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Compare IBM Planning Analytics and Oracle Supply Chain Planning 
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At a Glance
Market Segments
Enterprise (54.1% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
Free Trial
No pricing available
IBM Planning Analytics
Star Rating
(241)4.4 out of 5
Market Segments
Enterprise (54.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial
Free Trial is available
Browse all 4 pricing plansOracle Supply Chain Planning
Star Rating
(17)4.0 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Oracle Supply Chain PlanningSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Oracle Supply Chain Planning excels in "Forecasting - Supply Chain Planning" with a score of 9.0, indicating strong capabilities in predicting supply chain needs, while IBM Planning Analytics, although robust, does not have a specific score in this area, suggesting a potential gap in dedicated supply chain forecasting features.
- Reviewers mention that Oracle's "Data Import" feature scores a remarkable 9.0, making it easy for users to integrate data from various sources, whereas IBM Planning Analytics has a slightly lower score of 8.3 for "Data Sourcing," which may indicate a less seamless experience in data integration.
- G2 users highlight that Oracle's "Versioning" feature is rated at 9.1, allowing for effective management of different budget versions, while IBM's version control is rated lower at 7.9, suggesting that users may find Oracle's approach more user-friendly and efficient for managing multiple iterations.
- Users on G2 report that Oracle's "What-If" analysis feature scores an impressive 9.2, providing users with powerful tools for scenario planning, while IBM Planning Analytics, although strong in analytics, does not have a comparable feature highlighted, which may limit its flexibility in strategic planning scenarios.
- Reviewers mention that Oracle's "Collaborate" features, particularly in "Inventory collaboration," score 8.8, indicating a strong focus on teamwork in supply chain management, whereas IBM's collaboration features are rated lower, suggesting that Oracle may provide a more integrated experience for teams working on inventory management.
- Users say that Oracle's "Comprehensive Planning" feature shines with a score of 9.0, indicating a holistic approach to planning across various business functions, while IBM Planning Analytics, despite its strengths, does not match this level of integration, which could impact users looking for a unified planning solution.
Pricing
Entry-Level Pricing
IBM Planning Analytics
30-day FREE Trial
Free Trial
Start your 30-day Free trial!
Discover how you can automate and accelerate planning, budgeting and forecasting processes with IBM Planning Analytics, no download required.
- Connected Planning
- Excel and web interface
- Scenario planning
Oracle Supply Chain Planning
No pricing availableFree Trial
IBM Planning Analytics
Free Trial is available
Oracle Supply Chain Planning
No trial information availableRatings
Meets Requirements
8.6
167
9.0
10
Ease of Use
8.1
179
8.0
10
Ease of Setup
7.4
140
Not enough data
Ease of Admin
7.9
103
Not enough data
Quality of Support
8.0
160
8.3
10
Has the product been a good partner in doing business?
8.3
97
Not enough data
Product Direction (% positive)
8.8
160
7.7
10
Features by Category
Analytics
9.0
8
Not enough data
9.6
8
Not enough data
8.5
8
Not enough data
9.6
8
Not enough data
Warehouse Management
8.9
9
Not enough data
8.6
7
Not enough data
8.8
8
Not enough data
8.9
6
Not enough data
Collaborate
8.3
28
Not enough data
8.4
28
Not enough data
Logistics
8.7
25
Not enough data
8.5
26
Not enough data
8.4
26
Not enough data
Budget Creation
9.0
61
Not enough data
8.8
60
Not enough data
9.0
59
Not enough data
9.1
59
Not enough data
9.0
58
Not enough data
9.1
58
Not enough data
Budget Management
9.1
56
Not enough data
9.1
58
Not enough data
8.6
58
Not enough data
Forecasting
9.0
55
Not enough data
9.0
55
Not enough data
8.9
54
Not enough data
8.8
55
Not enough data
7.1
45
Not enough data
Analytics
8.7
55
Not enough data
8.8
55
Not enough data
8.9
54
Not enough data
Agentic AI - Budgeting and Forecasting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
8.6
17
Not enough data
9.0
15
Not enough data
8.5
16
Not enough data
8.8
16
Not enough data
9.0
17
Not enough data
Collaboration
8.4
18
Not enough data
9.0
18
Not enough data
8.6
18
Not enough data
8.8
17
Not enough data
Planning
8.8
18
Not enough data
8.7
18
Not enough data
9.0
17
Not enough data
8.9
18
Not enough data
9.0
17
Not enough data
9.3
17
Not enough data
8.4
18
Not enough data
Financial Planning
9.1
47
|
Verified
Not enough data
8.9
45
|
Verified
Not enough data
8.7
47
|
Verified
Not enough data
Agentic AI - FP&A (Financial Planning & Analysis)
Not enough data
Not enough data
Not enough data
Not enough data
Financial Insight
9.0
81
|
Verified
Not enough data
8.9
83
|
Verified
Not enough data
9.3
80
|
Verified
Not enough data
Data
8.4
67
|
Verified
Not enough data
8.7
82
|
Verified
Not enough data
8.5
69
|
Verified
Not enough data
8.1
79
|
Verified
Not enough data
Status Communication
8.2
74
|
Verified
Not enough data
8.2
74
|
Verified
Not enough data
9.1
63
|
Verified
Not enough data
8.3
64
|
Verified
Not enough data
Reports
8.9
15
Not enough data
8.7
15
Not enough data
7.7
15
Not enough data
8.4
15
Not enough data
Cleaning
8.2
15
Not enough data
8.6
15
Not enough data
8.3
15
Not enough data
Generative AI
6.0
14
Not enough data
6.0
14
Not enough data
5.7
14
Not enough data
Resource Planning - Workforce Planning
9.2
6
Not enough data
8.3
6
Not enough data
8.9
6
Not enough data
8.3
6
Not enough data
Human Resources - Workforce Planning
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Sales 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
Not enough data
Not enough data
Data Sourcing
8.5
19
Not enough data
8.8
19
Not enough data
8.4
18
Not enough data
8.5
18
Not enough data
8.6
18
Not enough data
Predictive Analytics
8.1
17
Not enough data
8.3
16
Not enough data
7.8
16
Not enough data
8.7
17
Not enough data
Sales Management
8.6
17
Not enough data
Feature Not Available
Not enough data
8.6
18
Not enough data
8.4
18
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Marketing Operations
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
Campaign Activity
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
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IBM Planning Analytics and Oracle Supply Chain Planning are categorized as Supply Chain Planning
Unique Categories
IBM Planning Analytics is categorized as Workforce Planning, Budgeting and Forecasting, FP&A (Financial Planning & Analysis), Sales & Ops Planning, Demand Planning, HR Analytics, Sales Analytics, and Marketing Analytics
Oracle Supply Chain Planning has no unique categories
Reviews
Reviewers' Company Size
IBM Planning Analytics
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Oracle Supply Chain 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
11.2%
Information Technology and Services
8.8%
Accounting
6.8%
Consulting
6.3%
Banking
6.3%
Other
60.5%
Telecommunications
12.5%
Civil Engineering
12.5%
Accounting
12.5%
Retail
6.3%
Oil & Energy
6.3%
Other
50.0%
Alternatives
Discussions
IBM Planning Analytics has no discussions with answers
Oracle Supply Chain Planning has no discussions with answers
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