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At a Glance
Market Segments
Mid-Market (61.0% of reviews)
Mid-Market (40.0% of reviews)
Entry-Level Pricing
Starting at $250.00
$100.00 1 interfaces Per Month
Factbird
Star Rating
(59)4.6 out of 5
Market Segments
Mid-Market (61.0% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $250.00
Free Trial is available
Browse all 3 pricing plansTulip
Star Rating
(36)4.5 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
$100.00 1 interfaces Per Month
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Tulip excels in its Data Collection capabilities, scoring 9.4, which reviewers mention makes it easy to gather and analyze data effectively. In contrast, Factbird, while still strong, has a slightly lower score of 8.9 in this area.
- Reviewers mention that Factbird's Ease of Use is a standout feature, with a score of 9.2, making it more user-friendly compared to Tulip's score of 8.7. Users appreciate the intuitive interface that simplifies navigation.
- G2 users highlight Tulip's superior Quality of Support, scoring 9.0, with many reviewers praising the responsiveness and helpfulness of the support team. Factbird, while also rated well at 9.2, does not have as many positive mentions regarding support responsiveness.
- Users on G2 report that Tulip's Templates feature, scoring 8.5, allows for greater customization in workflows, which is a significant advantage for teams needing tailored solutions. Factbird does not have a comparable feature that stands out as much.
- Reviewers mention that Factbird's Analytics capabilities, particularly in Real-Time Monitoring, score 9.1, which users find beneficial for immediate insights. Tulip's score of 8.8 is good but does not match the immediacy that Factbird offers.
- Users say that Tulip's Flexibility in integration options, scoring 9.2, is a major plus, allowing for seamless connections with other systems. Factbird, while flexible, does not provide the same level of integration ease, which some users find limiting.
Pricing
Entry-Level Pricing
Factbird
Single site
Starting at $250.00
- See https://www.factbird.com/pricing
Tulip
Essentials
$100.00
1 interfaces Per Month
Guide operations with digital workflows.
Ideal for basic production visibility, quality, and assembly workflows.
- Apps on mobile, desktop, touchscreens, and wearables
- Tulip Tables
- Tulip Analytics
Free Trial
Factbird
Free Trial is available
Tulip
Free Trial is available
Ratings
Meets Requirements
8.6
55
8.3
27
Ease of Use
9.2
57
8.7
29
Ease of Setup
8.9
44
7.9
21
Ease of Admin
8.8
40
8.4
18
Quality of Support
9.3
50
9.0
27
Has the product been a good partner in doing business?
9.2
37
9.3
18
Product Direction (% positive)
9.8
55
10.0
28
Features by Category
Workflow & Automation
Not enough data
8.5
9
Not enough data
9.2
10
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Execution
Not enough data
8.7
9
Not enough data
8.3
10
Not enough data
8.2
10
Analytics & Reporting
Not enough data
9.0
10
Not enough data
9.5
10
Not enough data
8.7
10
Enterprise 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
Not enough data
Not enough data
Knowledge Capture
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.6
7
Agentic AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data & Integration
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
8.1
47
7.5
8
8.1
50
7.1
8
7.5
42
8.1
7
8.9
52
9.4
8
7.6
39
7.5
8
Analytics
8.3
50
8.3
8
9.1
52
8.8
8
8.1
51
7.5
8
Agentic AI - Manufacturing Intelligence
5.7
9
Not enough data
Guide Options
Not enough data
8.8
11
Not enough data
9.3
12
Not enough data
8.8
12
Not enough data
8.0
11
Not enough data
8.3
11
Guide Tools
Not enough data
8.2
10
Not enough data
7.9
11
Not enough data
7.9
11
Not enough data
7.7
11
Access Options
Not enough data
6.5
9
Not enough data
7.5
10
Not enough data
8.0
9
Systems Management
Not enough data
7.8
12
Not enough data
9.0
13
Not enough data
8.8
12
Not enough data
8.7
13
Not enough data
7.3
11
Not enough data
8.5
14
IoT Capabilities
Not enough data
8.1
13
Not enough data
8.1
12
Not enough data
7.9
11
Not enough data
8.2
12
Not enough data
8.8
12
Not enough data
9.0
12
Not enough data
7.9
12
Not enough data
8.2
13
Agentic AI - Industrial IoT
Not enough data
Not enough data
Nonconformance
Not enough data
7.8
10
Not enough data
7.7
8
Not enough data
7.3
8
Quality system
Not enough data
6.9
8
Not enough data
7.1
8
Not enough data
7.8
10
Risk Management
Not enough data
7.2
9
Not enough data
6.9
8
Not enough data
6.3
8
Inspection Management
Not enough data
8.0
9
Not enough data
7.7
10
Not enough data
7.7
10
Compliance
Not enough data
7.3
10
Not enough data
6.3
9
Not enough data
6.9
9
Platform
Not enough data
8.3
10
Not enough data
8.0
10
Not enough data
8.7
10
Not enough data
9.2
10
Services
Not enough data
9.2
10
Not enough data
9.2
10
Not enough data
9.5
10
Not enough data
9.2
10
Production Control - Manufacturing Execution System (MES)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Production Monitoring - Manufacturing Execution System (MES)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Collection and Analysis - Manufacturing Execution System (MES)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Manufacturing Execution System (MES)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence - Manufacturing Execution System (MES)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Manufacturing Execution System
Not enough data
Not enough data
Knowledge Base
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Content
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Communication
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
Factbird and Tulip are categorized as Connected Worker Platform, Work Instructions, and Manufacturing Intelligence
Unique Categories
Factbird has no unique categories
Tulip is categorized as Industrial IoT, Manufacturing Execution System, and Quality Management (QMS)
Reviews
Reviewers' Company Size
Factbird
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Tulip
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
Food Production
28.8%
Manufacturing
11.9%
Pharmaceuticals
11.9%
Food & Beverages
6.8%
Consumer Goods
6.8%
Other
33.9%
Manufacturing
37.1%
Pharmaceuticals
11.4%
Information Technology and Services
8.6%
Oil & Energy
5.7%
Industrial Automation
5.7%
Other
31.4%
Discussions
Factbird has no discussions with answers
What is tulip in manufacturing?
1 Comment
KA
Tulip is a software used to make internal apps for operators and managers. It can monitor machine uptime, automatically record measurements from tools,...Read more
Tulip has no more discussions with answers
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