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Mentioned By VS mlsql

Compare Mentioned By VS mlsql and see what are their differences

Mentioned By

Learn when your site is mentioned by other sites for free

Rating
0 reviews
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
Measure.sh
Measure helps mobile teams monitor and fix crashes, ANRs, bugs, and performance issues. The open source alternative to Firebase Crashlytics. 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
Social Media Monitoring popularity
100% vs 0%
alternatives listed
60 vs 1

Base details

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

Mentioned By
mlsql
Website mentioned.app github.com
Pricing
Official pricing
—
Listed in
Social Media Monitoring Reputation Management Developer Tools Monitoring Tools +1
Education LMS Online Learning Web App +1

Features and specs

What each product offers, as listed by its team.

Mentioned By 4 features
mlsql 0 features
  • Real-time Tracking
    Mentioned By offers real-time tracking of mentions, ensuring that users are immediately notified when their brand or keyword is mentioned online.
  • Comprehensive Coverage
    The platform monitors a wide range of sources, including social media, blogs, and news sites, providing users with a full picture of their online presence.
  • User-friendly Interface
    Mentioned By has a straightforward and intuitive interface, making it easy for users to set up and navigate the system without technical expertise.
  • Custom Notifications
    Users can customize notification settings to receive alerts only for specific keywords or sources, which helps in concentrating on the most relevant mentions.

Possible disadvantages

  • Limited Free Version
    The free version of Mentioned By offers limited features, potentially necessitating a paid subscription to access the tool's full capabilities.
  • Potential Data Overload
    With comprehensive monitoring, users may experience an overwhelming amount of data, requiring significant time to sift through irrelevant mentions.
  • Learning Curve
    While the interface is user-friendly, new users might still experience a learning curve in effectively utilizing all available features and interpreting the data.
  • Cost for Small Businesses
    For small businesses, the cost associated with premium plans may be onerous given budget constraints, limiting access to advanced features.

No features have been listed yet.

Analysis

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

Mentioned By
mlsql

No analysis of Mentioned By 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
Mentioned By
mlsql
100% 100%
Social Media Monitoring
0% 0%
0% 0%
Web App
100% 100%
100% 100%
Reputation Management
0% 0%
0% 0%
LMS
100% 100%

User comments

Share your experience with using Mentioned By 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.

Mentioned By 0 mentions
mlsql 2 mentions

Tracking Mentioned By 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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