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Compare Datarails and Workday Adaptive Planning 
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At a Glance
Market Segments
Mid-Market (72.4% of reviews)
Mid-Market (58.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Datarails
Star Rating
(251)4.6 out of 5
Market Segments
Mid-Market (72.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatarailsWorkday Adaptive Planning
Star Rating
(299)4.3 out of 5
Market Segments
Mid-Market (58.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Workday Adaptive PlanningSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Workday Adaptive Planning excels in its versioning capabilities, scoring 9.3, which allows for effective tracking of budget changes over time. In contrast, Datarails, while still strong, scores lower at 8.7, indicating that users may find it less robust for managing multiple budget iterations.
- Reviewers mention that Datarails shines in data visualization, achieving a score of 9.2, which enhances the user experience by providing clear and insightful graphical representations of data. Workday Adaptive Planning, on the other hand, scores 7.6 in this area, suggesting that its visualization features may not be as intuitive or comprehensive.
- G2 users highlight that Datarails offers superior custom reporting features, with a score of 9.5, allowing users to tailor reports to their specific needs. Workday Adaptive Planning scores 8.0, indicating that while it has reporting capabilities, they may not be as flexible or user-friendly as those in Datarails.
- Users on G2 report that Workday Adaptive Planning has a strong focus on budget creation, particularly in data import with a score of 8.3, which facilitates the integration of various data sources. Datarails, however, scores higher at 9.0, suggesting a more seamless experience in importing data for budgeting purposes.
- Reviewers mention that Datarails provides excellent quality of support, scoring 9.5, which is significantly higher than Workday Adaptive Planning's score of 8.1. This indicates that users may find Datarails more responsive and helpful when issues arise.
- Users say that Workday Adaptive Planning's ease of setup is rated at 7.3, which some find challenging compared to Datarails' score of 7.7. This slight difference suggests that users may experience a smoother onboarding process with Datarails.
Pricing
Entry-Level Pricing
Datarails
No pricing availableWorkday Adaptive Planning
No pricing availableFree Trial
Datarails
No trial information availableWorkday Adaptive Planning
Free Trial is available
Ratings
Meets Requirements
8.8
221
8.4
259
Ease of Use
8.0
228
8.1
263
Ease of Setup
7.6
189
7.3
152
Ease of Admin
8.3
144
8.0
153
Quality of Support
9.3
218
8.1
235
Has the product been a good partner in doing business?
9.2
144
8.5
152
Product Direction (% positive)
9.4
226
8.8
259
Features by Category
Budget Creation
9.0
148
8.4
21
8.4
134
8.3
20
8.8
133
9.1
20
8.5
143
7.9
21
7.8
111
7.7
21
8.6
137
8.8
21
Budget Management
8.7
139
8.0
20
8.3
126
7.8
20
7.9
120
7.4
19
Forecasting
8.8
135
8.1
19
8.2
126
8.2
19
8.3
124
8.2
19
8.2
123
8.3
19
6.7
87
6.2
18
Analytics
8.4
135
7.6
19
8.4
127
8.5
19
8.2
117
8.2
19
Agentic AI - Budgeting and Forecasting
7.1
32
Not enough data
7.0
32
Not enough data
7.3
33
Not enough data
Data Management
9.0
159
Not enough data
9.0
158
Not enough data
8.5
155
Not enough data
Reporting Structure
8.5
138
Not enough data
8.1
144
Not enough data
8.3
146
Not enough data
Standard Analytics
8.3
134
Not enough data
8.2
143
Not enough data
8.6
148
Not enough data
8.9
153
Not enough data
Custom Analytics
8.4
149
Not enough data
8.4
133
Not enough data
8.8
147
Not enough data
8.2
147
Not enough data
8.5
99
Not enough data
Agentic AI - Financial Analysis
7.1
26
Not enough data
7.0
26
Not enough data
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
8.8
75
|
Verified
Not enough data
8.7
74
|
Verified
Not enough data
8.8
34
Not enough data
Reporting
8.4
77
|
Verified
Not enough data
8.1
78
|
Verified
Not enough data
8.4
76
|
Verified
Not enough data
Closing Process
7.6
61
|
Verified
Not enough data
7.0
60
|
Verified
Not enough data
7.8
62
|
Verified
Not enough data
AI - Financial Close
6.1
11
Not enough data
6.4
11
Not enough data
6.2
11
Not enough data
6.3
10
Not enough data
5.9
11
Not enough data
Financial Planning
8.0
78
|
Verified
7.9
71
|
Verified
8.8
86
|
Verified
8.0
87
|
Verified
8.7
85
|
Verified
7.3
83
|
Verified
Agentic AI - FP&A (Financial Planning & Analysis)
6.7
27
Not enough data
7.0
27
Not enough data
Financial Insight
8.2
92
|
Verified
8.7
152
|
Verified
8.0
92
|
Verified
8.5
152
|
Verified
8.0
91
|
Verified
8.5
152
|
Verified
Data
8.7
96
|
Verified
7.5
114
|
Verified
8.7
99
|
Verified
7.8
127
|
Verified
9.1
98
|
Verified
8.0
145
|
Verified
8.2
93
|
Verified
7.6
129
|
Verified
Status Communication
8.3
92
|
Verified
8.0
130
|
Verified
9.1
93
|
Verified
8.6
146
|
Verified
9.0
97
|
Verified
8.3
134
|
Verified
8.0
29
7.4
88
|
Verified
Environmental, Social, and Governance (ESG) ReportingHide 20 FeaturesShow 20 Features
Not enough data
7.3
12
Data Collection
Not enough data
7.6
11
Not enough data
8.2
11
Not enough data
6.9
8
Reporting
Not enough data
7.7
10
Not enough data
6.7
8
Not enough data
7.1
8
Integration
Not enough data
7.7
8
Not enough data
7.2
12
Not enough data
7.5
8
Risk Management - Environmental, Social, and Governance (ESG) Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting - Environmental, Social, and Governance (ESG) Reporting
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 - Environmental, Social, and Governance (ESG) Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Resource Planning - Workforce Planning
Not enough data
7.5
10
Not enough data
9.1
11
Not enough data
8.9
11
Not enough data
8.9
11
Human Resources - Workforce Planning
Not enough data
8.3
11
Not enough data
7.9
11
Not enough data
7.0
10
Not enough data
7.0
10
Reconciliation - Financial Reconciliation
9.0
5
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
Sales Performance Features - Sales Planning
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
Territory Management - Sales Planning
Not enough data
Not enough data
Not enough data
Not enough data
Quota & Capacity Management - Sales Planning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Sales Planning
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Categories
Categories
Shared Categories
Datarails and Workday Adaptive Planning are categorized as Budgeting and Forecasting and FP&A (Financial Planning & Analysis)
Unique Categories
Datarails is categorized as Financial Analysis, Financial Close, Cash Flow Management, and Financial Reconciliation
Workday Adaptive Planning is categorized as Environmental, Social, and Governance (ESG) Reporting, Sales Planning, and Workforce Planning
Reviews
Reviewers' Company Size
Datarails
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Workday Adaptive Planning
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
Financial Services
7.7%
Hospital & Health Care
6.9%
Manufacturing
5.7%
Oil & Energy
4.5%
Accounting
4.1%
Other
71.1%
Computer Software
15.8%
Information Technology and Services
9.3%
Financial Services
7.6%
Non-Profit Organization Management
5.2%
Hospital & Health Care
5.2%
Other
57.0%
Discussions
Datarails has no discussions with answers
Does workday do workforce planning?
1 Comment
GS
Not to my knowledge, we use teleopti for workforce planningRead more
Workday Adaptive Planning has no more discussions with answers
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