Compare Databricks and Domo 
At a Glance
Market Segments
Enterprise (45.1% of reviews)
Mid-Market (54.0% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
Databricks
Star Rating
(712)4.6 out of 5
Market Segments
Enterprise (45.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksDomo
Star Rating
(997)4.3 out of 5
Market Segments
Mid-Market (54.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial
Free Trial is available
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Domo excels in providing an all-in-one platform for data management, with users appreciating its ability to connect data from various sources, perform ETL processes, and visualize data seamlessly. One user highlighted that "everything—from connection to ETL to visualization—is available on a single platform."
- Users say that Databricks Data Intelligence Platform stands out for its advanced integration of AI within its data lakehouse architecture. Reviewers noted that this feature significantly enhances data analytics and fast calculations, making it a preferred choice for those looking for cutting-edge technology.
- According to verified reviews, Domo is praised for its user-friendly interface, making it accessible for both creators and end-users. Users mentioned that it is "very easy to use," which can be a crucial factor for teams with varying levels of technical expertise.
- Reviewers mention that Databricks offers robust cloud integration capabilities, particularly with platforms like AWS and Azure. This flexibility allows users to leverage their existing cloud infrastructure effectively, which is a significant advantage for enterprises looking to scale their data operations.
- G2 reviewers highlight that while Domo has a strong presence in the mid-market segment, it may not fully meet the complex needs of larger enterprises. Some users expressed challenges in customization and scalability, which could be a concern for organizations with extensive data requirements.
- Users report that Databricks is particularly effective for data engineering tasks, with its unified platform enabling seamless collaboration and integration with external tools like Power BI for reporting. This capability is often cited as a key reason for its adoption among data professionals.
Pricing
Entry-Level Pricing
Databricks
No pricing availableDomo
Free
Free Trial
Try out the Domo platform for 30 days. No credit card required.
- Full Platform
- Unlimited users
- Onboarding support
Free Trial
Databricks
Free Trial is available
Domo
Free Trial is available
Ratings
Meets Requirements
8.9
567
8.4
855
Ease of Use
8.9
578
8.3
871
Ease of Setup
8.7
450
7.8
554
Ease of Admin
8.3
181
8.1
471
Quality of Support
8.7
542
8.1
744
Has the product been a good partner in doing business?
8.9
185
8.8
469
Product Direction (% positive)
9.6
555
8.6
850
Features by Category
Reports
8.2
11
8.5
666
|
Verified
7.4
9
7.9
602
|
Verified
8.3
11
8.8
666
|
Verified
8.0
9
8.3
590
|
Verified
8.9
14
8.7
662
|
Verified
Self Service
7.7
10
8.2
602
|
Verified
7.7
10
8.3
613
|
Verified
8.5
11
8.1
578
|
Verified
8.1
12
7.8
583
|
Verified
8.2
11
7.9
569
|
Verified
7.9
8
7.0
467
Advanced Analytics
8.3
11
6.8
440
|
Verified
8.2
11
8.7
620
|
Verified
9.0
12
8.0
473
|
Verified
Building Reports
9.0
148
8.5
443
|
Verified
8.6
143
8.1
317
7.6
123
8.0
335
|
Verified
8.4
144
7.9
384
|
Verified
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
8.5
666
|
Verified
7.4
9
7.9
602
|
Verified
8.3
11
8.8
666
|
Verified
8.0
9
8.3
590
|
Verified
8.9
14
8.7
662
|
Verified
Reports
Not enough data
8.6
25
Not enough data
8.8
23
Not enough data
8.3
22
Generative AI
Not enough data
7.5
17
Not enough data
7.5
17
Visualization
Not enough data
8.5
24
Not enough data
8.3
23
Not enough data
8.3
24
Not enough data
8.6
22
Data Updates
Not enough data
8.3
21
Not enough data
9.0
21
Collaboration
Not enough data
8.5
21
Not enough data
8.3
21
Not enough data
8.5
21
Data Updates
Not enough data
8.5
25
Not enough data
8.7
26
Not enough data
7.9
27
Reports
8.2
11
8.5
666
|
Verified
7.4
9
7.9
602
|
Verified
8.3
11
8.8
666
|
Verified
8.0
9
8.3
590
|
Verified
8.9
14
8.7
662
|
Verified
Data Preparation
8.9
6
8.3
263
|
Verified
8.8
7
8.0
256
|
Verified
Data Modeling and Blending
9.0
8
8.2
260
|
Verified
8.8
7
8.4
259
|
Verified
8.8
8
8.4
254
|
Verified
Generative AI
9.1
9
6.5
146
9.2
6
6.4
146
Agentic AI - Analytics Platforms
9.3
7
7.1
51
8.7
5
7.1
51
8.3
6
7.4
51
8.3
6
7.2
50
8.3
7
7.1
50
9.7
6
7.0
49
9.3
5
7.2
51
Self Service
7.7
10
8.2
602
|
Verified
7.7
10
8.3
613
|
Verified
8.5
11
8.1
578
|
Verified
8.1
12
7.8
583
|
Verified
8.2
11
7.9
569
|
Verified
7.9
8
7.0
467
Deployment & Integration - Analytics Platforms
8.1
7
8.2
58
9.2
8
8.2
57
8.6
6
8.0
50
9.2
6
8.4
54
Advanced Analytics
8.3
11
6.8
440
|
Verified
8.2
11
8.7
620
|
Verified
9.0
12
8.0
473
|
Verified
Performance & Scalability - Analytics Platforms
8.8
7
8.1
54
Not enough data
8.2
52
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
7.8
50
8.5
8
7.8
50
8.6
6
7.4
49
Agentic AI Capabilities - Analytics Platforms
8.6
7
7.0
48
8.8
7
7.1
47
8.9
6
7.5
49
8.6
7
6.9
48
Personalized Intelligence - Analytics Platforms
9.2
6
6.9
48
7.9
8
6.9
48
8.3
7
6.9
48
Building Reports
9.0
148
8.5
443
|
Verified
8.6
143
8.1
317
7.6
123
8.0
335
|
Verified
8.4
144
7.9
384
|
Verified
Reports
8.2
11
8.5
666
|
Verified
7.4
9
7.9
602
|
Verified
8.3
11
8.8
666
|
Verified
8.0
9
8.3
590
|
Verified
8.9
14
8.7
662
|
Verified
Self Service
7.7
10
8.2
602
|
Verified
7.7
10
8.3
613
|
Verified
8.5
11
8.1
578
|
Verified
8.1
12
7.8
583
|
Verified
8.2
11
7.9
569
|
Verified
7.9
8
7.0
467
Building Reports
9.0
148
8.5
443
|
Verified
8.6
143
8.1
317
7.6
123
8.0
335
|
Verified
8.4
144
7.9
384
|
Verified
Data Source Access
Not enough data
8.6
37
Not enough data
8.6
37
Not enough data
8.0
35
Data Interaction
Not enough data
7.6
32
Not enough data
7.1
32
Not enough data
7.5
31
Not enough data
8.9
33
Not enough data
8.8
32
Not enough data
8.0
33
Not enough data
8.3
33
Not enough data
8.0
33
Data Exporting
Not enough data
8.2
35
Not enough data
8.1
34
Not enough data
8.1
33
Generative AI
Not enough data
6.3
27
Administration
8.8
99
7.8
29
8.6
93
7.3
30
9.0
94
7.7
30
8.7
97
8.6
30
Management
8.4
87
6.8
24
8.6
86
6.7
25
8.6
87
6.7
24
8.5
87
8.2
25
8.8
86
8.2
25
Compliance
8.8
98
8.0
29
8.7
92
7.7
29
8.9
94
7.9
30
8.7
94
7.8
29
Security
9.0
86
8.3
26
8.9
85
7.9
26
8.8
86
7.8
25
Data Quality
9.0
94
8.3
28
8.7
93
8.5
26
9.0
93
8.5
28
Maintainence
8.7
85
7.4
25
8.8
83
7.5
24
Generative AI
8.4
82
6.5
25
8.5
81
6.2
25
Agentic AI - Data Governance
8.5
10
6.9
16
8.8
11
7.1
16
9.0
14
7.1
15
8.5
12
7.1
15
9.0
12
6.8
15
9.0
13
7.2
16
Management
8.6
171
8.4
41
8.5
164
7.2
39
Functionality
9.1
172
8.0
40
9.2
174
8.4
40
9.1
172
7.8
39
9.0
167
8.5
41
9.1
167
7.9
38
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
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
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
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
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
180
7.6
20
Model Development
8.8
182
7.5
24
7.9
187
7.7
24
8.3
186
6.3
24
8.7
190
Feature Not Available
Model Development
8.5
172
6.3
19
Machine/Deep Learning Services
8.2
174
Feature Not Available
8.5
180
6.2
22
8.3
172
6.2
22
8.2
172
Feature Not Available
Machine/Deep Learning Services
8.4
158
5.8
18
8.4
160
5.8
18
Deployment
8.5
178
6.6
22
8.7
180
6.4
23
9.0
187
7.0
24
Generative AI
8.2
86
6.0
12
8.4
87
4.3
12
7.6
86
4.0
10
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
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
177
|
Verified
Not enough data
Security
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
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
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
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
Data Connectivity and Prep - Agentic Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Autonomous Insight Generation - Agentic Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Interaction and Workflow - Agentic Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
AI Agent Management - Agentic Analytics
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
236
Not enough data
8.9
243
Not enough data
9.3
256
Not enough data
Integrations
8.3
220
Not enough data
9.1
256
Not enough data
Platform
9.0
246
Not enough data
8.8
246
Not enough data
9.1
256
Not enough data
Processing
9.0
242
Not enough data
9.0
242
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
232
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
229
Not enough data
Building Reports
9.0
148
8.5
443
|
Verified
8.6
143
8.1
317
7.6
123
8.0
335
|
Verified
8.4
144
7.9
384
|
Verified
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 Domo are categorized as Data Governance, ETL Tools, Data Science and Machine Learning Platforms, Analytics Platforms, and AI Agent Builders
Unique Categories
Databricks is categorized as DataOps Platforms, MLOps Platforms, Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, Database Management Systems (DBMS), Generative AI Infrastructure, and AI Gateways
Domo is categorized as Data Preparation, Embedded Business Intelligence, Data Visualization, and Agentic Analytics
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Domo
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
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
Computer Software
9.3%
Marketing and Advertising
7.2%
Information Technology and Services
6.0%
Hospital & Health Care
5.4%
Financial Services
4.6%
Other
67.4%
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?
4 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 Domo used for?
1 Comment
CD
<p>Domo is used for business intelligence and data analytics.</p>Read more
What is Domo?
1 Comment
AM
Domo is a fully managed Analytics platform hosted on the cloud. It comes with 700+ pre-configured API connectors to various applications in the cloud or On...Read more
Domo has no more discussions with answers
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