Compare Databricks and Dremio 
At a Glance
Market Segments
Enterprise (44.0% of reviews)
Enterprise (48.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(759)4.6 out of 5
Market Segments
Enterprise (44.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksDremio
Star Rating
(70)4.6 out of 5
Market Segments
Enterprise (48.4% 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 Databricks excels in providing a comprehensive data workflow solution, with users highlighting features like Unity Catalog for centralized governance and streaming tables that enhance real-time data processing. This integration allows teams to manage their data more efficiently without switching between multiple tools.
- Users say that Dremio stands out for its ease of use and quick onboarding process. Many appreciate how swiftly they can connect to various data sources, such as PostgreSQL and MongoDB, without facing significant setup challenges, making it a favorable option for teams looking for a straightforward implementation.
- Reviewers mention that Databricks has a higher overall satisfaction score, reflecting its robust capabilities in big data analytics and processing. Users frequently cite the platform's ability to simplify complex data tasks, which is particularly beneficial for enterprises managing large datasets.
- According to verified reviews, Dremio's strength lies in its ability to connect to a wide array of data sources, including S3 and HDFS, which allows users to query data directly from these locations. This flexibility is a significant advantage for organizations with diverse data storage needs.
- G2 reviewers highlight that while Databricks offers a more feature-rich environment, Dremio's user-friendly interface and quick setup can be appealing for smaller teams or those new to data analytics, as they can start working with their data almost immediately.
- Users report that Databricks provides superior support and resources, with many praising the quality of assistance available when navigating complex data challenges. This level of support can be crucial for enterprises that require reliable guidance during their data initiatives.
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
9.0
594
8.7
53
Ease of Use
8.9
609
9.2
54
Ease of Setup
8.7
482
8.4
48
Ease of Admin
8.4
184
7.8
29
Quality of Support
8.7
571
8.5
50
Has the product been a good partner in doing business?
8.9
188
9.1
28
Product Direction (% positive)
9.6
582
9.8
47
Features by Category
Reports
8.6
15
Not enough data
7.9
12
Not enough data
8.6
13
Not enough data
8.2
10
Not enough data
9.1
16
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
Advanced Analytics
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Not enough data
Building Reports
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
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
8.6
15
Not enough data
7.9
12
Not enough data
8.6
13
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
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
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
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
170
Not enough data
Deployment
8.9
65
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
Not enough data
Deployment
8.9
62
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
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
181
Not enough data
Model Development
8.7
185
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
Data Management
9.1
186
|
Verified
8.6
23
8.9
181
|
Verified
8.6
21
8.9
182
|
Verified
8.3
12
8.8
181
|
Verified
7.7
20
8.7
168
|
Verified
Feature Not Available
9.1
173
|
Verified
8.9
23
Integration
8.8
169
|
Verified
Feature Not Available
8.8
168
|
Verified
8.8
21
9.1
177
|
Verified
9.0
22
Deployment
7.9
157
|
Verified
8.7
15
9.2
179
|
Verified
8.5
19
Performance
9.2
180
|
Verified
8.3
21
Security
8.9
171
|
Verified
8.2
20
8.9
169
|
Verified
Feature Not Available
Generative AI
8.5
77
6.9
12
8.4
76
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
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
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
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
Database
8.7
239
Feature Not Available
8.9
247
Feature Not Available
9.3
266
Feature Not Available
Integrations
8.3
220
9.0
18
9.1
269
7.9
13
Platform
8.9
262
9.1
20
8.9
255
8.7
13
9.1
269
7.9
13
Processing
9.0
248
9.1
19
9.0
255
8.6
13
Data Transformation
8.9
229
Feature Not Available
9.1
237
9.2
25
Connectivity
8.7
208
8.6
22
9.2
232
Feature Not Available
9.0
222
8.9
23
9.2
231
8.9
26
Operations
8.4
230
7.2
25
8.8
229
7.1
25
8.6
214
7.8
27
8.6
210
7.7
21
9.3
232
7.0
21
Building Reports
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
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
15.7%
Financial Services
10.3%
Computer Software
8.7%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
57.8%
Financial Services
25.0%
Information Technology and Services
10.9%
Computer Software
7.8%
Automotive
4.7%
Marketing and Advertising
4.7%
Other
46.9%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
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
Dremio has no more discussions with answers
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