Compare RAML and Workato 
At a Glance
Market Segments
Enterprise (72.7% of reviews)
Mid-Market (44.6% of reviews)
Entry-Level Pricing
No pricing available
Free 50000 Credits
RAML
Star Rating
(42)4.4 out of 5
Market Segments
Enterprise (72.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about RAMLWorkato
Star Rating
(752)4.7 out of 5
Market Segments
Mid-Market (44.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free 50000 Credits
Free Trial is available
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Workato excels in user experience, with its intuitive design making it accessible for both technical and non-technical users. The platform's "Recipe" approach allows users to visualize workflows clearly, making complex tasks feel manageable.
- Users say that RAML is beneficial for developers looking to create the initial structure of APIs. Its readability and documentation capabilities help clients understand service operations, although it may not be as user-friendly for non-developers compared to Workato.
- Reviewers mention that Workato's extensive library of over 1,000 pre-built connectors significantly enhances its usability, allowing for seamless integration with popular applications like Salesforce and Slack, which is a major advantage for teams needing quick setup.
- According to verified reviews, while RAML offers strong features for API design, it faces challenges in overall support quality, with users rating it lower than Workato. This can impact teams that require robust assistance during implementation.
- Users highlight that Workato's high ratings in scalability and orchestration make it a preferred choice for mid-market companies looking to automate complex workflows efficiently, whereas RAML is more suited for enterprise-level API design but may lack the same level of flexibility.
- Reviewers note that Workato's strong focus on product direction and continuous improvement is reflected in its high satisfaction scores, while RAML's lower ratings in this area suggest potential stagnation, which could be a concern for long-term users.
Pricing
Entry-Level Pricing
RAML
No pricing availableWorkato
Free
Free
50000 Credits
Best for getting started and building your first AI-powered workflows
- Enterprise MCP & AI agents
- Workflow orchestration
- API management
Free Trial
RAML
No trial information availableWorkato
Free Trial is available
Ratings
Meets Requirements
8.6
16
9.0
601
Ease of Use
8.1
17
9.0
611
Ease of Setup
9.4
11
8.9
482
Ease of Admin
8.8
11
9.0
372
Quality of Support
7.5
14
9.2
587
Has the product been a good partner in doing business?
8.1
9
9.4
369
Product Direction (% positive)
7.1
16
9.5
586
Features by Category
Management
Not enough data
7.8
116
Not enough data
8.3
123
Functionality
Not enough data
8.8
130
Not enough data
8.7
133
Not enough data
8.9
130
Not enough data
9.2
142
Not enough data
9.0
131
Management
Not enough data
8.1
24
Not enough data
8.8
24
Not enough data
9.0
24
Not enough data
8.7
25
Solution Provision
Not enough data
8.3
25
Not enough data
7.5
25
Not enough data
8.3
23
Development
8.8
8
9.4
32
8.7
9
9.3
31
8.1
7
9.7
32
7.9
8
9.4
31
Collaboration
8.1
9
8.9
30
8.1
9
8.9
31
8.9
9
9.3
30
Development
Not enough data
9.1
275
Not enough data
8.4
176
|
Verified
Not enough data
9.0
205
|
Verified
Not enough data
8.8
217
|
Verified
Not enough data
8.5
196
|
Verified
Not enough data
9.1
192
Not enough data
8.6
165
Management
Not enough data
8.7
195
|
Verified
Not enough data
8.8
187
|
Verified
Not enough data
8.9
195
|
Verified
Not enough data
8.7
191
|
Verified
Not enough data
8.8
166
Security
Not enough data
8.8
171
|
Verified
Not enough data
8.9
178
|
Verified
Not enough data
9.0
174
|
Verified
Integration Options
Not enough data
8.7
165
|
Verified
Not enough data
8.6
165
|
Verified
Not enough data
8.1
159
|
Verified
Not enough data
7.9
144
|
Verified
Deployment
Not enough data
8.7
160
Not enough data
9.0
170
Conversational 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
Support Automation
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
Not enough data
Not enough data
Not enough data
Data
Not enough data
9.2
107
Development
Not enough data
9.1
114
Not enough data
8.9
109
Security
Not enough data
9.1
108
Not enough data
8.9
105
Management
Not enough data
9.0
104
Not enough data
8.6
95
Not enough data
9.2
104
Not enough data
9.1
90
Not enough data
8.8
93
Not enough data
8.9
93
Application Integration
Not enough data
9.0
89
Not enough data
9.2
92
Not enough data
9.5
92
Not enough data
9.2
91
Data Management
Not enough data
9.3
12
Not enough data
8.8
12
Not enough data
9.2
12
Not enough data
9.3
12
Not enough data
8.2
11
Functionality
Not enough data
9.1
11
Not enough data
9.9
13
Not enough data
9.7
13
Not enough data
9.6
12
Not enough data
9.3
12
Not enough data
9.2
11
Not enough data
8.8
11
Security
Not enough data
9.1
11
Not enough data
9.2
11
Generative AI
Not enough data
8.2
11
Functionality
Not enough data
8.7
13
Not enough data
9.2
13
Not enough data
9.1
13
Governance
Not enough data
9.0
13
Not enough data
9.1
13
Not enough data
9.1
13
Scalability and Performance - Generative AI Infrastructure
Not enough data
10.0
5
Not enough data
9.7
5
Not enough data
10.0
5
Cost and Efficiency - Generative AI Infrastructure
Not enough data
9.7
5
Not enough data
10.0
5
Not enough data
10.0
5
Integration and Extensibility - Generative AI Infrastructure
Not enough data
10.0
5
Not enough data
9.0
5
Not enough data
9.7
5
Security and Compliance - Generative AI Infrastructure
Not enough data
9.0
5
Not enough data
9.0
5
Not enough data
10.0
5
Usability and Support - Generative AI Infrastructure
Not enough data
10.0
6
Not enough data
10.0
5
Functionality - Process Orchestration
Not enough data
8.4
53
Not enough data
8.9
55
Not enough data
9.3
64
Not enough data
9.4
59
Not enough data
9.0
51
Integration & Adaptability - Process Orchestration
Not enough data
9.3
55
Not enough data
9.2
54
Not enough data
8.9
58
Not enough data
8.8
56
Not enough data
8.7
53
Not enough data
8.7
51
Not enough data
8.9
51
Not enough data
8.9
51
Customization - AI Agent Builders
Not enough data
9.0
13
Not enough data
9.0
13
Not enough data
9.2
11
Functionality - AI Agent Builders
Not enough data
9.0
12
Not enough data
8.9
12
Not enough data
9.0
12
Not enough data
8.7
13
Data and Analytics - AI Agent Builders
Not enough data
9.3
10
Not enough data
9.5
10
Not enough data
9.0
10
Integration - AI Agent Builders
Not enough data
9.1
13
Not enough data
9.3
10
Not enough data
9.4
11
Not enough data
9.4
13
Workflow Design & Integration - AI Orchestration
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
Performance Optimization & Analytics - AI Orchestration
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
Governance & Compliance Controls - AI Orchestration
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
Agentic AI - Productivity Bots
Not enough data
9.4
8
Not enough data
9.2
6
Not enough data
8.3
6
Not enough data
8.9
6
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
Reporting
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
API Construction
Not enough data
8.8
182
Not enough data
8.9
177
Not enough data
8.9
176
Not enough data
9.0
186
API Management
Not enough data
8.7
164
Not enough data
8.4
183
Not enough data
8.7
183
Not enough data
Feature Not Available
Not enough data
8.5
163
Data Integration
Not enough data
9.3
198
Not enough data
8.8
186
Not enough data
8.5
166
Categories
Categories
Shared Categories
RAML and Workato are categorized as API Development
Unique Categories
RAML has no unique categories
Workato is categorized as Embedded Integration Platforms, Reverse ETL, Data Replication, API Management, AI Agent Builders, API Generation, Big Data Integration Platforms, iPaaS, Process Orchestration, ETL Tools, Conversational Support, Generative AI Infrastructure, Productivity Bots, and AI Orchestration
Reviews
Reviewers' Company Size
RAML
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Workato
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
18.2%
Computer Software
12.1%
Retail
9.1%
Banking
9.1%
Investment Banking
6.1%
Other
45.5%
Computer Software
22.9%
Information Technology and Services
20.2%
Financial Services
5.4%
Retail
3.7%
Construction
2.9%
Other
44.9%
Alternatives
Discussions
What is Raml used for?
1 Comment
LR
Api specification developmentRead more
G Fuel Tier List
1 Comment
RP
I would say that Erikson is the G Fuel flavors of Tier List that you should choose when it comes to the finest and strongest options. Just like many other...Read more
RAML has no more discussions with answers
What is a Workato recipe?
3 Comments
GM
The recipe is Workato's main asset which houses the step-by-step integration process. In it you can build the flows and connect multiple applications.Read more
Are on-premise applications and databases supported?
2 Comments
Official Response from Workato
Yes, we support on-premise applications, databases and even your own custom application that can be connected with REST, SOAP. To connect to on-premise...Read more
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