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

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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 | contactually.com |
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In their own words, as submitted to SaaSHub.


No description of mlsql yet.
www.contactually.comSoftware by Contactually
What each product offers, as listed by its team.


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Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Contactually was ideal for real estate agents, consultants, and other professionals who needed to manage a large volume of relationships and wanted a CRM that offered more personal interaction capabilities. For current alternatives, users should assess CRM tools that emphasize relationship-focused features similar to those Contactually offered.
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How often each product is chosen within a category, 0–100% relative to the other.


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


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Pros: Contactually is available via mobile and desktop. By connecting your email you can sync your contacts and communication history. This software allows you to prioritize the relationships that will be the most...
https://www.contactually.com/ Contactually is a lite CRM that does a fantastic job of keeping you on top of your relationships. With a mobile and web based solution, Contactually provides a great system to grow and...
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 Contactually since Mar 2021.
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