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mlsql VS MyFeelback

Compare mlsql VS MyFeelback and see what are their differences

mlsql

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

Rating
0 reviews
Alternatives Is it good?
MyFeelback

Turn customer feedback into a cash machine for your business. We help companies capture customer insights to make data-driven decisions! 

Rating
0 reviews
Alternatives Is it good?
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warmup.rocks keeps your CDN cache warm in every edge location worldwide: Cloudflare, Fastly, Akamai, CloudFront and more. Warming from 42 countries, hit-ratio analytics. 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
2 vs 0
Web App popularity
100% vs 0%
alternatives listed
1 vs 42

Base details

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

mlsql
MyFeelback
Website github.com myfeelback.com
Listed in
Education LMS Online Learning Web App +1
Office & Productivity Reputation Management Customer Feedback Appointments and Scheduling +1

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
MyFeelback 5 features

No features have been listed yet.

  • Customizable Surveys
    MyFeelback allows users to create highly customizable surveys that can be tailored to specific business needs, enabling more precise data collection.
  • Real-Time Analytics
    The platform offers real-time analysis of survey data, which can be critical for making quick, informed business decisions.
  • Multi-Channel Distribution
    Surveys can be distributed across various channels including email, SMS, and social media, broadening the scope of data collection.
  • Integrations
    MyFeelback supports integration with multiple CRM systems and other marketing tools, allowing for seamless data flow and enhanced functionality.
  • Rich Reporting Features
    Offers detailed and rich reporting features that help in visualizing the collected data through various formats such as graphs and charts.

Possible disadvantages

  • Cost
    The platform could be considered expensive for small businesses or startups that have limited budgets for customer feedback tools.
  • Learning Curve
    New users may find the platform complex to navigate initially due to its wide range of features and customization options.
  • Limited Free Plan
    The free plan is quite limited in terms of features and the number of responses, which could hinder small-scale operations.
  • Support Response Time
    Some users have reported that customer support response times can be slow, which could be problematic in urgent situations.
  • Language Limitation
    While the platform supports multiple languages, some features and documentation may primarily be in French, limiting accessibility for non-French speakers.

Analysis

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

mlsql
MyFeelback

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

Overall verdict

  • Overall, MyFeelback is considered a strong tool for businesses that prioritize customer feedback and wish to enhance their customer relationship management with effective data collection and analysis capabilities.

Why this product is good

  • MyFeelback is well-regarded for its ability to gather valuable customer insights through customizable surveys, enabling businesses to improve customer experience and make data-driven decisions. It offers integration with various CRM systems and allows for real-time feedback collection, which can be crucial for businesses looking to optimize customer engagement and satisfaction.

Recommended for

    MyFeelback is recommended for businesses and organizations that want to gather qualitative insights from their customers. It is particularly useful for marketing teams, customer service departments, and product development units looking to better understand their audience, boost customer satisfaction, and tailor their offerings to meet customer needs more effectively.

Videos

Walkthroughs and reviews on video.

mlsql 0 videos + Add
MyFeelback 2 videos + Add

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

Myfeelback Employee Reviews - Q3 2018

More videos

  • - Septuors Toulouse - MYFEELBACK

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
MyFeelback
100% 100%
Web App
0% 0%
0% 0%
Reputation Management
100% 100%
100% 100%
LMS
0% 0%
0% 0%
Office & Productivity
100% 100%

User comments

Share your experience with using mlsql and MyFeelback. 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.

mlsql 2 mentions
MyFeelback 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 MyFeelback since Mar 2021.

Alternatives to mlsql and MyFeelback

When comparing mlsql and MyFeelback, you can also consider the following products.

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