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Compare Hex and Mode 
Featured Products
At a Glance
Market Segments
Mid-Market (60.1% of reviews)
Mid-Market (46.4% of reviews)
Entry-Level Pricing
Free Per Month
Free All the basics for individual analysts
Hex
Star Rating
(336)4.5 out of 5
Market Segments
Mid-Market (60.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free Per Month
Free Trial is available
Browse all 4 pricing plansMode
Star Rating
(330)4.5 out of 5
Market Segments
Mid-Market (46.4% of reviews)
Pros & Cons
Entry-Level Pricing
Free All the basics for individual analysts
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Mode excels in providing a user-friendly experience for data analysts, with many praising its ability to quickly find and present information. Users appreciate how it allows for easy viewing of dashboards created by others and the flexibility to modify data queries to suit their needs.
- Users say that Hex stands out for its seamless integration with BigQuery, making data connections straightforward and efficient. The write-back function capability is also highlighted as a significant advantage, enhancing the overall user experience during data analysis.
- According to verified reviews, both Mode and Hex receive high marks for ease of use, but Mode's interface is often described as cleaner and more intuitive, which helps users navigate their data more effectively. This is particularly beneficial for those who may not have extensive technical backgrounds.
- Reviewers mention that while Hex offers impressive speed and efficiency in data access, Mode's ability to balance self-service exploration for business users with robust analytical capabilities is a key differentiator, making it a preferred choice for teams that require both functionalities.
- G2 reviewers highlight that Mode's strong support for data visualization tools, such as dashboards and charts, enhances its appeal, allowing users to create compelling reports easily. This feature is often cited as a reason for its popularity among data analysts.
- Users appreciate Hex's focus on custom report creation, which allows for a range of analyses from simple statistics to more complex data manipulations. This flexibility is particularly valued by data developers who need to combine engineering and analytical tasks seamlessly.
Pricing
Entry-Level Pricing
Hex
Community
Free
Per Month
The free version of Hex. Great for individuals.
- Up to 3 project authors
- 7-day project version history
- Project data connections & secrets
Mode
Studio
Free
All the basics for individual analysts
Included:
- SQL, Python, & R
- Private database connections
Free Trial
Hex
Free Trial is available
Mode
Free Trial is available
Ratings
Meets Requirements
8.5
277
8.7
285
Ease of Use
8.7
285
8.7
289
Ease of Setup
8.9
163
8.8
66
Ease of Admin
9.0
55
8.9
66
Quality of Support
8.5
203
8.9
215
Has the product been a good partner in doing business?
9.1
57
9.1
65
Product Direction (% positive)
9.3
281
8.8
283
Features by Category
Reports
8.3
215
8.7
212
|
Verified
7.6
202
8.1
167
|
Verified
7.4
222
8.3
215
|
Verified
7.2
192
8.2
135
|
Verified
8.1
211
8.6
206
|
Verified
Self Service
7.7
203
8.3
162
|
Verified
8.1
206
8.2
182
|
Verified
7.9
204
8.0
179
|
Verified
7.2
202
7.9
181
|
Verified
8.3
213
8.2
169
|
Verified
6.1
183
Feature Not Available
Advanced Analytics
6.5
185
7.8
116
|
Verified
7.8
207
8.7
192
|
Verified
7.0
189
8.4
130
|
Verified
Building Reports
8.0
185
8.5
84
|
Verified
7.8
180
8.3
88
|
Verified
7.5
175
7.7
64
|
Verified
7.0
164
8.2
57
|
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
8.3
215
8.7
212
|
Verified
7.6
202
8.1
167
|
Verified
7.4
222
8.3
215
|
Verified
7.2
192
8.2
135
|
Verified
8.1
211
8.6
206
|
Verified
Data Preparation
8.0
161
8.4
61
|
Verified
Feature Not Available
8.1
62
|
Verified
Data Modeling and Blending
8.7
171
9.3
96
|
Verified
8.3
169
8.7
93
|
Verified
8.3
162
8.8
70
|
Verified
Generative AI
6.1
95
Not enough data
6.0
93
Not enough data
Agentic AI - Analytics Platforms
6.2
30
Not enough data
6.3
29
Not enough data
6.8
29
Not enough data
6.4
28
Not enough data
6.6
30
Not enough data
6.3
28
Not enough data
7.0
27
Not enough data
Self Service
7.7
203
8.3
162
|
Verified
8.1
206
8.2
182
|
Verified
7.9
204
8.0
179
|
Verified
7.2
202
7.9
181
|
Verified
8.3
213
8.2
169
|
Verified
6.1
183
Feature Not Available
Deployment & Integration - Analytics Platforms
7.0
28
Not enough data
7.8
34
Not enough data
6.9
26
Not enough data
7.9
32
Not enough data
Advanced Analytics
6.5
185
7.8
116
|
Verified
7.8
207
8.7
192
|
Verified
7.0
189
8.4
130
|
Verified
Performance & Scalability - Analytics Platforms
6.9
35
Not enough data
7.2
30
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
7.1
29
Not enough data
8.3
42
Not enough data
6.3
27
Not enough data
Agentic AI Capabilities - Analytics Platforms
6.7
27
Not enough data
7.1
29
Not enough data
6.7
27
Not enough data
6.6
27
Not enough data
Personalized Intelligence - Analytics Platforms
6.5
26
Not enough data
6.2
26
Not enough data
7.0
28
Not enough data
Building Reports
8.0
185
8.5
84
|
Verified
7.8
180
8.3
88
|
Verified
7.5
175
7.7
64
|
Verified
7.0
164
8.2
57
|
Verified
Reports
8.3
215
8.7
212
|
Verified
7.6
202
8.1
167
|
Verified
7.4
222
8.3
215
|
Verified
7.2
192
8.2
135
|
Verified
8.1
211
8.6
206
|
Verified
Self Service
7.7
203
8.3
162
|
Verified
8.1
206
8.2
182
|
Verified
7.9
204
8.0
179
|
Verified
7.2
202
7.9
181
|
Verified
8.3
213
8.2
169
|
Verified
6.1
183
Feature Not Available
Building Reports
8.0
185
8.5
84
|
Verified
7.8
180
8.3
88
|
Verified
7.5
175
7.7
64
|
Verified
7.0
164
8.2
57
|
Verified
Metrics
Not enough data
9.1
32
Not enough data
9.1
34
Not enough data
8.3
29
Not enough data
8.8
31
Not enough data
8.9
31
Not enough data
8.7
33
Not enough data
8.6
25
Not enough data
8.6
33
Not enough data
8.6
36
Reporting
Not enough data
8.9
44
Not enough data
8.7
39
Not enough data
9.2
42
Not enough data
8.7
38
Not enough data
8.7
21
Not enough data
9.1
29
Not enough data
9.0
49
Other
Not enough data
8.8
39
Not enough data
8.1
29
Not enough data
8.3
31
Not enough data
8.6
32
Not enough data
8.6
27
Not enough data
8.3
23
Not enough data
8.5
27
Agentic AI - Digital Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
9.0
38
Not enough data
8.6
32
Not enough data
9.0
53
Not enough data
9.0
49
Functionality
8.7
63
Not enough data
6.9
56
Not enough data
7.5
48
Not enough data
7.4
54
Not enough data
8.8
58
Not enough data
7.5
57
Not enough data
7.9
52
Not enough data
System
8.0
91
Not enough data
Model Development
7.4
89
Not enough data
7.0
93
Not enough data
5.5
87
Not enough data
5.5
89
Not enough data
Model Development
5.9
79
Not enough data
Machine/Deep Learning Services
4.4
81
Not enough data
5.1
84
Not enough data
4.8
82
Not enough data
4.5
80
Not enough data
Machine/Deep Learning Services
5.1
69
Not enough data
5.0
70
Not enough data
Deployment
6.9
85
Not enough data
7.0
84
Not enough data
6.7
85
Not enough data
Generative AI
5.7
40
Not enough data
5.7
40
Not enough data
4.3
40
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
5.3
10
Not enough data
5.7
10
Not enough data
7.0
10
Not enough data
4.7
10
Not enough data
6.1
11
Not enough data
5.8
10
Not enough data
5.7
10
Not enough data
Marketing Operations
Not enough data
8.9
31
|
Verified
Not enough data
8.3
35
|
Verified
Not enough data
8.5
36
|
Verified
Not enough data
8.8
37
|
Verified
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Campaign Activity
Not enough data
8.7
38
|
Verified
Not enough data
9.1
42
|
Verified
Not enough data
8.3
29
|
Verified
Not enough data
8.3
34
|
Verified
Not enough data
8.5
28
|
Verified
Not enough data
8.9
19
|
Verified
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Hex and Mode are categorized as Embedded Business Intelligence and Analytics Platforms
Unique Categories
Hex is categorized as Python Integrated Development Environments (IDE) and Data Science and Machine Learning Platforms
Mode is categorized as Marketing Analytics and Digital Analytics
Reviews
Reviewers' Company Size
Hex
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Mode
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
Computer Software
21.3%
Information Technology and Services
20.3%
Financial Services
11.7%
Hospital & Health Care
4.5%
Marketing and Advertising
3.4%
Other
38.8%
Information Technology and Services
14.1%
Computer Software
13.8%
Financial Services
7.5%
Internet
6.6%
Transportation/Trucking/Railroad
4.4%
Other
53.6%
Discussions
Hex has no discussions with answers
How do i average on charts without averaging averages
2 Comments
GS
Create averages in the query and use the results in the chartsRead more
Why do companies choose Mode over Looker?
1 Comment
Official Response from Mode
Put simply, data teams move faster in Mode. In Looker, teams have to decide upfront how to model their data, instead of working with data first and then...Read more
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