
Affiliatly
AffiliateWP
PayKickstart
Everflow
TradeDoubler
ReferralMagic
ShareASale
Create and manage your affiliate program in minutes, Test your hypothesis, pick the winning result and drive more affiliate revenue.

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 | promocate.com | github.com |
| Pricing | — | |
| Platforms | — | |
| Listed in |
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
Promocate is recommended for small to medium-sized businesses seeking to improve their marketing strategies without investing in extensive in-house resources. It is particularly beneficial for marketing teams that require a straightforward, yet powerful tool for executing and tracking promotional campaigns efficiently.
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 Promocate 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.


I have personally used Promocate for almost 4 months now. The customer support team is quick and we took advantage of free setup integration which was a very nice gesture from the promocate team. The Software is...
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 Promocate 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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