Google Dialogflow vs Rasa comparison

We compared Google Dialogflow and Rasa based on our user's reviews in several parameters.

Google Dialogflow is praised for its robust capabilities in creating conversational agents, user-friendly interface, and reasonable pricing with positive ROI. However, it faces challenges in handling complex conversations and accuracy. Conversely, Rasa excels in robustness, flexibility, and NLP capabilities, with seamless integration and extensive documentation, but also requires some enhancements in functionality.

Features: Google Dialogflow is highly regarded for its robust conversational agent creation capabilities, ease of integration with various platforms, and intuitive interface. Rasa shines with its robustness, flexibility, seamless integration, and extensive documentation, while emphasizing its active community and supportive team.

Pricing and ROI: While both Google Dialogflow and Rasa offer reasonable pricing and straightforward setup costs, Google Dialogflow users appreciate the minimal and straightforward setup cost, while Rasa users mention the straightforward and hassle-free setup cost. Additionally, Google Dialogflow provides users with fair and flexible licensing options, while Rasa offers flexibility and clarity in its licensing model., Users of Google Dialogflow have highlighted its ease of use, ability to handle large volumes of data, and impact on increasing sales and customer satisfaction. On the other hand, Rasa has been praised for its effectiveness in enhancing customer interactions, improving efficiency, and driving revenue growth.

Room for Improvement: While Google Dialogflow users highlight the need for improved handling of complex conversations, better accuracy, and enhanced integration, Rasa users suggest further development and refinement in certain aspects of its functionality.

Deployment and customer support: The user feedback for Google Dialogflow indicates varying durations for deployment, setup, or implementation. Some users reported needing 3 months for deployment and an extra week for setup, while others mentioned a week for both. On the other hand, Rasa users had different timelines, with some spending 3 months on deployment and a week on setup, while others spent a week for both., Google Dialogflow's customer service is highly praised for its helpfulness, promptness, and knowledgeability. Users appreciate the ease of getting assistance and timely issue resolution. Rasa's customer service has also received positive feedback, with users praising their responsiveness, effectiveness, and overall satisfaction with the support provided.

The summary above is based on user interviews we conducted recently with Google Dialogflow and Rasa users. To access the review's full transcripts, download our report.