
Podium
Birdeye
AppFollow
ReviewTrackers
NiceJob
Grade.us
Effortless Reviews
Never miss a review again All your reviews, straight to your favourite slack channel.

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 | reviewflowz.com | github.com |
| Pricing | — | |
| Platforms | — | |
| Company | 2021 | — |
| Listed in |
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
ReviewFlowz is recommended for businesses that want to improve their customer feedback management process, who need a straightforward tool for aggregating reviews from multiple sources, and who value insightful analytics to enhance their customer satisfaction strategies.
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 ReviewFlowz 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.


Reviewflowz is a win! Easy to use, basic features and just does the job. I was able to set up review monitoring on Capterra in less than 5 minutes!
We use reviewflowz to monitor our customer reviews on a few platforms. It's super reassuring to know we'll be notified within 4h if we ever get a bad review.
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 ReviewFlowz since Jun 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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