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Compare Botpress and Google Cloud Dialogflow 
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At a Glance
Market Segments
Small-Business (77.5% of reviews)
Small-Business (44.3% of reviews)
Entry-Level Pricing
Free Per Month
Pay As You Go Per Month
Botpress
Star Rating
(440)4.5 out of 5
Market Segments
Small-Business (77.5% of reviews)
Entry-Level Pricing
Free Per Month
Free Trial is available
Browse all 4 pricing plansGoogle Cloud Dialogflow
Star Rating
(136)4.4 out of 5
Market Segments
Small-Business (44.3% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Dialogflow excels in its Natural Language Understanding (NLU) capabilities, scoring 8.3, which allows for more accurate interpretation of user intents compared to Botpress, which scored slightly lower at 8.1. This makes Dialogflow a preferred choice for businesses focusing on complex conversational flows.
- Reviewers mention that Botpress offers a more user-friendly Customization Interface with a score of 8.3, making it easier for non-technical users to create and manage chatbots. In contrast, Dialogflow's interface, while powerful, can be more challenging for beginners.
- G2 users highlight that Botpress has a strong advantage in Cost Efficiency, offering a free entry-level price, which is appealing for small businesses. Google Cloud Dialogflow operates on a Pay As You Go model, which can lead to higher costs as usage increases.
- Users on G2 report that Google Cloud Dialogflow shines in Global Language Support, scoring 8.5, which is crucial for businesses operating in multiple regions. Botpress, while capable, does not match this level of support, making Dialogflow a better option for international applications.
- Reviewers mention that Botpress has a more robust Community Forum with a score of 6.8, providing users with better peer support and resources. In contrast, Dialogflow's community engagement is perceived as less active, which can be a drawback for users seeking assistance.
- Users say that Google Cloud Dialogflow's Product Direction is highly rated at 8.9, indicating a strong commitment to innovation and updates, while Botpress leads in this area with a score of 9.5, suggesting it may be more responsive to user feedback and evolving market needs.
Pricing
Entry-Level Pricing
Botpress
Pay-as-you-go
Free
Per Month
Includes:
- Visual building studio
- Free monthly AI credit
- Integration hub
Google Cloud Dialogflow
CX Agent
Pay As You Go
Per Month
Provides an advanced agent type suitable for large or very complex agents.
- Text (includes all DetectIntent, StreamingDetectIntent, FulfillIntent, AnalyzeContent, and StreamingAnalyzeContent requests that do not contain audio)
- Audio input/output (speech recognition, speech-to-text, STT, speech synthesis, text-to-speech, TTS, telephony)
- Design-time requests (For example, calls to build or update an agent. This also includes text and audio runtime requests sent by the Dialogflow Console simulator)
Free Trial
Botpress
Free Trial is available
Google Cloud Dialogflow
Free Trial is available
Ratings
Meets Requirements
8.4
335
8.5
105
Ease of Use
8.4
343
8.7
108
Ease of Setup
8.5
248
8.7
61
Ease of Admin
8.5
198
8.6
52
Quality of Support
8.0
289
8.4
93
Has the product been a good partner in doing business?
8.5
187
8.7
46
Product Direction (% positive)
9.5
342
8.8
104
Features by Category
Core Conversational Capabilities - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data
Not enough data
9.0
19
Not enough data
9.4
18
Interaction
Not enough data
8.6
18
Not enough data
9.1
19
Not enough data
8.9
17
Not enough data
9.0
19
Not enough data
8.4
18
Task & Flow Management - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Learning
Not enough data
8.8
17
Not enough data
8.9
20
Deployment & Embedding - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Content Generation
Not enough data
9.0
18
Not enough data
9.0
20
Admin & Configuration - AI Chatbots
Not enough data
Not enough data
System
Not enough data
9.0
17
Not enough data
9.0
17
Not enough data
9.0
19
Not enough data
9.1
20
Agentic AI - AI Chatbots
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
8.5
8
Not enough data
9.6
8
Not enough data
9.2
8
Not enough data
9.6
8
Not enough data
9.4
8
Monitoring & Improvement - AI Chatbots
Not enough data
Not enough data
Reliability & Safety - AI Chatbots
Not enough data
Not enough data
Messenger
8.3
61
Not enough data
8.6
64
Not enough data
7.9
61
Not enough data
8.5
62
Not enough data
Channels
7.8
59
Not enough data
8.8
62
Not enough data
7.1
57
Not enough data
6.6
56
Not enough data
7.7
55
Not enough data
Customers
8.0
58
Not enough data
8.0
57
Not enough data
8.0
58
Not enough data
8.7
58
Not enough data
8.2
54
Not enough data
Agentic AI - Conversational Marketing
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
Compatibility
Not enough data
8.9
22
Not enough data
8.9
22
Not enough data
8.7
23
Agentic AI - Enterprise Search Software
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
Search Queries
Not enough data
8.9
22
Not enough data
9.2
22
Not enough data
8.7
22
Not enough data
9.1
20
Not enough data
9.3
23
AI powered search - Enterprise Search Software
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
8.7
23
Not enough data
9.0
21
Not enough data
9.1
21
Compatibility - Enterprise Search Software
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - Enterprise Search Software
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Search Queries - Enterprise Search Software
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Responses
8.5
201
Not enough data
8.2
197
Not enough data
7.6
195
Not enough data
8.1
194
Not enough data
7.8
188
Not enough data
Platform
7.9
193
Not enough data
8.2
198
Not enough data
8.0
197
Not enough data
7.8
192
Not enough data
7.2
188
Not enough data
8.0
192
Not enough data
8.2
193
Not enough data
Generative AI
8.3
145
Not enough data
8.2
141
Not enough data
Generative AI
8.4
134
8.6
31
8.2
131
8.7
33
Agentic AI - Bot Platforms
7.7
8
9.7
5
7.5
8
9.7
5
7.3
8
9.7
5
6.5
8
9.7
5
7.5
8
9.7
5
7.1
8
9.7
5
7.9
8
10.0
5
Generative AI
8.3
102
Not enough data
Self-Service Experience
8.0
116
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
7.2
113
Not enough data
8.0
112
Not enough data
Self-Service Platform
7.8
113
Not enough data
8.6
115
Not enough data
8.7
114
Not enough data
8.3
113
Not enough data
Agentic AI - Customer Self-Service
8.3
13
Not enough data
7.7
14
Not enough data
8.0
14
Not enough data
7.6
14
Not enough data
8.0
14
Not enough data
7.7
14
Not enough data
8.5
13
Not enough data
Scalability and Performance - Generative AI Infrastructure
8.3
29
Not enough data
8.2
29
Not enough data
8.2
29
Not enough data
Cost and Efficiency - Generative AI Infrastructure
8.0
30
Not enough data
8.2
30
Not enough data
8.5
24
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.0
29
Not enough data
8.3
28
Not enough data
8.4
29
Not enough data
Security and Compliance - Generative AI Infrastructure
8.3
28
Not enough data
8.2
29
Not enough data
7.8
23
Not enough data
Usability and Support - Generative AI Infrastructure
8.0
28
Not enough data
8.3
28
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
7.7
12
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.8
8
Not enough data
7.7
8
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.3
8
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
7.3
8
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
6.9
8
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
6.3
8
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
9.0
8
Not enough data
7.9
8
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
8.1
8
Not enough data
6.7
8
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
7.9
8
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
8.3
8
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
8.1
8
Not enough data
Customization - AI Agent Builders
7.8
31
Not enough data
7.4
30
Not enough data
7.5
31
Not enough data
Functionality - AI Agent Builders
7.4
29
Not enough data
8.1
29
Not enough data
7.7
30
Not enough data
7.2
29
Not enough data
Data and Analytics - AI Agent Builders
7.3
31
Not enough data
7.8
31
Not enough data
8.1
31
Not enough data
Integration - AI Agent Builders
8.0
31
Not enough data
7.5
31
Not enough data
7.4
31
Not enough data
7.2
30
Not enough data
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
Categories
Categories
Shared Categories
Botpress and Google Cloud Dialogflow are categorized as Bot Platforms
Unique Categories
Botpress is categorized as AI Agent Builders, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, Conversational Marketing, Chatbots, Customer Self-Service, and AI Orchestration
Google Cloud Dialogflow is categorized as AI Chatbots and Enterprise Search Software
Reviews
Reviewers' Company Size
Botpress
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dialogflow
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
15.3%
Computer Software
9.9%
Marketing and Advertising
9.6%
Consulting
6.5%
Higher Education
3.7%
Other
55.1%
Information Technology and Services
26.0%
Computer Software
18.3%
Consulting
4.6%
Telecommunications
4.6%
Hospital & Health Care
3.8%
Other
42.7%
Discussions
Is Botpress open source?
3 Comments
MD
Ye, Botpress is an open source platform. It helps developers to create and manage chatbots for various applications both on the cloud and localhost studioRead more
How do you use Botpress?
2 Comments
MD
I use bot press on the cloud platform for designing chatbots it's an amazing tool to develop GUI-based chatbots and integrate with other websites. Read more
Is Botpress good?
2 Comments
KK
Yes Botpress is very good and provides all the required featuresRead more
What is Google Cloud Dialogflow used for?
2 Comments
MS
It is basically used to create Chatbots, Voice Assistants and such interactive things with the help of NLPRead more
Is Dialogflow safe?
1 Comment
AS
Yes very safe and trusted, you can securely work your data and flow are saved and adequate permissions and access are available tooRead more
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