Compare Hex and Sigma 
Featured Products
At a Glance
Market Segments
Mid-Market (60.9% of reviews)
Mid-Market (59.1% of reviews)
Entry-Level Pricing
Free Per Month
No pricing available
Hex
Star Rating
(372)4.5 out of 5
Market Segments
Mid-Market (60.9% of reviews)
Pros & Cons
Entry-Level Pricing
Free Per Month
Free Trial is available
Browse all 4 pricing plansSigma
Star Rating
(557)4.4 out of 5
Market Segments
Mid-Market (59.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about SigmaSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Sigma excels in user-friendly design, particularly with its spreadsheet-style interface that allows users to build prototypes easily, even without extensive database knowledge. This feature is highlighted by users who appreciate the ability to create complex calculations and visualizations simply by dragging columns.
- Users say that Hex stands out for its ease of use, especially with its prebuilt components that require minimal customization. Reviewers enjoy the notebook feature, which facilitates seamless data analysis and allows for deeper insights through various data slicing techniques.
- According to verified reviews, Sigma's integration capabilities are a significant advantage, with users noting the simplicity of incorporating it into applications via iframes or SDKs. This flexibility is complemented by custom plugins that enhance functionality without the need for extensive coding.
- Reviewers mention that Hex's direct connection to Snowflake is a major benefit, making data access straightforward and efficient. Users appreciate the ability to utilize SQL and Python for querying, which allows for granular analysis of data across different projects.
- G2 reviewers highlight Sigma's strong support quality, with a notable satisfaction score that reflects users' positive experiences with customer service. This is contrasted with Hex, where users have expressed a desire for improved support responsiveness.
- Users report that while both platforms cater well to mid-market needs, Sigma has a slight edge in overall satisfaction metrics, particularly in areas like dashboard prototyping and data visualization, where users find it easier to create and manage their reports effectively.
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
Sigma
No pricing availableFree Trial
Hex
Free Trial is available
Sigma
Free Trial is available
Ratings
Meets Requirements
8.5
293
8.6
441
Ease of Use
8.7
301
8.5
450
Ease of Setup
8.9
176
8.9
268
Ease of Admin
9.0
57
8.5
156
Quality of Support
8.5
215
9.1
394
Has the product been a good partner in doing business?
9.1
59
9.1
156
Product Direction (% positive)
9.3
296
9.3
428
Features by Category
Reports
8.3
220
8.6
293
|
Verified
7.6
207
8.4
282
|
Verified
7.4
226
8.4
301
|
Verified
7.2
192
8.4
266
|
Verified
8.1
213
8.8
293
|
Verified
Self Service
7.7
203
8.7
288
|
Verified
8.1
206
8.8
294
|
Verified
7.9
206
8.6
282
|
Verified
7.2
202
8.3
282
|
Verified
8.3
218
8.4
287
|
Verified
6.1
183
7.4
252
|
Verified
Advanced Analytics
6.5
185
7.3
248
7.8
209
8.5
293
|
Verified
7.0
190
8.3
268
|
Verified
Building Reports
8.0
185
8.1
111
|
Verified
7.8
180
7.8
111
|
Verified
7.5
175
8.2
99
|
Verified
7.0
165
7.7
94
|
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
220
8.6
293
|
Verified
7.6
207
8.4
282
|
Verified
7.4
226
8.4
301
|
Verified
7.2
192
8.4
266
|
Verified
8.1
213
8.8
293
|
Verified
Data Preparation
8.0
163
8.3
274
|
Verified
Feature Not Available
8.3
259
|
Verified
Data Modeling and Blending
8.7
171
8.5
291
|
Verified
8.3
169
8.6
294
|
Verified
8.3
163
8.4
276
|
Verified
Generative AI
6.1
96
Feature Not Available
6.0
93
Feature Not Available
Agentic AI - Analytics Platforms
6.5
33
7.6
31
6.3
29
7.7
31
6.9
30
7.8
30
6.4
28
7.5
31
7.0
35
8.0
32
6.4
29
7.2
31
7.1
28
7.6
31
Self Service
7.7
203
8.7
288
|
Verified
8.1
206
8.8
294
|
Verified
7.9
206
8.6
282
|
Verified
7.2
202
8.3
282
|
Verified
8.3
218
8.4
287
|
Verified
6.1
183
7.4
252
|
Verified
Deployment & Integration - Analytics Platforms
6.9
29
7.9
30
7.9
36
8.2
31
6.9
26
8.1
30
8.1
35
9.0
35
Advanced Analytics
6.5
185
7.3
248
7.8
209
8.5
293
|
Verified
7.0
190
8.3
268
|
Verified
Performance & Scalability - Analytics Platforms
6.5
39
8.0
37
7.1
31
8.6
29
Advanced Analytics & Modeling - Analytics Platforms
7.2
30
8.2
28
8.4
48
8.0
29
6.3
27
8.3
29
Agentic AI Capabilities - Analytics Platforms
6.8
28
7.7
28
7.5
34
7.8
29
6.7
27
7.8
28
6.7
28
7.8
26
Personalized Intelligence - Analytics Platforms
6.5
26
7.1
29
6.2
26
7.7
28
7.2
31
8.1
28
Building Reports
8.0
185
8.1
111
|
Verified
7.8
180
7.8
111
|
Verified
7.5
175
8.2
99
|
Verified
7.0
165
7.7
94
|
Verified
Reports
8.3
220
8.6
293
|
Verified
7.6
207
8.4
282
|
Verified
7.4
226
8.4
301
|
Verified
7.2
192
8.4
266
|
Verified
8.1
213
8.8
293
|
Verified
Self Service
7.7
203
8.7
288
|
Verified
8.1
206
8.8
294
|
Verified
7.9
206
8.6
282
|
Verified
7.2
202
8.3
282
|
Verified
8.3
218
8.4
287
|
Verified
6.1
183
7.4
252
|
Verified
Building Reports
8.0
185
8.1
111
|
Verified
7.8
180
7.8
111
|
Verified
7.5
175
8.2
99
|
Verified
7.0
165
7.7
94
|
Verified
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
8.1
92
Not enough data
Model Development
7.4
90
Not enough data
7.0
94
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
Categories
Categories
Shared Categories
Hex and Sigma 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
Sigma has no unique categories
Reviews
Reviewers' Company Size
Hex
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Sigma
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
22.1%
Information Technology and Services
19.2%
Financial Services
11.7%
Hospital & Health Care
4.2%
Marketing and Advertising
3.3%
Other
39.4%
Information Technology and Services
15.6%
Computer Software
11.4%
Financial Services
9.5%
Marketing and Advertising
4.8%
Consumer Services
4.6%
Other
54.2%
Discussions
Hex has no discussions with answers
What is the best way to use SQL queries that you previously had?
1 Comment
SH
One possible way to solve this would be to create Datasets with SQL - you can merely copy the SQL to form the new dataset.
Once you have created the...Read more
What is Sigma used for?
1 Comment
RS
Sigma is a cloud-based business intelligence (BI) and analytics platform. It's primarily used for data exploration, visualization, and building applications,...Read more
Sigma has no more discussions with answers
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