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mlsql VS Feedback Fish

Compare mlsql VS Feedback Fish and see what are their differences

mlsql

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

Rating
0 reviews
Alternatives Is it good?
Feedback Fish

Collect feedback & make your customers happy.

Rating
0 reviews
Alternatives Is it good?
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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, Feedback Fish should be more popular than mlsql. It has been mentioned 6 times since March 2021.

social mentions
2 vs 6
LMS popularity
100% vs 0%
alternatives listed
1 vs 141

Base details

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

mlsql
Feedback Fish
Website github.com feedback.fish
Company — Startup from the Netherlands
Listed in
Education LMS Online Learning Web App +1
Customer Feedback User Feedback Feedback Surveys +1

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
Feedback Fish 5 features

No features have been listed yet.

  • Ease of Use
    Feedback Fish offers a simple and intuitive interface, making it easy for users to quickly set up feedback forms without extensive technical knowledge.
  • Quick Integration
    The platform provides effortless integration with various websites and platforms, requiring minimal coding and setup time.
  • Real-Time Notifications
    Users receive real-time notifications when new feedback is submitted, allowing for prompt responses and actions.
  • Customization Options
    Feedback Fish allows for customization of the feedback widget to match the look and feel of the website, ensuring a seamless user experience.
  • Data Export
    The platform provides options for exporting feedback data, making it easy to analyze and integrate with other tools.

Possible disadvantages

  • Pricing
    For small businesses or individual users, the pricing might be on the higher side compared to alternative feedback collection solutions.
  • Limited Advanced Features
    Feedback Fish may lack some advanced features that larger enterprises might require, such as detailed analytics or advanced reporting.
  • Dependence on Internet Connection
    Since it's a web-based tool, users need a stable internet connection to set up and receive feedback, which might be a limitation in low-connectivity environments.
  • Learning Curve for Customization
    Although generally easy to use, there may be a learning curve for customizing the feedback widget to fit specific design requirements completely.
  • Limited Language Support
    Feedback Fish might not support multiple languages or localization, which could be a drawback for global businesses aiming for wider reach.

Analysis

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

mlsql
Feedback Fish

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

  • Feedback Fish is generally considered a good choice for those who need a straightforward and effective solution to receive and manage user feedback. Its features cater well to small to medium-sized businesses and developers who prioritize ease of use and integration capabilities.

Why this product is good

  • Feedback Fish is known for its simplicity and user-friendly interface, which makes it easy for businesses and developers to collect feedback from users. It integrates well with various platforms and offers customizable feedback widgets, enabling users to gather insights directly from their website visitors. Its focus on privacy and data protection is another highlight, offering confidence to those concerned about data security.

Recommended for

    Feedback Fish is particularly recommended for startups, small business owners, web developers, and digital product teams who need a lightweight feedback tool that provides essential features without overwhelming complexity.

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
Feedback Fish
100% 100%
LMS
0% 0%
0% 0%
Customer Feedback
100% 100%
100% 100%
Web App
0% 0%
0% 0%
User Feedback
100% 100%

User comments

Share your experience with using mlsql and Feedback Fish. 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
Feedback Fish 6 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
  • Ask HN: What was an interesting project you started and finished over a weekend?
    With three friends, we built and launched a SaaS product over a weekend and live-streamed ourselves doing it[0]: https://feedback.fish It was a ton of fun, about 1,000 people tuned in over the course of those ~60 hours. The product was... - Source: Hacker News / over 2 years ago
  • I'm building a widget to help you collect feedback from your users and I'm looking for beta testers?
    You are literally copying https://feedback.fish/. Source: about 4 years ago
  • How do you SaaS owners log bugs?
    You can use an embeddable widget like feedback fish or question to have your users report bugs & ideas. Feedback fish lets them take a screenshot, question lets them record a video. Source: over 4 years ago

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