Azure Bot Service (Microsoft Bot Framework) vs. Google Cloud Dialogflow

It is suited for applications like computerizing messages, or any business thought that would require the entrepreneur to robotize their reactions, particularly assuming they are managing a ton of clients and they can't answer to every single one of them. It'd be the most ideal to computerize messages of enormous associations where the reactions measure up to the clients' assumptions. It would be less appropriate in associations where clients' viewpoints matter and every client is interesting and requires the association's consideration, where the specialist organization doesn't need to sum up the clients' interests.

Indicated for those who have good knowledge of programming and coding in HTML and JSON, that is, it is not suitable for beginners or users without much technical knowledge. It is suitable for those who want to integrate with various platforms, such as Telegram, Webhat, Facebook Messenger, among others. I also recommend it to anyone who needs to create a chatbot in several languages (it is not automatic translation). Recommended to create new projects in CX environment and not in ES.

Incentivized

• Real-time communication.
• Lightweight software protocols.

Incentivized

• Best user interface
• Advanced training modules
• Best NLP and NLU engine

• They have simplified the coding for the bot in Azure, but it would help if the coding was further simplified so that non-IT can operate [and] create it easily.

• Some of the features are still in beta phase.
• The languages available are still limited.
• The advanced features may not be accessible to new users.

Incentivized

Azure Bot Service provides an integrated environment for bot development. Microsoft Azure Cloud is fully compatible and its security features. It's more important to pay attention to the logic of business than the specifics of each messenger. We don't have any issues using the bot framework because the implementation is excellent.

Incentivized

It just delivers, even being somewhat rough to get used to it. Users just love it as it feels polished - very well balanced, good chat flows, good workflows, good response time and good usability. It's just somewhat complicated to setup at first glance though, with a semi steep learning curve compared to other solutions around the market.

Incentivized

Support is helpful when we have a problem, but online documentation is lacking

Dialogflow is a wonderful tool that is helping to design customized chatbots. I personally recommend if you wanna know how it's works give it a try with a free APIs call, you'll love this tool

Incentivized

Microsoft Bot Framework is much better and well more established without a lot of proprietary software/coding language. Lex is very limited with integration with standard hardware and network configurations. Lex has performance issues and was too slow to meet near real-time collaboration requirements. Bot Framework complements many other Microsoft communication products and this was key to implementing without a lot of new training required.

Incentivized

• Interfaces with the SQL data set, tracks down plans/replies, and tests them with the SDK.
• Utilizing the system is made conceivable by the Bot Dev gateway. We can interface our bot in excess of ten channels, including Twilio Facebook, Twilio, Twilio, and Slack, and that's only the tip of the iceberg.
• It is expensive.

• Robust platform
• Reliability and security
• Highly scalable for professional usage