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- Databricks Data Intelligence Platform-vs-Dremio
Compare Databricks Data Intelligence Platform and Dremio 
At a Glance
Market Segments
Enterprise (46.9% of reviews)
Enterprise (48.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(608)4.6 out of 5
Market Segments
Enterprise (46.9% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformDremio
Star Rating
(66)4.6 out of 5
Market Segments
Enterprise (48.3% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about DremioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Databricks Data Intelligence Platform excels in Data Lake Analytics with a score of 8.8, while Dremio shines in Data Lake Analytics with a higher score of 9.0, indicating that Dremio may offer more robust features for managing and analyzing data lakes.
- Reviewers mention that Databricks provides strong Data Integration capabilities with a score of 9.0, whereas Dremio's score of 8.7 suggests it may not be as comprehensive in this area, making Databricks a better choice for users focused on seamless data integration.
- G2 users highlight that Dremio has superior Data Querying capabilities, scoring 9.2 compared to Databricks' 8.8. This suggests that users may find Dremio more efficient for executing complex queries on large datasets.
- Users on G2 report that Databricks offers a more favorable Built-In Data Analytics experience with a score of 8.5, while Dremio's score of 7.6 indicates that users may find Databricks' analytics tools more effective for their needs.
- Reviewers mention that Dremio's On-Premise Deployment capabilities are rated at 8.8, significantly higher than Databricks' score of 7.5, suggesting that Dremio may be a better fit for organizations requiring strong on-premise solutions.
- Users say that Databricks has a more favorable Model Registry feature with a score of 8.9, compared to Dremio's offerings, indicating that users may find it easier to manage and deploy machine learning models with Databricks.
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Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableDremio
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Dremio
Free Trial is available
Ratings
Meets Requirements
8.9
494
8.7
49
Ease of Use
8.8
503
9.2
50
Ease of Setup
8.7
376
8.4
44
Ease of Admin
8.3
162
7.7
27
Quality of Support
8.7
469
8.6
47
Has the product been a good partner in doing business?
8.8
165
9.2
26
Product Direction (% positive)
9.6
483
9.7
44
Features by Category
Administration
8.7
83
Not enough data
8.6
80
Not enough data
9.0
81
Not enough data
8.6
82
Not enough data
Management
8.4
75
Not enough data
8.6
74
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
8.7
74
Not enough data
Compliance
8.8
81
Not enough data
8.6
80
Not enough data
8.9
79
Not enough data
8.7
79
Not enough data
Security
9.0
72
Not enough data
8.9
74
Not enough data
8.8
74
Not enough data
Data Quality
8.9
81
Not enough data
8.7
80
Not enough data
9.0
78
Not enough data
Maintainence
8.8
73
Not enough data
8.8
72
Not enough data
Generative AI
8.5
71
Not enough data
8.5
70
Not enough data
Agentic AI - Data Governance
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
Management
8.6
161
Not enough data
8.5
155
Not enough data
Functionality
9.1
162
Not enough data
9.2
163
Not enough data
9.1
164
Not enough data
9.0
156
Not enough data
9.1
158
Not enough data
Deployment
8.9
61
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
8.9
62
Not enough data
Deployment
8.9
60
Not enough data
8.8
61
Not enough data
8.6
64
Not enough data
8.9
63
Not enough data
9.0
63
Not enough data
Management
8.9
59
Not enough data
8.8
61
Not enough data
9.2
57
Not enough data
9.0
65
Not enough data
Operations
8.7
60
Not enough data
8.8
59
Not enough data
9.0
60
Not enough data
Management
8.8
59
Not enough data
8.7
58
Not enough data
9.1
57
Not enough data
Generative AI
8.3
26
Not enough data
8.3
26
Not enough data
System
8.8
168
Not enough data
8.7
163
Not enough data
8.1
164
Not enough data
Model Development
8.7
171
Not enough data
7.9
177
Not enough data
8.3
174
Not enough data
8.6
176
Not enough data
Model Development
8.4
162
Not enough data
8.7
166
Not enough data
8.5
164
Not enough data
Machine/Deep Learning Services
8.1
163
Not enough data
8.5
168
Not enough data
8.2
160
Not enough data
8.2
162
Not enough data
Machine/Deep Learning Services
8.2
151
Not enough data
8.4
149
Not enough data
8.4
149
Not enough data
8.5
151
Not enough data
Deployment
8.5
166
Not enough data
8.7
169
Not enough data
9.0
173
Not enough data
Deployment
8.5
156
Not enough data
8.7
162
Not enough data
8.8
160
Not enough data
Generative AI
8.3
80
Not enough data
8.5
80
Not enough data
7.6
79
Not enough data
Agentic AI - Data Science and Machine Learning 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
Data Management
9.0
171
|
Verified
8.7
21
8.9
170
|
Verified
8.6
19
8.8
165
|
Verified
8.2
10
8.7
168
|
Verified
7.6
18
8.6
158
|
Verified
Feature Not Available
9.0
160
|
Verified
9.0
21
Integration
8.8
156
|
Verified
Feature Not Available
8.8
156
|
Verified
8.8
19
9.0
164
|
Verified
9.1
20
Deployment
7.8
145
|
Verified
8.8
14
9.1
166
|
Verified
8.5
18
Performance
9.1
166
|
Verified
8.3
20
Security
8.8
157
|
Verified
8.1
19
8.9
158
|
Verified
Feature Not Available
Generative AI
8.5
68
7.6
11
8.4
67
Not enough data
Data Management
9.0
60
Not enough data
8.6
59
Not enough data
8.7
60
Not enough data
9.1
57
Not enough data
Agentic AI - DataOps 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
Analytics
8.9
58
Not enough data
8.5
57
Not enough data
Monitoring and Management
8.6
58
Not enough data
8.4
58
Not enough data
Cloud Deployment
9.1
54
Not enough data
9.0
55
Not enough data
Generative AI
8.9
29
Not enough data
9.0
29
Not enough data
Data Management
Not enough data
8.5
10
Not enough data
8.7
10
Not enough data
Feature Not Available
Data as a Service
Not enough data
7.5
10
Not enough data
8.2
10
Architecture
Not enough data
8.2
10
Not enough data
8.7
10
Database
8.7
202
Feature Not Available
8.9
208
Feature Not Available
9.3
209
Feature Not Available
Integrations
8.2
191
9.3
16
9.2
211
8.0
11
Platform
9.0
204
9.3
18
8.8
207
8.9
11
9.2
211
8.0
11
Processing
9.0
204
9.4
16
9.0
203
8.8
11
Data Transformation
8.8
210
Feature Not Available
9.0
217
9.3
23
Connectivity
8.6
193
8.7
21
9.2
216
Feature Not Available
9.0
208
9.0
22
9.2
216
9.0
24
Operations
8.4
214
7.2
24
8.8
209
7.2
24
8.6
198
7.9
26
8.6
196
7.7
20
9.3
211
7.1
20
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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 Dremio are categorized as Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Data Science and Machine Learning Platforms, and Data Governance
Dremio is categorized as Data as a Service (DaaS)
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
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
14.6%
Financial Services
11.8%
Computer Software
7.7%
Consulting
4.0%
Hospital & Health Care
3.9%
Other
58.0%
Financial Services
25.0%
Information Technology and Services
10.0%
Computer Software
8.3%
Automotive
5.0%
Oil & Energy
3.3%
Other
48.3%
Most Helpful Reviews
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Verified User in Airlines/Aviation
Too many customizations are needed to achieve the right mix of parameterization for optimal performance. On the other hand, snowflake provides lots of features out of the box without the developer worrying about these things.
Dremio
Most Helpful Favorable Review
Verified User in Financial Services
Apache Iceberg and Apache Arrow interoperability
Most Helpful Critical Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Verified User in Financial Services
Apache Iceberg and Apache Arrow interoperability
Verified User in Airlines/Aviation
Too many customizations are needed to achieve the right mix of parameterization for optimal performance. On the other hand, snowflake provides lots of features out of the box without the developer worrying about these things.
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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