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Customer Feedback VS mlsql

Compare Customer Feedback VS mlsql and see what are their differences

Customer Feedback

We capture real time customer feedback to find out what to build next

Rating
0 reviews
Pricing
Freemium Free trial $15 / Monthly
Alternatives Is it good?
mlsql

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

Rating
0 reviews
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
0 vs 2
Customer Feedback popularity
100% vs 0%
alternatives listed
48 vs 1

Base details

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

Customer Feedback
mlsql
Website cfeedback.com github.com
Pricing
Freemium Free trial $15 / Monthly Official pricing
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Platforms
Node JS Angular AWS
—
Listed in
Customer Feedback Surveys Customer Experience Management User Feedback Online Reviews Product Reviews Customer Engagement +4
Education LMS Online Learning Web App +1

Features and specs

What each product offers, as listed by its team.

Customer Feedback 3 features
mlsql 0 features
  • Review widget
    It allows to gather customer feedback
  • Reaction widget
    It allows to gather customer feelings
  • NPS widget
    It allows to understand the propensity to share

No features have been listed yet.

Analysis

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

Customer Feedback
mlsql

Overall verdict

  • Customer Feedback (cfeedback.com) is a solid choice for businesses looking to collect, analyze, and act on customer opinions, offering an accessible platform for gathering actionable insights.

Why this product is good

  • User-friendly interface that makes creating and distributing surveys straightforward
  • Robust analytics and reporting tools to help interpret feedback data
  • Multiple channels for collecting feedback including email, web, and in-app options
  • Customizable survey templates to match various business needs
  • Helps improve customer satisfaction and retention through data-driven decisions

Recommended for

  • Small to medium-sized businesses seeking affordable feedback solutions
  • Customer support teams looking to track satisfaction metrics
  • Product managers gathering user input for improvements
  • E-commerce stores monitoring buyer experience
  • Companies focused on improving customer retention and loyalty

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.

Customer Feedback 4 videos + Add
mlsql 0 videos + Add

Customer Feedback

More videos

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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
Customer Feedback
mlsql
100% 100%
Customer Feedback
0% 0%
0% 0%
Web App
100% 100%
100% 100%
User Feedback
0% 0%
0% 0%
Online Learning
100% 100%

User comments

Share your experience with using Customer Feedback 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.

Customer Feedback 0 mentions
mlsql 2 mentions

Tracking Customer Feedback since May 2023.

  • 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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