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At a Glance
Market Segments
Enterprise (57.5% of reviews)
Mid-Market (38.6% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
SAP Ariba
Star Rating
(706)4.1 out of 5
Market Segments
Enterprise (57.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAP AribaSpecright
Star Rating
(85)4.5 out of 5
Market Segments
Mid-Market (38.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that SAP Ariba excels in its Contract Management features, particularly in Contract Creation and Approval Process, with scores of 8.4 and 8.6 respectively, making it a strong choice for enterprises needing robust contract handling.
- Reviewers mention that Specright shines in Data Management, especially in Classification and Analytics, scoring 8.5 and 8.7, which is crucial for mid-market companies looking to optimize their product specifications and data accuracy.
- G2 users highlight that SAP Ariba's Quality of Support is rated at 7.8, while Specright outperforms with a score of 9.0, indicating that users of Specright feel more supported and satisfied with their customer service experience.
- Users on G2 report that Specright's Ease of Use is a significant advantage, scoring 8.8 compared to SAP Ariba's 8.0, suggesting that Specright may be more user-friendly for teams without extensive training.
- Reviewers mention that SAP Ariba's Integrations / APIs score of 8.1 is a strong point, but Specright's 8.6 in Integration indicates a more seamless experience for users needing to connect with other systems.
- Users say that while both platforms offer Reporting & Dashboards, Specright's advanced analytics capabilities, with a score of 8.7, provide deeper insights compared to SAP Ariba's 8.3, making it a better choice for data-driven decision-making.
Pricing
Entry-Level Pricing
SAP Ariba
No pricing availableSpecright
Specright Foundations
Contact Us
For small to mid-size Food & Beverage, Beauty, and Packaging companies looking to manage their packaging data with streamlined processes for sustainability reporting and SKU rationalization.
- Packaging Data Management
- Document Management
- Bill of Materials Management (for packaging only)
Free Trial
SAP Ariba
No trial information availableSpecright
No trial information availableRatings
Meets Requirements
8.3
507
8.7
52
Ease of Use
7.9
530
8.8
52
Ease of Setup
7.6
268
7.2
23
Ease of Admin
7.9
167
8.8
23
Quality of Support
7.8
483
9.0
49
Has the product been a good partner in doing business?
8.1
171
9.3
28
Product Direction (% positive)
8.3
476
8.6
49
Features by Category
Contract Management Platform Features
8.3
129
|
Verified
Not enough data
8.2
123
|
Verified
Not enough data
Feature Not Available
Not enough data
8.4
129
|
Verified
Not enough data
8.2
119
|
Verified
Not enough data
8.5
127
|
Verified
Not enough data
8.1
132
|
Verified
Not enough data
8.5
129
|
Verified
Not enough data
7.9
115
|
Verified
Not enough data
8.2
128
|
Verified
Not enough data
Generative AI
7.2
25
Not enough data
7.1
25
Not enough data
Agentic AI - Contract Management
6.3
8
Not enough data
Setup
8.5
82
Not enough data
8.4
82
Not enough data
8.3
80
Not enough data
Performance
8.3
78
Not enough data
8.3
77
Not enough data
8.3
75
Not enough data
8.3
84
Not enough data
Payment Cards
8.4
50
Not enough data
8.1
50
Not enough data
8.1
49
Not enough data
Reporting
8.0
54
Not enough data
7.9
55
Not enough data
8.2
55
Not enough data
8.0
54
Not enough data
Payments
8.4
55
Not enough data
8.3
55
Not enough data
7.8
52
Not enough data
7.6
51
Not enough data
Fraud & Risk Management
8.2
54
Not enough data
7.8
48
Not enough data
8.2
51
Not enough data
Agentic AI - Spend Management
6.7
7
Not enough data
Management
8.5
121
8.3
9
8.3
122
8.1
9
8.6
122
8.1
15
Performance
8.5
109
7.5
6
8.2
111
Not enough data
8.3
106
Not enough data
Supplier Information
8.3
121
8.2
11
8.2
116
7.8
10
8.3
117
7.4
11
Planning
8.6
169
Not enough data
8.6
166
Not enough data
8.3
163
Not enough data
8.5
165
Not enough data
Execution
8.3
170
Not enough data
8.6
170
Not enough data
8.6
166
Not enough data
Analytics
8.5
169
Not enough data
8.4
169
Not enough data
8.5
170
Not enough data
Agentic AI - Procure to Pay
6.7
18
Not enough data
Data Management
8.6
89
Not enough data
8.4
89
Not enough data
8.4
88
Not enough data
8.3
86
Not enough data
8.2
87
Not enough data
Agentic AI - Accounts Payable (AP) and Spend Analysis
6.9
7
Not enough data
Analytics
8.5
86
Not enough data
8.4
84
Not enough data
8.4
89
Not enough data
8.1
84
Not enough data
Recovery
8.4
86
Not enough data
8.3
86
Not enough data
AP Data Processing
8.6
86
Not enough data
8.6
84
Not enough data
8.7
84
Not enough data
Invoice Generation
8.3
127
|
Verified
Not enough data
8.6
132
|
Verified
Not enough data
8.4
126
|
Verified
Not enough data
Invoice Processing
8.6
134
|
Verified
Not enough data
8.1
126
Not enough data
8.3
128
Not enough data
8.5
124
Not enough data
Analytics
8.5
127
Not enough data
8.2
119
Not enough data
8.3
119
|
Verified
Not enough data
8.6
121
|
Verified
Not enough data
Integration
8.3
134
|
Verified
Not enough data
8.4
135
Not enough data
8.3
131
Not enough data
8.3
120
|
Verified
Not enough data
Agentic AI - Invoice Management
6.8
10
Not enough data
7.0
10
Not enough data
6.3
10
Not enough data
Management
8.4
156
Not enough data
8.3
157
Not enough data
8.4
156
Not enough data
8.5
155
Not enough data
Planning
8.5
148
Not enough data
8.4
145
Not enough data
8.2
149
Not enough data
8.4
151
Not enough data
Invoice Management
8.2
142
Not enough data
8.3
148
Not enough data
8.3
145
Not enough data
Supplier Management
8.3
150
Not enough data
8.3
149
Not enough data
7.8
134
Not enough data
Execution
8.3
157
Not enough data
8.8
160
Not enough data
8.4
147
Not enough data
Invoice Processing
8.1
134
Not enough data
8.2
133
Not enough data
8.2
139
Not enough data
8.1
123
Not enough data
8.2
128
Not enough data
Supplier Information
8.3
141
Not enough data
8.1
137
Not enough data
8.3
143
Not enough data
Analytics
8.5
147
Not enough data
8.4
145
Not enough data
8.2
140
Not enough data
8.4
135
Not enough data
8.4
132
Not enough data
Integration
8.4
129
Not enough data
8.3
130
Not enough data
8.4
136
Not enough data
8.7
145
Not enough data
Agentic AI - Purchasing
6.7
6
Not enough data
6.9
6
Not enough data
Contract Creation & Management
8.7
75
Not enough data
8.6
75
Not enough data
8.7
75
Not enough data
8.4
75
Not enough data
Collaboration
8.6
70
Not enough data
8.7
76
Not enough data
Other Platform Features
8.6
75
Not enough data
8.6
72
Not enough data
8.1
73
Not enough data
8.2
72
Not enough data
8.3
75
Not enough data
Contract Data
8.5
73
Not enough data
8.1
70
Not enough data
Generative AI
7.4
16
Not enough data
7.2
16
Not enough data
Agentic AI - Contract Lifecycle Management (CLM)
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
Product Specification
Not enough data
8.2
28
Not enough data
8.6
34
Not enough data
8.8
22
Manufacturing Specifications
Not enough data
8.8
21
Not enough data
7.8
16
Not enough data
7.8
24
Supplier Specifications
Not enough data
7.4
24
Not enough data
8.3
14
Not enough data
7.7
14
Data Management
Not enough data
8.6
27
Not enough data
8.7
20
Not enough data
8.6
13
Not enough data
8.0
14
Risk Assessment
8.3
11
Not enough data
7.8
6
Not enough data
Risk Control
8.5
11
Not enough data
8.3
11
Not enough data
8.6
11
Not enough data
Monitoring
8.2
11
Not enough data
7.3
11
Not enough data
7.9
11
Not enough data
Reporting
8.6
11
Not enough data
8.2
11
Not enough data
7.6
11
Not enough data
Agentic AI - Third Party & Supplier Risk Management
Not enough data
Not enough data
Not enough data
Not enough data
Supplier Marketplace
7.9
35
Not enough data
8.3
35
Not enough data
8.5
36
Not enough data
Contract Management
8.0
35
Not enough data
8.2
35
Not enough data
8.3
33
Not enough data
Data Collection
8.3
34
Not enough data
8.0
35
Not enough data
8.5
33
Not enough data
Project Management
8.3
35
Not enough data
8.4
35
Not enough data
8.4
35
Not enough data
Agentic AI - Strategic Sourcing
6.4
6
Not enough data
6.4
6
Not enough data
5.8
6
Not enough data
Data management - Catalog Management
8.5
8
Not enough data
8.1
8
Not enough data
7.5
8
Not enough data
7.5
8
Not enough data
Product catalogs - Catalog Management
7.7
8
Not enough data
8.3
8
Not enough data
7.7
8
Not enough data
Integration - Catalog Management
7.9
8
Not enough data
7.9
8
Not enough data
Analytics and Reporting - Catalog Management
7.9
8
Not enough data
7.7
8
Not enough data
Agentic AI - Catalog Management
Not enough data
Not enough data
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
SAP Ariba and Specright are categorized as Supplier Relationship Management (SRM)
Reviews
Reviewers' Company Size
SAP Ariba
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Specright
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
10.4%
Oil & Energy
5.9%
Accounting
5.8%
Pharmaceuticals
4.0%
Computer Software
3.7%
Other
70.1%
Food Production
16.9%
Consumer Goods
14.5%
Food & Beverages
13.3%
Packaging and Containers
10.8%
Cosmetics
10.8%
Other
33.7%
Alternatives
Discussions
What is SAP Ariba used for?
3 Comments
NS
Hi there,
Ariba is mainly a procurement solution that is useful for supplier Contracts. If you are looking for a CLM solution that takes care of all...Read more
How many customers are asking for more PLM capabilities within Specright?
1 Comment
Official Response from Specright
PLMs have many benefits and are ingrained in many companies although, for Process Manufacturing, PLMs don’t support recipe management, ingredients, or...Read more
What does Specright do?
1 Comment
Official Response from Specright
Unlike other platforms, Specright has been issued a patent for the unique “many-to-many” data relationship structure, fundamental to the technology's...Read more
How do you manage specification?
1 Comment
Official Response from Specright
Specification Management is the process of building and collecting DNA-level information, or specifications, for products and packaging into a centralized...Read more
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