Compare Datarails and Workday Adaptive Planning 
At a Glance
Market Segments
Mid-Market (73.3% of reviews)
Mid-Market (58.5% of reviews)
Entry-Level Pricing
Contact Us
No pricing available
Datarails
Star Rating
(309)4.6 out of 5
Market Segments
Mid-Market (73.3% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansWorkday Adaptive Planning
Star Rating
(303)4.3 out of 5
Market Segments
Mid-Market (58.5% 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.
- G2 reviewers report that Datarails excels in customer support, with users highlighting the quick resolution of issues and helpful team interactions. This contrasts with Workday Adaptive Planning, where some users have expressed a desire for improved support responsiveness.
- Users say that Datarails offers a more streamlined experience for financial reporting and analysis, making budget seasons smoother. In comparison, while Workday Adaptive Planning is praised for its flexibility and user-friendliness, some users find it less intuitive for complex reporting tasks.
- Reviewers mention that Workday Adaptive Planning provides excellent structure and transparency in financial planning, making it easier to build and update budgets and forecasts. However, Datarails users appreciate its ability to consolidate complex business models, which can be a significant advantage for larger organizations.
- According to verified reviews, both platforms are user-friendly, but Datarails has a slight edge in ease of setup. Users found Datarails straightforward to get started with, while some Workday Adaptive Planning users noted that initial configuration could be more challenging.
- G2 reviewers highlight that Datarails integrates seamlessly with Excel, enhancing its usability for teams already familiar with that tool. In contrast, while Workday Adaptive Planning is recognized for its real-time reporting capabilities, some users feel it could benefit from better integration options.
- Users report that both platforms are effective for budgeting and forecasting, but Datarails has received higher satisfaction ratings in this area. Workday Adaptive Planning is appreciated for its flexibility, yet Datarails users find it more efficient for managing complex financial scenarios.
Pricing
Entry-Level Pricing
Datarails
Datarails FP&A Premium
Contact Us
- FinanceOS FP&A
- 5 users
- 2 integrations
Workday Adaptive Planning
No pricing availableFree Trial
Datarails
No trial information availableWorkday Adaptive Planning
Free Trial is available
Ratings
Meets Requirements
8.7
278
8.4
263
Ease of Use
8.0
285
8.1
267
Ease of Setup
7.6
244
7.4
155
Ease of Admin
8.2
175
8.0
153
Quality of Support
9.3
271
8.1
239
Has the product been a good partner in doing business?
9.2
174
8.5
152
Product Direction (% positive)
9.5
282
8.8
263
Features by Category
Budget Creation
9.1
169
8.4
21
8.5
136
8.3
20
8.9
140
9.1
20
8.5
153
7.9
21
7.8
117
7.7
21
8.7
139
8.8
21
Budget Management
8.8
157
8.1
21
8.3
129
7.8
20
8.0
125
7.4
19
Forecasting
8.8
141
8.1
19
8.2
127
8.2
19
8.3
125
8.2
19
8.2
124
8.3
19
6.7
89
6.2
18
Analytics
8.4
142
7.6
19
8.4
128
8.5
19
8.2
118
8.2
19
Agentic AI - Budgeting and Forecasting
7.1
33
Not enough data
7.1
33
Not enough data
7.4
35
Not enough data
Data Management
9.1
164
Not enough data
9.0
169
Not enough data
8.6
158
Not enough data
Reporting Structure
8.5
140
Not enough data
8.1
147
Not enough data
8.4
148
Not enough data
Standard Analytics
8.3
136
Not enough data
8.3
145
Not enough data
8.7
152
Not enough data
8.9
158
Not enough data
Custom Analytics
8.4
156
Not enough data
8.4
135
Not enough data
8.8
152
Not enough data
8.2
148
Not enough data
8.6
103
Not enough data
Agentic AI - Financial Analysis
7.4
30
Not enough data
7.1
28
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
8.7
5
Not enough data
Agentic AI - Cash Flow Management
Not enough data
Not enough data
Reconciliation
8.9
77
|
Verified
Not enough data
8.7
74
|
Verified
Not enough data
8.8
34
Not enough data
Reporting
8.4
78
|
Verified
Not enough data
8.1
79
|
Verified
Not enough data
8.4
79
|
Verified
Not enough data
Closing Process
7.6
61
|
Verified
Not enough data
7.0
60
|
Verified
Not enough data
7.8
63
|
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
6.7
11
Not enough data
6.3
12
Not enough data
Financial Planning
8.0
79
|
Verified
7.9
71
|
Verified
8.8
87
|
Verified
8.0
88
|
Verified
8.7
90
|
Verified
7.4
85
|
Verified
Agentic AI - FP&A (Financial Planning & Analysis)
6.8
28
Not enough data
7.2
29
Not enough data
Financial Insight
8.2
96
|
Verified
8.7
155
|
Verified
8.0
96
|
Verified
8.5
154
|
Verified
8.1
95
|
Verified
8.5
155
|
Verified
Data
8.7
103
|
Verified
7.5
116
|
Verified
8.8
103
|
Verified
7.8
128
|
Verified
9.1
111
|
Verified
8.0
146
|
Verified
8.3
101
|
Verified
7.6
129
|
Verified
Status Communication
8.3
95
|
Verified
8.0
131
|
Verified
9.1
96
|
Verified
8.6
147
|
Verified
9.0
101
|
Verified
8.3
137
|
Verified
8.2
32
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
9.2
12
Not enough data
8.9
11
Not enough data
9.0
12
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
9.2
6
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
9.7
5
Not enough data
Not enough data
Not enough data
10.0
5
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
7.6%
Hospital & Health Care
6.6%
Manufacturing
5.0%
Construction
5.0%
Accounting
4.6%
Other
71.3%
Computer Software
15.6%
Information Technology and Services
9.2%
Financial Services
7.8%
Hospital & Health Care
5.1%
Non-Profit Organization Management
5.1%
Other
57.1%
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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