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Measured.com VS mlsql

Compare Measured.com VS mlsql and see what are their differences

Measured.com

Measured incrementality measurement informs cross-channel media investment decisions, providing source-of-truth reporting and a privacy-compliant data warehouse to store and maintain marketing data.

Rating
0 reviews
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Alternatives Is it good?
mlsql

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

Rating
0 reviews
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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 should be more popular than Measured.com. It has been mentioned 2 times since March 2021.

social mentions
1 vs 2
Marketing Analytics popularity
100% vs 0%
alternatives listed
22 vs 1

Base details

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

Measured.com
mlsql
Website measured.com github.com
Platforms
Web
—
Company 2017 —
Listed in
Attribution Tracking Marketing Analytics Marketing Planning And Strategy Management Reporting Platform +1
Education LMS Online Learning Web App +1

About Measured.com and mlsql

In their own words, as submitted to SaaSHub.

Measured.com
mlsql

Measured helps brands grow by identifying media’s incremental contribution to business outcomes and providing a single source of truth for media investment decisions. The Measured Intelligence Suite provides marketers with transparent experimentation across all media channels and delivers ongoing...

Read more about Measured.com

No description of mlsql yet.

Analysis

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

Measured.com
mlsql

No analysis of Measured.com 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

Videos

Walkthroughs and reviews on video.

Measured.com 1 video + Add
mlsql 0 videos + Add

Overview from CEO

No mlsql videos yet. You could help us improve this page by suggesting one.

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
Measured.com
mlsql
100% 100%
Marketing Analytics
0% 0%
0% 0%
Web App
100% 100%
100% 100%
Marketing
0% 0%
0% 0%
Online Learning
100% 100%

User comments

Share your experience with using Measured.com 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.

Measured.com 1 mention
mlsql 2 mentions
  • How do you/your team prove Display or YouTube’s halo effect?
    If you have the resources, you do it with MMM (media mix modeling through someone like Neustar) or 3rd party incrementality tests through a vendor like Measured. Source: over 4 years 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

Alternatives to Measured.com and mlsql

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