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At a Glance
Market Segments
Mid-Market (56.5% of reviews)
Mid-Market (40.0% of reviews)
Entry-Level Pricing
No pricing available
$100.00 1 interfaces Per Month
L2L
Star Rating
(117)4.3 out of 5
Market Segments
Mid-Market (56.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about L2LTulip
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.
- Reviews say that Tulip excels in its Drag and Drop Editor with a score of 9.3, making it easier for users to create workflows without extensive technical knowledge, while L2L's editor received a lower score of 7.7, indicating a less intuitive experience.
- Users report that Tulip's Data Collection feature is highly rated at 9.4, allowing for efficient and accurate data gathering, whereas L2L's data collection capabilities scored 8.7, suggesting room for improvement in this area.
- Reviewers mention that Tulip's Quality of Support is outstanding, with a score of 9.0, highlighting responsive customer service, while L2L's support scored 8.2, indicating a satisfactory but less impressive support experience.
- G2 users note that Tulip's Workflows feature is rated at 9.2, providing robust options for process automation, compared to L2L's score of 7.7, which suggests that users may find fewer options or flexibility in creating workflows.
- Users on G2 highlight Tulip's Product Direction score of 10.0, indicating strong confidence in the product's future development, while L2L's score of 8.8 suggests a solid but less enthusiastic outlook from its users.
- Reviewers mention that Tulip's Ease of Use is rated at 8.7, making it user-friendly for teams, while L2L's score of 8.2 indicates that it may require a steeper learning curve for new users.
Pricing
Entry-Level Pricing
L2L
No pricing availableTulip
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
L2L
No trial information availableTulip
Free Trial is available
Ratings
Meets Requirements
8.5
99
8.3
27
Ease of Use
8.2
102
8.7
29
Ease of Setup
8.0
66
7.9
21
Ease of Admin
8.4
46
8.4
18
Quality of Support
8.6
89
9.0
27
Has the product been a good partner in doing business?
8.9
44
9.3
18
Product Direction (% positive)
9.2
100
10.0
28
Features by Category
Planning
8.6
26
Not enough data
8.3
27
Not enough data
8.4
27
Not enough data
8.5
26
Not enough data
Scheduling
8.2
27
Not enough data
8.7
25
Not enough data
8.4
29
Not enough data
Agentic AI - Advanced Planning and Scheduling (APS)
8.3
8
Not enough data
Workflow & Automation
8.1
35
8.5
9
8.1
34
9.2
10
6.9
6
Not enough data
7.2
6
Not enough data
7.2
6
Not enough data
Execution
7.7
36
8.7
9
8.3
36
8.3
10
7.7
34
8.2
10
Analytics & Reporting
8.3
35
9.0
10
7.7
34
9.5
10
8.0
34
8.7
10
Enterprise Management
7.5
6
Not enough data
6.7
7
Not enough data
5.5
7
Not enough data
7.8
6
Not enough data
7.8
6
Not enough data
Knowledge Capture
7.2
6
Not enough data
7.3
5
Not enough data
7.5
6
Not enough data
6.0
5
Not enough data
Generative AI
5.6
31
8.3
6
5.5
32
8.3
6
5.3
32
8.6
7
Agentic AI
5.3
6
Not enough data
4.0
5
Not enough data
4.0
5
Not enough data
Data & Integration
8.3
6
Not enough data
7.5
6
Not enough data
Data Management
8.1
25
7.5
8
8.2
25
7.1
8
8.0
22
8.1
7
8.6
25
9.4
8
8.3
23
7.5
8
Analytics
8.1
25
8.3
8
8.7
26
8.8
8
8.7
26
7.5
8
Agentic AI - Manufacturing Intelligence
5.7
5
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
Asset Definition
7.7
14
Not enough data
7.4
14
Not enough data
6.9
13
Not enough data
7.2
13
Not enough data
Asset Tracking
Feature Not Available
Not enough data
7.8
13
Not enough data
8.7
14
Not enough data
Inventory
7.4
12
Not enough data
7.4
12
Not enough data
7.0
11
Not enough data
Depreciation
Feature Not Available
Not enough data
6.7
5
Not enough data
Feature Not Available
Not enough data
5.7
5
Not enough data
Maintenance
8.1
13
Not enough data
8.3
13
Not enough data
8.1
14
Not enough data
8.4
15
Not enough data
8.3
14
Not enough data
7.9
13
Not enough data
Field Service
7.8
12
Not enough data
7.9
13
Not enough data
Feature Not Available
Not enough data
Monitoring
7.8
13
Not enough data
8.2
13
Not enough data
6.8
11
Not enough data
Contract & Warranty
6.4
11
Not enough data
6.0
10
Not enough data
6.5
11
Not enough data
Analytics
7.6
13
Not enough data
7.9
13
Not enough data
6.9
12
Not enough data
Integration
7.2
12
Not enough data
6.4
12
Not enough data
7.1
12
Not enough data
Agentic AI - Enterprise Asset Management (EAM)
Not enough data
Not enough data
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
Condition Monitoring
7.9
39
Not enough data
8.1
37
Not enough data
8.0
38
Not enough data
7.6
36
Not enough data
6.6
33
Not enough data
Detection & Identification
7.1
35
Not enough data
7.0
35
Not enough data
7.9
35
Not enough data
Analysis & Insights
7.4
37
Not enough data
7.7
37
Not enough data
7.2
35
Not enough data
Agentic AI - Predictive Maintenance
6.0
5
Not enough data
Production Control - Manufacturing Execution System (MES)
8.1
9
Not enough data
9.5
10
Not enough data
8.5
10
Not enough data
Production Monitoring - Manufacturing Execution System (MES)
6.7
9
Not enough data
8.0
9
Not enough data
7.8
9
Not enough data
Data Collection and Analysis - Manufacturing Execution System (MES)
6.7
9
Not enough data
7.0
10
Not enough data
6.9
9
Not enough data
7.2
9
Not enough data
Integration - Manufacturing Execution System (MES)
7.0
10
Not enough data
7.7
10
Not enough data
7.0
9
Not enough data
Artificial Intelligence - Manufacturing Execution System (MES)
4.8
9
Not enough data
6.1
9
Not enough data
5.0
8
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
CMMS Platform Features
7.9
24
Not enough data
8.2
24
Not enough data
7.8
23
Not enough data
7.4
24
Not enough data
8.3
24
Not enough data
7.9
24
Not enough data
7.6
23
Not enough data
7.0
22
Not enough data
6.0
20
Not enough data
8.4
25
Not enough data
Categories
Categories
Shared Categories
L2L and Tulip are categorized as Manufacturing Execution System, Manufacturing Intelligence, and Connected Worker Platform
Unique Categories
L2L is categorized as Predictive Maintenance, CMMS, Enterprise Asset Management (EAM), and Advanced Planning and Scheduling (APS)
Reviews
Reviewers' Company Size
L2L
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
Manufacturing
31.3%
Automotive
30.4%
Oil & Energy
6.1%
Electrical/Electronic Manufacturing
4.3%
Food Production
3.5%
Other
24.3%
Manufacturing
37.1%
Pharmaceuticals
11.4%
Information Technology and Services
8.6%
Oil & Energy
5.7%
Industrial Automation
5.7%
Other
31.4%
Discussions
L2L 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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