Compare Cube and Datarails 
At a Glance
Market Segments
Mid-Market (80.2% of reviews)
Mid-Market (73.2% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Cube
Star Rating
(126)4.5 out of 5
Market Segments
Mid-Market (80.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about CubeDatarails
Star Rating
(305)4.6 out of 5
Market Segments
Mid-Market (73.2% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Datarails excels in financial reporting and analysis, with users highlighting its ability to streamline complex financial processes and integrate seamlessly with Excel. This has made budget seasons significantly smoother for many organizations.
- Users say that Cube offers a thoughtful and intuitive interface, making it easier to build dashboards that quickly display KPIs and value drivers. This flexibility has been noted as a game changer for FP&A functions, particularly in month-end close processes.
- According to verified reviews, Datarails has a higher overall satisfaction score, reflecting its strong performance in budgeting and financial analysis. Users appreciate the platform's comprehensive features that support complex financial modeling.
- Reviewers mention that while Cube has a slightly higher ease of use rating, Datarails is praised for its robust support and quick resolution of issues, which can be crucial during critical financial periods.
- Users highlight that Cube's implementation process is notably efficient, with many praising their implementation manager for providing exceptional support. This has helped users navigate the learning curve more effectively.
- G2 reviewers indicate that Datarails shines in data consolidation and validation, with users noting its ability to handle complex multi-layered business structures, while Cube is recognized for its strong budgeting and forecasting capabilities.
Pricing
Entry-Level Pricing
Cube
No pricing availableDatarails
Datarails FP&A Premium
Contact Us
- FinanceOS FP&A
- 5 users
- 2 integrations
Free Trial
Cube
No trial information availableDatarails
No trial information availableRatings
Meets Requirements
8.4
102
8.7
273
Ease of Use
8.9
102
8.0
280
Ease of Setup
8.5
55
7.6
239
Ease of Admin
9.0
47
8.2
173
Quality of Support
9.1
101
9.3
267
Has the product been a good partner in doing business?
9.3
49
9.2
172
Product Direction (% positive)
8.9
95
9.5
278
Features by Category
Budget Creation
8.2
63
9.0
166
8.6
57
8.5
136
8.6
59
8.9
139
8.1
62
8.5
152
8.0
48
7.9
116
8.8
56
8.7
139
Budget Management
8.7
50
8.8
156
8.2
49
8.3
129
8.1
43
8.0
125
Forecasting
8.8
56
8.8
139
8.9
48
8.2
127
8.6
48
8.3
125
8.4
49
8.2
124
7.7
10
6.7
89
Analytics
8.8
59
8.4
142
8.7
53
8.4
128
8.5
49
8.2
118
Agentic AI - Budgeting and Forecasting
Not enough data
7.1
33
Not enough data
7.1
33
Not enough data
7.4
35
Data Management
8.3
60
9.1
164
8.8
54
9.0
169
8.5
55
8.6
158
Reporting Structure
8.7
50
8.5
140
8.1
49
8.1
147
8.3
46
8.4
148
Standard Analytics
8.1
42
8.3
136
8.0
46
8.3
145
8.6
56
8.7
152
8.4
60
8.9
158
Custom Analytics
6.6
50
8.4
156
7.5
50
8.4
135
8.6
54
8.8
152
8.7
53
8.2
148
8.3
10
8.6
103
Agentic AI - Financial Analysis
Not enough data
7.4
30
Not enough data
7.1
28
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
8.7
5
Agentic AI - Cash Flow Management
Not enough data
Not enough data
Reconciliation
9.1
32
8.9
77
|
Verified
9.1
31
8.7
74
|
Verified
8.6
25
8.8
34
Reporting
9.1
33
8.4
78
|
Verified
8.8
30
8.1
79
|
Verified
9.1
32
8.4
79
|
Verified
Closing Process
8.8
18
7.6
61
|
Verified
8.3
18
7.0
60
|
Verified
9.0
24
7.8
63
|
Verified
AI - Financial Close
Not enough data
6.1
11
Not enough data
6.4
11
Not enough data
6.2
11
Not enough data
6.7
11
Not enough data
6.3
12
Financial Planning
8.8
12
8.0
79
|
Verified
9.1
19
8.8
87
|
Verified
8.3
17
8.7
89
|
Verified
Agentic AI - FP&A (Financial Planning & Analysis)
Not enough data
6.8
28
Not enough data
7.2
29
Financial Insight
9.4
19
8.2
95
|
Verified
9.0
20
8.0
94
|
Verified
9.2
21
8.0
94
|
Verified
Data
7.2
20
8.7
102
|
Verified
8.5
21
8.8
103
|
Verified
9.4
22
9.1
109
|
Verified
8.4
19
8.3
100
|
Verified
Status Communication
8.4
20
8.3
94
|
Verified
9.4
19
9.1
95
|
Verified
7.9
16
9.0
100
|
Verified
7.8
12
8.2
32
Reconciliation - Financial Reconciliation
Not enough data
9.2
6
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
9.7
5
Not enough data
Not enough data
Not enough data
10.0
5
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 FP&A (Financial Planning & Analysis), Financial Close, 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
Computer Software
12.7%
Information Technology and Services
12.7%
Financial Services
9.5%
Consumer Goods
4.0%
Health, Wellness and Fitness
4.0%
Other
57.1%
Financial Services
7.7%
Hospital & Health Care
6.7%
Manufacturing
5.0%
Construction
5.0%
Accounting
4.7%
Other
70.8%
Discussions
Cube has no discussions with answers
Datarails has no discussions with answers
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