Software Alternatives & Startups

mlsql VS Reeve.page

Compare mlsql VS Reeve.page and see what are their differences

mlsql

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

Rating
0 reviews
Reeve.page

Managed Supabase backups: verified copies kept off-platform, encrypted, restored in one click. Plus a free security scanner for AI-built apps (Lovable, Base44, Replit, v0, Claude, Codex) and uptime monitoring.

Rating
0 reviews
Pricing
Paid Free trial $12 / Monthly (for monitoring)
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
Education popularity
100% vs 0%
alternatives listed
1 vs 18

Base details

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

mlsql
Reeve.page
Website github.com reeve.page
Pricing —
Paid Free trial $12 / Monthly (for monitoring) Official pricing
Platforms —
Web
Company — 2026
Listed in

About mlsql and Reeve.page

In their own words, as submitted to SaaSHub.

mlsql
Reeve.page

No description of mlsql yet.

Reeve keeps verified copies of your Supabase database outside Supabase, restores them in one click, and watches your app for the security holes AI builders leave behind. Made for people who built an app with Lovable, Bolt, v0, Cursor, Replit, Claude, Codex and now have real users in it. Supabase...

Read more about Reeve.page

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
Reeve.page 13 features

No features have been listed yet.

  • Free security scan
    9 external checks, A–F grade, about 20 seconds, no account
  • Supabase backups
    Daily on Care, every 12 hours on Care Pro, every 6 hours on Care Max
  • Restore points
    30 on Care, 90 on Care Pro and Care Max
  • Uploaded files
    Copied too once you connect a Supabase Storage credential
  • Verified copies
    Every copy is read back and checked before it counts
  • Encryption and storage
    AES-256-GCM, stored in the EU outside Supabase
  • One-click restore
    A safety copy of today is saved before every restore
  • Download
    Your database as a standard Postgres dump, any time
  • Uptime monitoring
    Every 60 seconds; every 15 seconds on Care Max
  • Repeat security scans
    Every hour; every 15 minutes on Care Max
  • Monthly report
    Plain-language PDF in 7 languages
  • Status page
    Included in Care Pro and Care Max
  • Done-for-you fixes
    Included in Care Max

Analysis

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

mlsql
Reeve.page

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 Reeve.page 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
Reeve.page
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing mlsql and Reeve.page.

How would you describe the primary audience of your product?

Reeve.page's answer:

People who built a real app with Lovable, Bolt, v0, Cursor, Replit, Windsurf, Claude, Codex on Supabase, with users and data in it, and who are not database engineers. Also small studios and freelancers who build these apps for clients and look after them after handover.

What makes your product unique?

Reeve.page's answer:

Reeve is built for one stack: apps made with AI builders on Supabase. The scanner knows which keys belong in a frontend (the Supabase anon key) and which are a real leak (a service_role key), so its report stays short and worth acting on. The backups are checked and encrypted: every copy is read back before it counts, kept outside Supabase, and put back with one button after a safety copy of today is saved.

Why should a person choose your product over its competitors?

Reeve.page's answer:

Reeve covers both halves in one place. It finds what is exposed in your app, and it keeps copies you can put back with one button. The backups include your users' uploaded files, and everything is explained in plain language for someone who has never opened the Supabase console.

What's the story behind your product?

Reeve.page's answer:

Reeve started with a pattern. Apps built with AI tools kept going live with the same short list of mistakes: secret keys in the frontend, database tables anyone could read, storage buckets open to the internet. Their owners had nobody watching after launch, and Supabase's free plan keeps no backups at all. Reeve is that somebody: a free scan to see where you stand, then care that watches the app and keeps a copy you can restore.

User comments

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Social recommendations and mentions

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

mlsql 2 mentions
Reeve.page 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 Reeve.page since Oct 2026.

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