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

Slack
Jive Chime
Pluot Communications
Microsoft Teams
Missive
Ring
Dialogs by Slack
Collaborate (efficiently) Conclude (fast) Contribute (in the knowledge base)

Which is more popular?
Based on our record, mlsql seems to be more popular. 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 | 9mcollab.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | 2019 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
9mCollab is an organization management tool that enables logically structured, conclusion-driven collaboration. It’s built for organizations and team members to enjoy conclusive discussions and faster decision making with less information noise and distraction. It helps to translate the results...
What each product offers, as listed by its team.


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Recommended for
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9mCollab - how to structure your discussions, create valuable conclusions and share knowledge
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Share your experience with using mlsql and 9mCollab. For example, how are they different and which one is better?
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
Tracking 9mCollab since Mar 2021.
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