Compare Microsoft SQL Server and SAP Ariba 
At a Glance
Market Segments
Enterprise (45.5% of reviews)
Enterprise (56.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Microsoft SQL Server
Star Rating
(2,261)4.4 out of 5
Market Segments
Enterprise (45.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft SQL ServerSAP Ariba
Star Rating
(747)4.1 out of 5
Market Segments
Enterprise (56.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAP AribaMicrosoft SQL Server vs SAP Ariba
When assessing the two solutions, reviewers found Microsoft SQL Server easier to use, set up, and administer. Reviewers also preferred doing business with Microsoft SQL Server overall.
- Reviewers felt that Microsoft SQL Server meets the needs of their business better than SAP Ariba.
- When comparing quality of ongoing product support, reviewers felt that Microsoft SQL Server is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Microsoft SQL Server over SAP Ariba.
Pricing
Entry-Level Pricing
Microsoft SQL Server
No pricing availableSAP Ariba
No pricing availableFree Trial
Microsoft SQL Server
No trial information availableSAP Ariba
No trial information availableRatings
Meets Requirements
9.0
1,854
8.3
528
Ease of Use
8.6
1,870
7.9
554
Ease of Setup
8.1
992
7.6
289
Ease of Admin
8.3
950
7.9
172
Quality of Support
8.3
1,649
7.8
502
Has the product been a good partner in doing business?
8.4
900
8.1
176
Product Direction (% positive)
8.4
1,825
8.3
496
Features by Category
Contract Management Platform Features
Not enough data
8.2
131
|
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
129
|
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
131
|
Verified
Generative AI
Not enough data
7.1
26
Not enough data
7.1
26
Agentic AI - Contract Management
Not enough data
6.3
9
Setup
Not enough data
8.5
82
Not enough data
8.5
83
Not enough data
8.3
80
Performance
Not enough data
8.3
78
Not enough data
8.3
77
Not enough data
8.3
75
Not enough data
8.3
84
Payment Cards
Not enough data
8.4
50
Not enough data
8.1
50
Not enough data
8.1
49
Reporting
Not enough data
8.0
54
Not enough data
7.9
55
Not enough data
8.2
55
Not enough data
8.0
54
Payments
Not enough data
8.4
55
Not enough data
8.3
55
Not enough data
7.8
52
Not enough data
7.6
51
Fraud & Risk Management
Not enough data
8.2
54
Not enough data
7.8
48
Not enough data
8.2
51
Agentic AI - Spend Management
Not enough data
6.7
7
Management
Not enough data
8.5
122
Not enough data
8.3
123
Not enough data
8.6
123
Performance
Not enough data
8.5
110
Not enough data
8.3
113
Not enough data
8.3
107
Supplier Information
Not enough data
8.3
122
Not enough data
8.2
117
Not enough data
8.3
118
Planning
Not enough data
8.7
184
Not enough data
8.6
170
Not enough data
8.3
168
Not enough data
8.5
169
Execution
Not enough data
8.4
184
Not enough data
8.7
179
Not enough data
8.6
173
Analytics
Not enough data
8.7
187
Not enough data
8.4
173
Not enough data
8.5
180
Agentic AI - Procure to Pay
Not enough data
6.7
21
Data Management
Not enough data
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
Agentic AI - Accounts Payable (AP) and Spend Analysis
Not enough data
6.9
8
Analytics
Not enough data
8.4
87
Not enough data
8.3
85
Not enough data
8.4
90
Not enough data
8.1
85
Recovery
Not enough data
8.4
87
Not enough data
8.3
87
AP Data Processing
Not enough data
8.5
88
Not enough data
8.6
85
Not enough data
8.7
86
Invoice Generation
Not enough data
8.3
128
|
Verified
Not enough data
8.6
133
|
Verified
Not enough data
8.4
127
|
Verified
Invoice Processing
Not enough data
8.6
136
|
Verified
Not enough data
8.1
127
Not enough data
8.3
129
Not enough data
8.5
125
Analytics
Not enough data
8.5
128
Not enough data
8.2
120
Not enough data
8.3
120
|
Verified
Not enough data
8.6
122
|
Verified
Integration
Not enough data
8.3
136
|
Verified
Not enough data
8.4
136
Not enough data
8.3
132
Not enough data
8.3
121
|
Verified
Agentic AI - Invoice Management
Not enough data
6.8
11
Not enough data
7.0
11
Not enough data
6.4
11
Management
Not enough data
8.4
157
Not enough data
8.3
158
Not enough data
8.4
157
Not enough data
8.4
156
Planning
Not enough data
8.6
152
Not enough data
8.4
147
Not enough data
8.2
150
Not enough data
8.4
152
Invoice Management
Not enough data
8.2
143
Not enough data
8.3
149
Not enough data
8.3
146
Supplier Management
Not enough data
8.3
151
Not enough data
8.3
152
Not enough data
7.9
136
Execution
Not enough data
8.3
160
Not enough data
8.8
161
Not enough data
8.4
149
Invoice Processing
Not enough data
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
Supplier Information
Not enough data
8.3
143
Not enough data
8.1
138
Not enough data
8.3
144
Analytics
Not enough data
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
Integration
Not enough data
8.4
130
Not enough data
8.3
131
Not enough data
8.4
140
Not enough data
8.7
147
Agentic AI - Purchasing
Not enough data
6.7
7
Not enough data
6.9
7
Contract Creation & Management
Not enough data
8.7
75
Not enough data
8.6
75
Not enough data
8.7
75
Not enough data
8.4
75
Collaboration
Not enough data
8.6
70
Not enough data
8.7
76
Other Platform Features
Not enough data
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
Contract Data
Not enough data
8.5
73
Not enough data
8.1
70
Generative AI
Not enough data
7.4
16
Not enough data
7.2
16
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
Management
8.9
153
Not enough data
8.8
153
Not enough data
9.2
158
Not enough data
8.9
153
Not enough data
8.9
156
Not enough data
Maintenance
8.9
154
Not enough data
9.0
159
Not enough data
9.0
154
Not enough data
Security
8.9
153
Not enough data
9.1
155
Not enough data
Management
9.0
149
Not enough data
9.2
151
Not enough data
8.8
137
Not enough data
8.8
142
Not enough data
Support
8.6
145
Not enough data
9.0
149
Not enough data
8.6
144
Not enough data
8.4
151
Not enough data
Security
8.8
148
Not enough data
9.0
148
Not enough data
8.8
145
Not enough data
9.0
149
Not enough data
Performance
8.7
144
Not enough data
8.8
141
Not enough data
8.7
147
Not enough data
8.6
145
Not enough data
8.8
146
Not enough data
Database Features
8.9
1287
Not enough data
9.0
1291
Not enough data
8.9
1299
Not enough data
8.7
1266
Not enough data
8.8
1267
Not enough data
8.8
1271
Not enough data
9.1
1291
Not enough data
Risk Assessment
Not enough data
8.3
11
Not enough data
7.8
6
Risk Control
Not enough data
8.5
11
Not enough data
8.3
11
Not enough data
8.6
11
Monitoring
Not enough data
8.2
11
Not enough data
7.3
11
Not enough data
7.9
11
Reporting
Not enough data
8.6
11
Not enough data
8.2
11
Not enough data
7.6
11
Agentic AI - Third Party & Supplier Risk Management
Not enough data
Not enough data
Not enough data
Not enough data
Supplier Marketplace
Not enough data
7.8
36
Not enough data
8.2
36
Not enough data
8.4
37
Contract Management
Not enough data
8.0
37
Not enough data
8.1
36
Not enough data
8.2
34
Data Collection
Not enough data
8.3
35
Not enough data
7.9
36
Not enough data
8.4
34
Project Management
Not enough data
8.2
37
Not enough data
8.4
37
Not enough data
8.4
36
Agentic AI - Strategic Sourcing
Not enough data
6.4
7
Not enough data
6.4
7
Not enough data
6.0
7
Data management - Catalog Management
Not enough data
8.3
9
Not enough data
8.0
9
Not enough data
7.4
9
Not enough data
7.4
9
Product catalogs - Catalog Management
Not enough data
7.6
9
Not enough data
8.1
9
Not enough data
7.6
9
Integration - Catalog Management
Not enough data
7.8
9
Not enough data
7.8
9
Analytics and Reporting - Catalog Management
Not enough data
7.8
9
Not enough data
7.6
9
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
Database
8.5
56
Not enough data
8.8
57
Not enough data
8.4
54
Not enough data
Integrations
7.8
45
Not enough data
8.2
45
Not enough data
Platform
8.2
50
Not enough data
8.5
53
Not enough data
8.2
45
Not enough data
Processing
8.5
52
Not enough data
8.5
55
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Categories
Categories
Shared Categories
Microsoft SQL Server and SAP Ariba share no categories
Unique Categories
Microsoft SQL Server is categorized as Relational Databases, Database Management Systems (DBMS), Big Data Processing and Distribution, and On-Premise Data Integration
SAP Ariba is categorized as Contract Lifecycle Management (CLM), Accounts Payable (AP) and Spend Analysis, Procure to Pay, Spend Management, Supplier Relationship Management (SRM), Invoice Management, Strategic Sourcing, Purchasing, Contract Management, Catalog Management, and Third Party & Supplier Risk Management
Reviews
Reviewers' Company Size
Microsoft SQL Server
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAP Ariba
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
24.1%
Computer Software
13.7%
Hospital & Health Care
5.4%
Financial Services
4.3%
Higher Education
2.9%
Other
49.6%
Information Technology and Services
10.6%
Oil & Energy
5.7%
Accounting
5.7%
Pharmaceuticals
3.9%
Computer Software
3.9%
Other
70.2%
Alternatives
Discussions
How could I make much easier the experience with the order of my database?
4 Comments
AF
You can create different tables with your employee information eg employee table, employee roles etc. Then you can create a single view that will pull data...Read more
What is the best way to save your queries?
4 Comments
CA
I recommend that you use the saved querys in plain text or .sql or txt format you can use the same sql server query creator or a notepad +++ tool, they are...Read more
How can I work on the same query if the connection is lost (timeout) and then I reconnect?
4 Comments
JE
When this happens to me in SQL Server Management Studio, I just have to type USE {your database name here} and then select only that statement and execute...Read more
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
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