Compare SAP Ariba and Specright 
At a Glance
Market Segments
Enterprise (56.6% of reviews)
Mid-Market (38.6% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
SAP Ariba
Star Rating
(751)4.1 out of 5
Market Segments
Enterprise (56.6% 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.
- G2 reviewers report that SAP Ariba excels in integration capabilities, particularly with SAP ERP systems, allowing for real-time data flow between finance and procurement, which is a significant advantage for organizations looking to streamline their processes.
- Users say that Specright offers a highly customizable database that caters to unique specification needs, making it a powerful tool for companies that require flexibility in workflows and data management.
- Reviewers mention that SAP Ariba's contract management functionality is particularly useful, helping users track purchase requests efficiently, which is a notable improvement over traditional email-based systems that can lead to confusion.
- According to verified reviews, Specright's customer support is highly praised, with users highlighting the availability of dedicated resources to assist with business needs throughout the process, enhancing the overall user experience.
- G2 reviewers indicate that while SAP Ariba has a robust feature set, some users find it challenging to configure the software to match their specific workflows, which can hinder its usability in certain scenarios.
- Users report that Specright's interface is fairly user-friendly, with powerful reporting and dashboard capabilities, making it easy for teams to create insightful analytics tailored to their operational needs.
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
531
8.7
52
Ease of Use
7.9
557
8.8
52
Ease of Setup
7.6
291
7.2
23
Ease of Admin
7.9
172
8.8
23
Quality of Support
7.8
504
9.0
49
Has the product been a good partner in doing business?
8.1
176
9.3
28
Product Direction (% positive)
8.3
499
8.6
49
Features by Category
Contract Management Platform Features
8.2
132
|
Verified
Not enough data
8.2
125
|
Verified
Not enough data
Feature Not Available
Not enough data
8.4
131
|
Verified
Not enough data
8.2
121
|
Verified
Not enough data
8.5
130
|
Verified
Not enough data
8.1
134
|
Verified
Not enough data
8.5
131
|
Verified
Not enough data
7.9
119
|
Verified
Not enough data
8.2
132
|
Verified
Not enough data
Generative AI
7.1
26
Not enough data
7.1
26
Not enough data
Agentic AI - Contract Management
6.3
9
Not enough data
Setup
8.5
82
Not enough data
8.5
83
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
122
8.3
9
8.3
123
8.1
9
8.6
123
8.1
15
Performance
8.5
110
7.5
6
8.3
113
Not enough data
8.3
107
Not enough data
Supplier Information
8.3
122
8.2
11
8.2
117
7.8
10
8.3
118
7.4
11
Planning
8.7
186
Not enough data
8.6
170
Not enough data
8.3
168
Not enough data
8.5
169
Not enough data
Execution
8.4
185
Not enough data
8.7
180
Not enough data
8.6
175
Not enough data
Analytics
8.7
187
Not enough data
8.4
173
Not enough data
8.5
180
Not enough data
Agentic AI - Procure to Pay
6.7
21
Not enough data
Data Management
8.6
91
Not enough data
8.4
91
Not enough data
8.4
89
Not enough data
8.3
88
Not enough data
8.1
88
Not enough data
Agentic AI - Accounts Payable (AP) and Spend Analysis
6.9
8
Not enough data
Analytics
8.4
87
Not enough data
8.3
85
Not enough data
8.4
90
Not enough data
8.1
85
Not enough data
Recovery
8.4
87
Not enough data
8.3
87
Not enough data
AP Data Processing
8.5
88
Not enough data
8.6
85
Not enough data
8.7
86
Not enough data
Invoice Generation
8.3
128
|
Verified
Not enough data
8.6
133
|
Verified
Not enough data
8.4
127
|
Verified
Not enough data
Invoice Processing
8.6
136
|
Verified
Not enough data
8.1
127
Not enough data
8.3
129
Not enough data
8.5
125
Not enough data
Analytics
8.5
128
Not enough data
8.2
120
Not enough data
8.3
120
|
Verified
Not enough data
8.6
122
|
Verified
Not enough data
Integration
8.3
136
|
Verified
Not enough data
8.4
136
Not enough data
8.3
132
Not enough data
8.3
121
|
Verified
Not enough data
Agentic AI - Invoice Management
7.1
12
Not enough data
7.0
11
Not enough data
6.4
11
Not enough data
Management
8.4
157
Not enough data
8.3
158
Not enough data
8.4
157
Not enough data
8.4
156
Not enough data
Planning
8.6
152
Not enough data
8.4
147
Not enough data
8.2
150
Not enough data
8.4
152
Not enough data
Invoice Management
8.2
143
Not enough data
8.3
149
Not enough data
8.3
146
Not enough data
Supplier Management
8.3
151
Not enough data
8.3
152
Not enough data
7.9
136
Not enough data
Execution
8.3
160
Not enough data
8.8
161
Not enough data
8.4
149
Not enough data
Invoice Processing
8.1
135
Not enough data
8.2
134
Not enough data
8.2
141
Not enough data
8.1
124
Not enough data
8.2
129
Not enough data
Supplier Information
8.3
143
Not enough data
8.1
138
Not enough data
8.3
144
Not enough data
Analytics
8.5
151
Not enough data
8.4
146
Not enough data
8.2
142
Not enough data
8.4
136
Not enough data
8.4
133
Not enough data
Integration
8.4
130
Not enough data
8.3
131
Not enough data
8.4
140
Not enough data
8.7
147
Not enough data
Agentic AI - Purchasing
6.7
7
Not enough data
6.9
7
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
7.8
36
Not enough data
8.2
36
Not enough data
8.4
37
Not enough data
Contract Management
8.0
37
Not enough data
8.1
36
Not enough data
8.2
34
Not enough data
Data Collection
8.3
35
Not enough data
7.9
36
Not enough data
8.4
34
Not enough data
Project Management
8.2
37
Not enough data
8.4
37
Not enough data
8.4
36
Not enough data
Agentic AI - Strategic Sourcing
6.4
7
Not enough data
6.4
7
Not enough data
6.0
7
Not enough data
Data management - Catalog Management
8.3
9
Not enough data
8.0
9
Not enough data
7.4
9
Not enough data
7.4
9
Not enough data
Product catalogs - Catalog Management
7.6
9
Not enough data
8.1
9
Not enough data
7.6
9
Not enough data
Integration - Catalog Management
7.8
9
Not enough data
7.8
9
Not enough data
Analytics and Reporting - Catalog Management
7.8
9
Not enough data
7.6
9
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
10.6%
Oil & Energy
5.7%
Accounting
5.7%
Pharmaceuticals
4.0%
Computer Software
3.9%
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
AK
Ariba offers a comprehensive array of tools and solutions to cover core procurement activities and challenges. As with any process, procurement’s complexity...Read more
How do you use Specright?
1 Comment
Official Response from Specright
Specright can be used in various ways depending on your company’s needs. With the organized specification data Specright provides, you will be able to...Read more
What is the use of Specright?
1 Comment
Official Response from Specright
Specright can be used in various ways depending on your company’s needs. With the organized specification data Specright provides, you will be able to...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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