
Recruitee
Breezy.hr
Zoho Recruit
OnPay
PeopleGoal
Tribe HR
EjobsiteSoftware
Crelate is flexible recruiting software for staffing, recruiting and executive search agencies. All-in-one Recruiting CRM + Applicant Tracking System.

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 | crelate.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
Crelate is recommended for staffing agencies, corporate recruiters, and HR departments looking for a powerful yet user-friendly applicant tracking system. It is particularly suitable for those who value customization and integration capabilities in their recruitment software.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Crelate Customer Testimonials
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Crelate 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 only score tools I’ve run with my own account, so this list splits in two. Manatal and Breezy HR carry tested verdicts from their own hands-on reviews; the process is documented in how WiserStaff tests tools. Zoho...
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 Crelate 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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