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Customer support automation platform with live chat and chatbots

FriendlyData
Infer SQL queries from plain-text questions and table headers.

Which is more popular?
Based on our record, mlsql should be more popular than Kommunicate. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | kommunicate.io | github.com |
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In their own words, as submitted to SaaSHub.


Kommunicate is a world-beating customer support solution made by team Intentive. At Intentive, we have empowered 1000+ businesses with in-app messaging solutions. Being in the SaaS scenario for more than five years, we have embarked on a new journey to provide an all-in-one customer support...
No description of mlsql yet.
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of Kommunicate yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Live Chat Plugin Review | Chat Bot | Customer Service | Kommunicate
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Kommunicate and mlsql. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Kommunicate boasts seamless integrations with an array of third-party tools and services such as AWS, Dialogflow, Zendesk, Google Analytics, among others, enriching the functionality of your chatbot. Its user-friendly...
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Recommendations tracked on public social media and blogs since March 2021.


Dialogflow Messenger is relatively limited. I'm searching for a front end solution that ideally also provides a live agent handoff. http://kommunicate.io seemed like the perfect fit, however, they don't support Dialogflow environments,... Source: almost 4 years ago
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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