admin
8.3
175
7.8
29
Quality of Support
8.7
512
8.5
50
Has the product been a good partner in doing business?
8.9
179
9.1
28
Product Direction (% positive)
9.6
526
9.7
46
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
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
Advanced Analytics
8.2
10
Not enough data
8.2
11
Not enough data
8.8
10
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
139
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
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
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
139
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
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
66
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Not enough data
Management
9.0
62
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Not enough data
Management
8.8
60
Not enough data
8.7
60
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
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
8.6
23
8.9
180
|
Verified
8.5
20
8.8
174
|
Verified
8.3
12
8.8
178
|
Verified
7.7
20
8.7
167
|
Verified
Feature Not Available
9.1
170
|
Verified
8.9
23
Integration
8.8
167
|
Verified
Feature Not Available
8.8
165
|
Verified
8.8
21
9.1
172
|
Verified
9.0
22
Deployment
7.9
155
|
Verified
8.7
15
9.1
176
|
Verified
8.5
19
Performance
9.1
176
|
Verified
8.3
21
Security
8.8
165
|
Verified
8.2
20
8.9
166
|
Verified
Feature Not Available
Generative AI
8.5
76
6.9
12
8.4
75
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
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
Data Management
Not enough data
8.6
11
Not enough data
8.8
11
Not enough data
Feature Not Available
Data as a Service
Not enough data
7.6
11
Not enough data
8.2
11
Architecture
Not enough data
8.2
11
Not enough data
8.6
11
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
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
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.7
228
Feature Not Available
8.9
234
Feature Not Available
9.3
241
Feature Not Available
Integrations
8.3
216
9.0
18
9.1
243
7.9
13
Platform
9.0
235
9.1
20
8.8
233
8.7
13
9.1
243
7.9
13
Processing
9.0
232
9.1
18
9.0
229
8.6
13
Data Transformation
8.8
223
Feature Not Available
9.0
229
9.2
24
Connectivity
8.7
205
8.6
22
9.2
229
Feature Not Available
9.0
219
8.9
23
9.2
227
8.9
25
Operations
8.4
225
7.2
25
8.8
220
7.1
25
8.6
210
7.8
27
8.6
209
7.7
21
9.3
224
7.0
21
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
139
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 and Dremio are categorized as Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Dremio
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
15.0%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.8%
Hospital & Health Care
3.6%
Other
58.3%
Financial Services
23.8%
Information Technology and Services
11.1%
Computer Software
7.9%
Marketing and Advertising
4.8%
Automotive
4.8%
Other
47.6%
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
What is a Dremio reflection?
1 Comment
Official Response from Dremio
A reflection is an optimized materialization of source data or a query, similar to a materialized view, that is derived from an existing table or view. A...Read more
Dremio has no more discussions with answers
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