
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 | github.com | demarka.io |
| Pricing | — | |
| Company | — | Startup from Portugal · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Demarka is an AI-powered trademark clearance and monitoring platform for founders, SMBs, brand and creative agencies, in-house IP teams, and boutique IP firms. Enter a mark, describe the goods or services, and choose your target countries. Demarka runs a 10-layer search across 100M+ registered...
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
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DEMARKA VW AUTOPARTS RECAMBIOS PEÇAS ONLINE
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing mlsql and Demarka.
Demarka's answer:
Demarka is a trademark search tool that provides a clear registrability verdict with probability — not just a list of similar trademarks.
It combines trademark search, similarity analysis, and compliance checks to determine if a brand name can be registered, explain risks, and suggest improvements before filing.
Demarka's answer:
Most trademark tools show results. You’re left guessing.
Demarka gives you a clear answer.
– registrability verdict with probability
– risk and conflict explanation
– actionable recommendations
All in under 2 minutes, at a fraction of the cost of traditional checks.
Demarka's answer:
Startups and SMBs validating brand names before launch or market expansion.
Also used by:
– creative and branding agencies validating names for clients
– trademark professionals automating initial screening
– e-commerce and digital businesses launching new brands
Common need: fast and reliable trademark validation without complexity.
Demarka's answer:
Demarka was built by a patent attorney with 15+ years of experience in intellectual property and software development.
In practice, trademark verification required manual work: searching databases, analyzing similarities, checking compliance, and forming a registrability opinion. The process was time-consuming, expensive, and hard to scale.
Demarka automates this entire workflow — and goes further by combining similarity analysis, compliance checks, and probability estimation into a single system.
The idea originated from a previous IP management product, where trademark search and monitoring features attracted the most demand. It became clear that existing tools were either complex databases or expensive manual services.
Demarka was created to provide fast, affordable, and understandable trademark verification — giving clear answers instead of raw data.
Demarka's answer:
– Cloud-based SaaS architecture
– Trademark similarity algorithms (phonetic, linguistic, edit distance)
– Machine learning for pattern recognition
– LLM-based analysis for compliance checks and probability estimation
– Aggregated trademark data from official registries across 90+ countries
Optimized for fast processing and scalable global trademark search.
Share your experience with using mlsql and Demarka. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of mlsql yet. Be the first one to post
Great service for trademark attorneys around the world
My experience with demarka.io has been extremely positive. The platform provides an efficient and well-structured system for conducting trademark searches, generating clear and comprehensive reports, and monitoring...
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 Demarka since Mar 2026.
When comparing mlsql and Demarka, you can also consider the following products.


Protect your brand. Register your trademark. Free verification. Simple online process. Transparent price. Money back guarantee.
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