Software Alternatives & Startups

AllZonefiles.io VS mlsql

Compare AllZonefiles.io VS mlsql and see what are their differences

AllZonefiles.io

Instantly download latest and historical zonefiles and domain lists for all domain zones worldwide. Download over 381M registered domain names across 1,582 domain zones, updated daily. New and expired domains feeds daily.

Rating
0 reviews
Pricing
Paid $39 / Monthly
mlsql

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

Rating
0 reviews
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?

mlsql might be a bit more popular than AllZonefiles.io. We know about 2 links to it since March 2021 and only 2 links to AllZonefiles.io.

social mentions
2 vs 2
Databases popularity
100% vs 0%
alternatives listed
10 vs 1

Base details

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

AllZonefiles.io
mlsql
Website allzonefiles.io github.com
Pricing
Paid $39 / Monthly Official pricing
—
Platforms
Web REST API
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Company Startup from the United States · 1 - 9 employees · 2025 —
Listed in

About AllZonefiles.io and mlsql

In their own words, as submitted to SaaSHub.

AllZonefiles.io
mlsql

AllZonefiles is a domain data platform providing access to large-scale domain datasets across gTLDs and ccTLDs. It helps cybersecurity teams, domain investors, SEO professionals, researchers, developers, and data companies work with domain registration data without collecting and processing...

Read more about AllZonefiles.io

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

AllZonefiles.io 6 features
mlsql 0 features
  • Massive domain coverage
    380M+ domain names across 1580+ domain zones
  • Latest domain lists
    Latest domain lists available for instant download
  • Historical domain lists
    Historical domain lists years back available for instant download
  • New domains feed
    Get daily updated lists of newly registered domains
  • Expired domains feed
    Get daily updated lists of expired domains
  • Easy API
    Easy API is available for quick automation

No features have been listed yet.

Analysis

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

AllZonefiles.io
mlsql

No analysis of AllZonefiles.io yet.

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

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
AllZonefiles.io
mlsql
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing AllZonefiles.io and mlsql.

What makes your product unique?

AllZonefiles.io's answer

AllZonefiles.io brings together large-scale domain datasets from hundreds of gTLDs and ccTLDs in one place. Instead of dealing with many registries, access systems, formats, and update schedules, users can download normalized domain data from a single source.

Its key differentiator is breadth: AllZonefiles.io combines current and historical zone files, newly registered and expired domains, and enriched domain metadata covering 380M+ domains across more than 1,580 TLD zones.

Why should a person choose your product over its competitors?

AllZonefiles.io's answer

AllZonefiles.io is designed for users who need domain data at scale without building and maintaining their own collection infrastructure.

Compared with services focused mainly on ICANN gTLD zone files, AllZonefiles.io also provides extensive ccTLD coverage, historical datasets, daily domain changes, and enriched domain information.

It is especially useful for teams that want ready-to-use bulk data for cybersecurity, SEO, domain investing, research, analytics, and data products.

How would you describe the primary audience of your product?

AllZonefiles.io's answer

The primary audience includes cybersecurity professionals, threat intelligence teams, domain investors, SEO specialists, researchers, developers, data engineers, and companies building products based on domain intelligence.

Typical users need to analyze millions of domains, detect newly registered or expired domains, study TLD markets, monitor domain activity, or enrich their own datasets and applications.

What's the story behind your product?

AllZonefiles.io's answer

AllZonefiles.io started from a simple problem: obtaining comprehensive domain data is surprisingly difficult.

Domain information is distributed across ICANN CZDS, individual registries, ccTLD operators, public datasets, and other sources, each with different formats and access requirements.

AllZonefiles.io was created to aggregate, normalize, store, and continuously update this data so developers and analysts can focus on using domain data instead of building infrastructure to collect it.

The project has since grown into a large domain data platform covering hundreds of millions of domains and more than 1,500 TLD zones.

Which are the primary technologies used for building your product?

AllZonefiles.io's answer

AllZonefiles.io is built primarily with Go, PostgreSQL, Linux, Docker, Nginx, and cloud/object-storage infrastructure.

The platform also uses custom data-processing pipelines for downloading, parsing, normalizing, comparing, and storing very large domain datasets and zone files.

The architecture is designed around efficient processing of hundreds of millions of domain records and frequent dataset updates.

Who are some of the biggest customers of your product?

AllZonefiles.io's answer

AllZonefiles.io is used by customers working in:

  • cybersecurity
  • domain intelligence
  • domain investing
  • SEO
  • data analysis
  • Internet research

User comments

Share your experience with using AllZonefiles.io and mlsql. 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.

AllZonefiles.io 2 mentions
mlsql 2 mentions
  • Ask HN: What are you working on? (October 2026)
    I'm building AllZonefiles (https://allzonefiles.io), aiming to make it the best domain data platform on the internet. It covers 380M+ domains, with daily domain lists, additions/removals, and zonefiles with nameserver data. I recently... - Source: Hacker News / 10 days ago
  • Ask HN: What are you working on? (September 2026)
    Https://allzonefiles.io Bulk domain name datasets available for instant downloads, hassle-free (without submitting any application forms, waiting for approvals, etc, etc). 383M registered domain names across 1582 domain zones. Updated... - Source: Hacker News / about 2 months ago
  • 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

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