
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 Narrandum. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | narrandum.com |
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| Company | — | 2020 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Narrandum is a freemium service which enables anybody to make beautiful customer journeys and user personas, lightning fast. We use an innovative and fun approach based on good old-fashioned storytelling to help you really understand your customers’ needs, goals, hopes and fears.
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
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Narrandum | The ultimate customer journey mapping tool | Digital co-creation for remote teams
How often each product is chosen within a category, 0–100% relative to the other.


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


We have no reviews of mlsql yet. Be the first one to post
Narrandum isn't like the other tools in this field at all. It's definitely a little weird. But it's cool that they're trying something different. Even though it's still in beta, I found it really fast and slick to...
Recommendations tracked on public social media and blogs since March 2021.


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
Narrandum - Customer journey mapping tool built using Vue.js, Vuetify, and Feathersjs. - Source: dev.to / about 5 years ago
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