
Post Affiliate Pro
ShareASale
Affiliatly
TrackingDesk
Refersion
LeadDyno
SkimLinks
Tradedoubler is an internet marketing company providing services for merchants to promote their products and services.

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 | tradedoubler.com | github.com |
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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
TradeDoubler is particularly recommended for businesses and marketers who are looking to expand their reach in European markets and need a reliable platform for managing affiliate marketing campaigns. It is also suitable for publishers who want to monetize their websites with a diverse range of advertising partners.
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 TradeDoubler 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.


Tradedoubler was founded in 1999 by two young Swedish entrepreneurs. They have offices in the UK and multiple countries throughout Europe, including Sweden, Germany, France, Poland and Spain. Their focus has always...
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 TradeDoubler 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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