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mlsql VS Draft and Check

Compare mlsql VS Draft and Check and see what are their differences

mlsql

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

Rating
0 reviews
Alternatives Is it good?
Draft and Check

Honest email verification with real SMTP checks, pay-as-you-go

Rating
0 reviews
Pricing
Freemium $9 / One-off (2,000 credits, never expire)
Alternatives Is it good?
Calcumber
Calculate in a notebook and share — from everyday math to engineering. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
2 vs 0
Online Learning popularity
100% vs 0%
alternatives listed
1 vs 44

Base details

Website, pricing, platforms and company facts side by side.

mlsql
Draft and Check
Website github.com draftandcheck.com
Pricing —
Freemium $9 / One-off (2,000 credits, never expire) Official pricing
Platforms —
REST API Web SaaS Cloud +1
Company — Startup from Belgium · 1 - 9 employees · 2026
Listed in
Education LMS Online Learning Web App +1
Email Marketing Email Verification Developer Tools API +1

About mlsql and Draft and Check

In their own words, as submitted to SaaSHub.

mlsql
Draft and Check

No description of mlsql yet.

Draft & Check verifies whether an email address is really deliverable before you send, so your lists stay clean and your sender reputation stays intact. It runs a full pipeline on every address: - Syntax and DNS/MX checks - Disposable and role-address detection - Typo suggestions ("did you...

Read more about Draft and Check

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
Draft and Check 6 features

No features have been listed yet.

  • Verification
    Live SMTP mailbox check with catch-all detection
  • Checks
    Syntax, DNS/MX, disposable, role, typo suggestions
  • Verdicts
    Deliverable, risky, undeliverable, unknown + 0 to 100 score
  • API
    REST, single and batch up to 1,000 addresses
  • Pricing
    Pay-as-you-go credits that never expire
  • Free tier
    100 credits to start, no card

Analysis

An editorial look at what each product does well and who it suits.

mlsql
Draft and Check

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

No analysis of Draft and Check yet.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
mlsql
Draft and Check
100% 100%
Online Learning
0% 0%
0% 0%
Email Verification
100% 100%
100% 100%
Web App
0% 0%
0% 0%
Email Marketing
100% 100%

Questions & Answers

As answered by people managing mlsql and Draft and Check.

Which are the primary technologies used for building your product?

Draft and Check's answer:

Node.js and TypeScript with a Fastify API, SQLite for storage, Dockerized on an EU (Belgium) server behind Caddy, Stripe for billing, and Cloudflare for delivery. Verification is a custom pipeline of DNS/MX lookups and a direct SMTP client for the mailbox probe.

What makes your product unique?

Draft and Check's answer:

It runs a real SMTP mailbox check on every address, connecting to the mail server to confirm the inbox exists, with catch-all detection, not just syntax and DNS. And it is honest: when a mailbox genuinely cannot be confirmed it returns "unknown" instead of a false "deliverable." Credits are pay-as-you-go and never expire, with no subscription.

Why should a person choose your product over its competitors?

Draft and Check's answer:

It is typically 3 to 4 times cheaper per verification than incumbents like ZeroBounce, with credits that never expire and no monthly subscription. You still get real SMTP verification and catch-all detection, a clean REST API, and honest verdicts. Start with 100 free credits, no card required.

How would you describe the primary audience of your product?

Draft and Check's answer:

Developers adding email checks to signup and checkout flows, growth and sales teams cleaning cold-outreach lists, agencies and recruiters, and anyone sending email at volume who wants to protect their sender reputation.

What's the story behind your product?

Draft and Check's answer:

Draft and Check was built by SovereignShield BV out of a simple frustration: most verifiers either lock you into subscriptions or return optimistic "deliverable" results that still bounce. We wanted verification that is honest about what it can and cannot confirm, priced fairly, and simple to wire up, so we built a deterministic pipeline that tells you the truth, including when the answer is "unknown."

User comments

Share your experience with using mlsql and Draft and Check. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

mlsql 2 mentions
Draft and Check 0 mentions
  • Download the files from Docker Container and locally edit them
    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
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Tracking Draft and Check since Aug 2026.

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