Compare Arena PLM & QMS and IFS Cloud 
At a Glance
Market Segments
Mid-Market (58.3% of reviews)
Mid-Market (63.4% of reviews)
Entry-Level Pricing
Contact Us
No pricing available
Arena PLM & QMS
Star Rating
(439)4.2 out of 5
Market Segments
Mid-Market (58.3% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 7 pricing plansIFS Cloud
Star Rating
(272)4.0 out of 5
Market Segments
Mid-Market (63.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IFS CloudSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Arena PLM & QMS excels in user experience, with many users highlighting its user-friendly interface and ease of use. One user mentioned, "It's easy for first-time users," which contributes to a smoother onboarding process compared to IFS Cloud.
- Users say that Arena PLM & QMS offers a more efficient implementation process, with reviewers noting its intuitive onboarding wizard that helps teams get started quickly. In contrast, IFS Cloud has received feedback about a more challenging setup experience.
- Reviewers mention that Arena PLM & QMS provides superior support, with a score reflecting high satisfaction in this area. Users appreciate the quality of support they receive, stating that it has been a reliable partner in their business operations, unlike IFS Cloud, which has faced criticism for its support services.
- According to verified reviews, Arena PLM & QMS shines in document management capabilities, with users praising its sorting feature that allows for quick filtering of documents. This functionality is particularly beneficial for managing parts and assemblies, whereas IFS Cloud's document control features are seen as less robust.
- Users highlight that Arena PLM & QMS is better at meeting specific workflow needs, with many noting its flexibility and adaptability. One user stated, "You can make changes without up-reving a part," showcasing its capability to cater to diverse business requirements, while IFS Cloud has been described as less adaptable.
- Reviewers indicate that Arena PLM & QMS has a stronger focus on collaboration, with features that facilitate teamwork across departments. Users appreciate that "everyone in the company has access to it," which enhances cross-functional collaboration, a point where IFS Cloud has room for improvement.
Pricing
Entry-Level Pricing
Arena PLM & QMS
Arena PLM Launch
Contact Us
*additional fees apply
- BOM Management
- Document Management
- Change Management
IFS Cloud
No pricing availableFree Trial
Arena PLM & QMS
No trial information availableIFS Cloud
No trial information availableRatings
Meets Requirements
8.6
389
8.2
223
Ease of Use
8.1
396
7.6
224
Ease of Setup
8.1
196
6.6
157
Ease of Admin
8.4
138
7.4
151
Quality of Support
8.5
326
6.4
217
Has the product been a good partner in doing business?
8.8
138
7.2
151
Product Direction (% positive)
8.5
386
8.1
217
Features by Category
Accounting
Not enough data
8.4
30
Not enough data
8.0
25
Not enough data
7.9
25
Not enough data
8.1
26
Not enough data
7.8
24
Not enough data
8.2
25
Not enough data
7.9
28
Not enough data
8.1
24
Not enough data
8.0
23
Not enough data
7.9
25
Inventory & Warehouse
Not enough data
8.9
30
Not enough data
8.5
31
Not enough data
8.5
31
Not enough data
8.3
29
Not enough data
8.1
26
Not enough data
7.8
22
Not enough data
8.5
24
Not enough data
8.1
15
Purchasing
Not enough data
8.2
31
Not enough data
8.8
30
Not enough data
7.9
25
Not enough data
8.4
30
Sales & Marketing
Not enough data
8.5
26
Not enough data
8.3
20
Not enough data
8.6
28
Not enough data
7.8
27
Not enough data
8.3
24
Not enough data
7.7
23
Manufacturing
Not enough data
8.2
28
Not enough data
7.5
23
Not enough data
7.7
22
Not enough data
8.1
27
Not enough data
8.3
26
Not enough data
8.3
27
Not enough data
7.7
20
Not enough data
8.4
21
Quality Management
Not enough data
8.0
23
Not enough data
7.7
24
Not enough data
7.0
20
Not enough data
7.4
23
Not enough data
7.6
19
Not enough data
7.6
21
Not enough data
8.0
21
Distribution
Not enough data
8.4
27
Not enough data
8.5
22
Not enough data
7.6
25
Not enough data
8.6
26
Not enough data
8.3
24
HR
Not enough data
8.3
12
Not enough data
7.6
19
Not enough data
7.4
23
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Process ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Accounting
Not enough data
9.8
8
Not enough data
7.2
6
Not enough data
8.6
6
Not enough data
8.1
9
Not enough data
8.8
7
Not enough data
7.6
7
Not enough data
9.3
5
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
7.6
7
Inventory & Warehouse
Not enough data
8.3
12
Not enough data
8.6
12
Not enough data
8.0
11
Not enough data
7.6
11
Not enough data
7.8
12
Purchasing
Not enough data
8.0
9
Not enough data
8.3
11
Not enough data
8.5
10
Not enough data
8.8
11
Sales & Marketing
Not enough data
8.3
11
Not enough data
7.9
8
Not enough data
8.0
10
Not enough data
8.1
9
Not enough data
8.3
9
Not enough data
8.3
10
Discrete Manufacturing
Not enough data
8.0
9
Not enough data
7.2
6
Not enough data
8.3
9
Not enough data
8.3
9
Not enough data
8.3
9
Not enough data
8.2
10
Process Manufacturing
Not enough data
7.2
6
Not enough data
7.1
8
Not enough data
7.2
6
ETO Manufacturing
Not enough data
7.7
8
Not enough data
7.5
6
Not enough data
7.0
5
Quality Management
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
8.6
7
Not enough data
8.8
8
Service
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
7.5
6
Distribution
Not enough data
8.3
9
Not enough data
8.1
9
Not enough data
8.7
10
HR
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
7.8
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Mixed Mode ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Quality Management
8.3
79
Not enough data
8.3
72
Not enough data
7.9
66
Not enough data
8.2
68
Not enough data
Quality System
8.2
64
Not enough data
8.0
65
Not enough data
8.9
82
Not enough data
8.7
78
Not enough data
Accounting
Not enough data
8.3
23
Not enough data
6.9
16
Not enough data
6.8
16
Not enough data
7.8
22
Not enough data
7.5
19
Not enough data
7.2
21
Not enough data
7.6
18
Not enough data
7.6
20
Not enough data
7.6
17
Not enough data
7.5
17
Inventory & Warehouse
Not enough data
8.0
22
Not enough data
7.6
21
Not enough data
7.7
21
Not enough data
7.4
18
Not enough data
6.8
18
Purchasing
Not enough data
7.6
19
Not enough data
8.3
20
Not enough data
8.0
20
Not enough data
8.1
20
Sales & Marketing
Not enough data
7.6
19
Not enough data
7.4
14
Not enough data
8.1
18
Not enough data
8.0
17
Not enough data
7.8
19
Not enough data
7.4
17
Manufacturing
Not enough data
8.0
20
Not enough data
8.1
18
Not enough data
7.6
19
Not enough data
7.9
19
Not enough data
7.2
15
Not enough data
7.6
18
Quality Management
Not enough data
7.5
16
Not enough data
7.4
16
Not enough data
6.4
15
Not enough data
7.5
16
Distribution
Not enough data
8.1
19
Not enough data
8.0
19
Not enough data
7.9
19
HR
Not enough data
6.3
10
Not enough data
7.4
12
Not enough data
7.3
11
Generative AI
Not enough data
4.3
5
Not enough data
4.7
5
Agentic AI - Discrete ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Accounting
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
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
Inventory & Warehouse
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
Purchasing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Sales & Marketing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Service
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Manufacturing
Not enough data
Not enough data
Not enough data
9.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.0
5
Not enough data
8.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Quality Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Distribution
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
HR
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - ETO ERP
Not enough data
Not enough data
Accounting
Not enough data
6.9
47
Not enough data
6.8
47
Not enough data
6.9
52
Not enough data
7.2
59
Not enough data
6.5
35
Not enough data
7.6
65
Not enough data
7.5
67
Not enough data
7.6
60
Not enough data
7.3
52
Not enough data
7.1
52
Not enough data
7.5
73
Not enough data
7.0
49
Not enough data
7.5
53
Not enough data
7.1
45
Not enough data
7.7
49
Not enough data
7.7
56
Not enough data
7.5
52
Not enough data
7.4
63
Back Office
Not enough data
7.4
54
Not enough data
7.7
47
Not enough data
6.9
26
Not enough data
7.2
44
Not enough data
7.6
53
Not enough data
7.3
30
Not enough data
6.4
25
Not enough data
8.3
73
Not enough data
8.2
66
Not enough data
7.0
36
Not enough data
7.3
45
Not enough data
7.5
40
Not enough data
7.6
44
Not enough data
7.1
29
Front Office
Not enough data
6.8
31
Not enough data
6.0
24
Not enough data
7.2
39
Not enough data
7.6
36
Not enough data
6.8
29
Not enough data
6.8
20
Not enough data
6.7
22
Not enough data
7.4
48
Not enough data
7.4
42
Not enough data
6.6
29
Not enough data
7.2
50
Not enough data
7.0
41
Not enough data
6.4
20
Not enough data
6.3
21
Not enough data
6.7
22
Not enough data
6.8
31
Integration
Not enough data
6.7
33
Not enough data
7.2
62
Not enough data
7.3
59
Logistics
Not enough data
7.7
62
Not enough data
7.2
51
Not enough data
7.3
52
Not enough data
7.4
67
Not enough data
7.5
66
Not enough data
8.0
65
Not enough data
7.5
58
Not enough data
7.2
56
Not enough data
7.8
64
Not enough data
7.8
59
Platform
Not enough data
7.6
66
Not enough data
7.0
47
Not enough data
7.2
55
Not enough data
7.5
61
Not enough data
7.4
70
Not enough data
7.1
56
Production
Not enough data
7.7
61
Not enough data
6.5
41
Not enough data
7.1
48
Not enough data
6.9
47
Not enough data
7.2
44
Not enough data
6.7
36
Not enough data
7.6
58
Not enough data
7.3
51
Not enough data
7.1
38
Not enough data
7.6
54
Not enough data
6.9
35
Not enough data
7.4
48
Reporting & Analytics
Not enough data
7.3
62
Not enough data
7.5
66
Not enough data
7.3
57
Generative AI
Not enough data
5.9
9
Not enough data
6.2
11
Agentic AI - ERP Systems
Not enough data
Not enough data
Asset Definition
Not enough data
8.1
13
Not enough data
7.6
12
Not enough data
7.8
13
Not enough data
7.8
12
Asset Tracking
Not enough data
6.5
13
Not enough data
8.1
13
Not enough data
7.9
14
Inventory
Not enough data
7.8
13
Not enough data
6.7
12
Not enough data
7.1
13
Depreciation
Not enough data
7.4
12
Not enough data
7.8
12
Not enough data
7.2
12
Not enough data
6.5
13
Maintenance
Not enough data
7.8
12
Not enough data
7.5
12
Not enough data
7.5
10
Not enough data
7.7
11
Not enough data
7.8
10
Not enough data
7.9
12
Field Service
Not enough data
8.1
12
Not enough data
8.3
9
Not enough data
7.5
8
Monitoring
Not enough data
7.4
12
Not enough data
8.3
11
Not enough data
7.3
11
Contract & Warranty
Not enough data
7.7
11
Not enough data
7.4
9
Not enough data
6.8
10
Analytics
Not enough data
8.3
15
Not enough data
8.1
15
Not enough data
7.8
12
Integration
Not enough data
9.1
13
Not enough data
6.3
8
Not enough data
8.3
14
Agentic AI - Enterprise Asset Management (EAM)
Not enough data
Not enough data
Logistics and Operations
Not enough data
6.9
7
Not enough data
6.9
6
Not enough data
7.4
7
Not enough data
8.3
8
Not enough data
8.1
7
Not enough data
7.4
9
Not enough data
6.1
9
Not enough data
8.3
7
Not enough data
7.5
8
Not enough data
7.9
8
Nonconformance
8.3
82
|
Verified
7.0
18
8.3
80
|
Verified
6.9
18
8.7
95
|
Verified
7.5
16
Quality system
9.0
100
|
Verified
7.6
20
8.1
92
|
Verified
7.3
17
7.7
84
|
Verified
7.3
19
Risk Management
Feature Not Available
6.3
15
7.6
64
|
Verified
6.3
13
7.6
66
|
Verified
6.7
18
Inspection Management
7.9
76
|
Verified
6.3
17
8.3
77
|
Verified
7.1
18
8.2
75
|
Verified
7.0
17
Compliance
8.2
72
|
Verified
7.0
15
7.7
62
|
Verified
6.8
13
7.9
69
|
Verified
6.8
14
Platform
7.8
72
|
Verified
6.5
21
8.6
82
|
Verified
7.4
23
6.9
73
|
Verified
6.3
15
7.9
84
|
Verified
6.8
23
Services
8.0
80
|
Verified
7.3
22
7.9
87
|
Verified
6.4
24
8.4
77
|
Verified
6.4
23
8.1
68
|
Verified
6.1
20
New Product Introduction
7.6
137
Not enough data
7.8
127
|
Verified
Not enough data
7.3
131
|
Verified
Not enough data
8.5
176
|
Verified
Not enough data
CAD
7.2
135
|
Verified
Not enough data
7.2
124
|
Verified
Not enough data
6.7
103
|
Verified
Not enough data
Collaboration
7.8
143
|
Verified
Not enough data
7.9
154
|
Verified
Not enough data
7.9
160
|
Verified
Not enough data
8.8
187
|
Verified
Not enough data
Product Data Management
8.2
152
|
Verified
Not enough data
8.6
163
|
Verified
Not enough data
8.8
187
|
Verified
Not enough data
Bill of Materials
8.9
196
|
Verified
Not enough data
8.8
191
|
Verified
Not enough data
8.6
180
|
Verified
Not enough data
8.2
174
|
Verified
Not enough data
Engineering Change Management
8.0
170
|
Verified
Not enough data
8.5
199
|
Verified
Not enough data
8.6
192
|
Verified
Not enough data
Simulation
7.1
89
|
Verified
Not enough data
7.1
92
|
Verified
Not enough data
7.2
91
|
Verified
Not enough data
Analytics
7.2
125
|
Verified
Not enough data
6.9
106
|
Verified
Not enough data
7.2
103
|
Verified
Not enough data
Quality management
7.7
117
|
Verified
Not enough data
8.2
135
|
Verified
Not enough data
8.0
130
|
Verified
Not enough data
Integration
7.2
110
|
Verified
Not enough data
6.8
80
|
Verified
Not enough data
6.9
80
|
Verified
Not enough data
7.3
89
|
Verified
Not enough data
Generative AI
6.8
37
Not enough data
Feature Not Available
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Before the Job
Not enough data
7.5
31
Not enough data
8.1
36
Not enough data
8.2
32
Not enough data
8.0
33
On the Job
Not enough data
7.9
39
Not enough data
7.8
38
Not enough data
7.7
31
Not enough data
7.4
32
Not enough data
7.3
11
After the Job
Not enough data
7.8
44
Not enough data
7.4
38
Not enough data
7.8
32
Not enough data
7.8
25
Agentic AI - Field Service Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Financial Management - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Procurement - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Human Resources - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Citizen Services - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Asset Management - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Compliance & Audit - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Data & Analytics - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
AI Capabilities - Government ERP
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
Arena PLM & QMS and IFS Cloud are categorized as Quality Management (QMS)
Unique Categories
Arena PLM & QMS is categorized as Product Lifecycle Management (PLM) and Medical QMS
IFS Cloud is categorized as ERP Systems, Field Service Management, Enterprise Asset Management (EAM), Aviation MRO, Mixed Mode ERP, Discrete ERP, Construction ERP, Process ERP, ETO ERP, and Government ERP
Reviews
Reviewers' Company Size
Arena PLM & QMS
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IFS Cloud
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
Medical Devices
35.0%
Electrical/Electronic Manufacturing
11.0%
Biotechnology
7.7%
Mechanical or Industrial Engineering
5.4%
Consumer Electronics
4.7%
Other
36.2%
Automotive
8.6%
Oil & Energy
8.3%
Information Technology and Services
7.1%
Manufacturing
5.3%
Construction
4.5%
Other
66.2%
Alternatives
Discussions
What does a PLM do?
2 Comments
KA
A PLM is the gate keeper for your intellectual property, and the avenue for your manufacturer to build the product per your specificationsRead more
Is Arena PLM more cost-effective than keeping an aging Agile PLM system with limited support?
1 Comment
Official Response from Arena PLM & QMS
Yes. Arena PLM is more cost‑effective than maintaining an aging Agile PLM system with limited support. As a cloud‑native platform, Arena eliminates...Read more
What is the best way to move legacy Agile PLM data (BOMs, suppliers, documents) into Arena Cloud PLM?
1 Comment
Official Response from Arena PLM & QMS
The best way to move from legacy Agile PLM data to Arena Cloud PLM is to leverage the expertise of migration experts, such as Arena solution architects and...Read more
What is IFS FSM?
2 Comments
SN
It’s IFS’s Field Service Module. This is a module developed by IFS to support field agents wherein they can key in requirements/service reports from remote...Read more
IFS Centralized Distribution Tool (ICDT)
1 Comment
JA
This can achieved by batch programming, VBA and Windows scheduler. No other tool required Read more
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