Introducing G2.ai, the future of software buying.Try now
Compare Cube and Datarails 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Aleph
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Solvexia
Visit Website
At a Glance
Market Segments
Mid-Market (79.5% of reviews)
Mid-Market (72.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Cube
Star Rating
(122)4.5 out of 5
Market Segments
Mid-Market (79.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about CubeDatarails
Star Rating
(242)4.6 out of 5
Market Segments
Mid-Market (72.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about DatarailsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Datarails excels in data visualization, achieving a score of 9.2, while Cube Software struggles significantly in this area with a score of only 6.8. Reviewers mention that Datarails provides intuitive and visually appealing dashboards that enhance data comprehension.
- Reviewers mention that Datarails offers superior data import capabilities, scoring 9.1 compared to Cube Software's 8.3. Users say that Datarails allows for seamless integration of various data sources, making it easier to consolidate financial information.
- G2 users highlight Datarails' strong performance in quality of support, with a score of 9.5, while Cube Software follows closely with 9.2. Users report that Datarails' support team is responsive and knowledgeable, which significantly enhances the user experience.
- Users on G2 indicate that Cube Software shines in ease of setup, scoring 8.8 compared to Datarails' 7.7. Reviewers mention that Cube Software's straightforward onboarding process allows users to get started quickly without extensive training.
- Reviewers mention that Datarails provides robust budgeting features, particularly in budget hierarchies (8.3) and versioning (8.7), while Cube Software scores slightly higher in budget hierarchies (8.5) but falls short in versioning (8.6). Users say that Datarails' versioning capabilities allow for better tracking of budget changes over time.
- Users report that Cube Software excels in financial planning, particularly in forecasting (8.8) and planning (9.0), compared to Datarails' scores of 8.3 and 8.2 respectively. Reviewers mention that Cube Software's forecasting tools are particularly effective for long-term financial strategies.
Pricing
Entry-Level Pricing
Cube
No pricing availableDatarails
No pricing availableFree Trial
Cube
Free Trial is available
Datarails
No trial information availableRatings
Meets Requirements
8.5
98
8.8
215
Ease of Use
8.9
98
8.0
222
Ease of Setup
8.7
51
7.6
184
Ease of Admin
9.1
46
8.3
141
Quality of Support
9.1
97
9.3
212
Has the product been a good partner in doing business?
9.3
48
9.2
142
Product Direction (% positive)
8.8
91
9.4
220
Features by Category
Budget Creation
8.2
62
9.0
145
8.6
57
8.4
131
8.6
59
8.8
131
8.2
61
8.5
141
7.9
47
7.8
109
8.8
56
8.7
135
Budget Management
8.7
50
8.7
136
8.2
49
8.3
124
8.1
43
7.9
118
Forecasting
8.8
56
8.8
133
8.9
48
8.2
124
8.6
48
8.3
122
8.4
49
8.2
121
7.7
10
6.7
85
Analytics
8.7
58
8.3
133
8.7
53
8.4
125
8.5
49
8.2
115
Agentic AI - Budgeting and Forecasting
Not enough data
7.2
31
Not enough data
7.2
31
Not enough data
7.3
31
Data Management
8.3
59
9.0
156
8.8
53
9.0
154
8.5
55
8.5
152
Reporting Structure
8.7
50
8.5
136
8.1
49
8.1
142
8.3
46
8.3
144
Standard Analytics
8.1
42
8.3
132
8.0
46
8.2
141
8.6
56
8.6
146
8.4
59
8.9
151
Custom Analytics
6.6
50
8.4
147
7.5
50
8.4
131
8.6
54
8.8
144
8.7
53
8.2
145
8.3
10
8.6
97
Agentic AI - Financial Analysis
Not enough data
7.2
24
Not enough data
7.1
25
Cash Flow Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cash Flow Forecasting
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Financial Data Transfer
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
Agentic AI - Cash Flow Management
Not enough data
Not enough data
Reconciliation
9.1
32
8.8
73
|
Verified
9.1
31
8.8
72
|
Verified
8.6
25
8.8
34
Reporting
9.1
33
8.4
75
|
Verified
8.8
30
8.0
76
|
Verified
9.1
32
8.4
74
|
Verified
Closing Process
8.8
18
7.6
59
|
Verified
8.3
18
7.0
58
|
Verified
9.0
24
7.8
60
|
Verified
AI - Financial Close
Not enough data
6.3
10
Not enough data
6.7
10
Not enough data
6.5
10
Not enough data
6.7
9
Not enough data
6.2
10
Financial Planning
8.8
12
8.0
77
|
Verified
9.1
18
8.8
85
|
Verified
8.2
16
8.7
84
|
Verified
Agentic AI - FP&A (Financial Planning & Analysis)
Not enough data
6.9
26
Not enough data
7.2
26
Financial Insight
9.4
18
8.2
88
|
Verified
8.9
18
7.9
90
|
Verified
9.1
19
8.0
89
|
Verified
Data
6.9
18
8.7
92
|
Verified
8.3
19
8.7
94
|
Verified
9.3
20
9.1
93
|
Verified
8.4
19
8.2
91
|
Verified
Status Communication
8.4
20
8.3
89
|
Verified
9.4
18
9.1
89
|
Verified
7.9
16
9.0
93
|
Verified
7.8
12
8.0
29
Reconciliation - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Audit - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
User Permissions and Security - Financial Reconciliation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Financial Reconciliation
Not enough data
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Categories
Categories
Shared Categories
Cube and Datarails are categorized as Financial Close, FP&A (Financial Planning & Analysis), Budgeting and Forecasting, and Financial Analysis
Unique Categories
Cube has no unique categories
Datarails is categorized as Cash Flow Management and Financial Reconciliation
Reviews
Reviewers' Company Size
Cube
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Datarails
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
13.1%
Computer Software
12.3%
Financial Services
9.8%
Marketing and Advertising
4.1%
Health, Wellness and Fitness
4.1%
Other
56.6%
Financial Services
7.5%
Hospital & Health Care
7.1%
Manufacturing
5.4%
Oil & Energy
4.6%
Accounting
4.2%
Other
71.3%
Discussions
Cube has no discussions with answers
Datarails has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
