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

Vendr
Zylo
Blissfully
Productiv
Torii
Zluri
Cledara
Sastrify is a leading SaaS Spend Management and Procurement Software. We discover, manage your SaaS licenses and negotiate the best prices on the market saving you 30% or more on your SaaS Stack.
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 | github.com | sastrify.com |
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In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Sastrify is a leading SaaS Spend Management and Procurement Software. Companies like Gorillas, Pitch and Mollie already partner with Sastrify to optimize their SaaS spend. We discover, manage your SaaS licenses and negotiate the best prices on the market saving you 30% or more on your SaaS Stack.
What each product offers, as listed by its team.


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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
Sastrify is recommended for businesses seeking to optimize their software costs and streamline the management of multiple SaaS subscriptions. It is particularly beneficial for medium to large enterprises with complex SaaS landscapes, providing value through efficient cost management and process automation.
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Focus on what matters. We handle your SaaS subscriptions for you: renewals, negotiations, and cost monitoring. Bring transparency to your SaaS stack, get rid of underutilized licenses and get the best prices without wasting your time in vendor negotiations.
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Share your experience with using mlsql and Sastrify. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 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
Tracking Sastrify since Mar 2021.
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