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Toasted Analytics VS mlsql

Compare Toasted Analytics VS mlsql and see what are their differences

Toasted Analytics

Simple, cookie-free website analytics and event tracking

Rating
0 reviews
Pricing
Paid Free trial £2.99 / Monthly
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI 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
0 vs 2
Analytics popularity
100% vs 0%
alternatives listed
112 vs 1

Base details

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

Toasted Analytics
mlsql
Website toastedanalytics.com github.com
Pricing
Paid Free trial £2.99 / Monthly Official pricing
—
Platforms
Web Browser REST API Firefox Google Chrome Safari +3
—
Company 2020 —
Listed in
Analytics Web Analytics Privacy Event Tracking +1
Education LMS Online Learning Web App +1

About Toasted Analytics and mlsql

In their own words, as submitted to SaaSHub.

Toasted Analytics
mlsql

Toasted Analytics is a simple, GDPR, CCPA & PECR compliant analytics tool for your website. We do not collect any personal information so there's no need to ask your visitors for consent. Our focus is to make website analytics easy to understand. We provide a super-simple & clean...

Read more about Toasted Analytics

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

Toasted Analytics 7 features
mlsql 0 features
  • Dashboards
    Yes, with ability to share publicly
  • Free Trial
    14 Days Free Trial
  • Event Tracking
  • API
  • Slack integration
  • Discord Integration
  • Dark Theme

No features have been listed yet.

Analysis

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

Toasted Analytics
mlsql

No analysis of Toasted Analytics 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
Toasted Analytics
mlsql
100% 100%
Analytics
0% 0%
0% 0%
Web App
100% 100%
100% 100%
Tool
0% 0%
0% 0%
LMS
100% 100%

User comments

Share your experience with using Toasted Analytics 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.

Toasted Analytics 0 mentions
mlsql 2 mentions

Tracking Toasted Analytics since Mar 2021.

  • 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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