
Majestic
Moz
UpCity
Ahrefs
Brightedge
SEMRush
Serpstat
Feefo is an independent reviews and insight platform dedicated to enhancing customer experience. Feefo gives you the tools and insight to build relationships, improve your brand reputation and make informed decisions for the future.

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

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 | feefo.com | github.com |
| Pricing | — | |
| Company | Startup from the United Kingdom · 100 - 249 employees | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Feefo offers more than just stars. We bring your brand to life with the power of customer feedback. Enriched insights, intuitive features, expert advice: everything you need to transform your customers experience – from discovery to advocacy. From solopreneurs to enterprise, we’ve got a range of...
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.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Feefo 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.


Feefo is a customer feedback tool that works almost the same as TrustPilot. This online review tool sends out emails inviting customers to provide reviews. Like having customisation options at your fingertips? You can...
We have no reviews of mlsql yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Tracking Feefo since Mar 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
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