Software Alternatives & Startups
Register | Login

Sentriment VS mlsql

Compare Sentriment VS mlsql and see what are their differences

Sentriment

AI that clusters, quantifies and explains qualitative feedback, with cited answers, spike alerts and churn impact. GDPR-first, EU-hosted. Free while in open beta.

Rating
5.0 · 1 review
Pricing
Freemium
Promote on VibeVoted
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Promote on VibeVoted
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI 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
User Feedback popularity
100% vs 0%
alternatives listed
13 vs 1

Base details

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

Sentriment
mlsql
Website sentriment.com github.com
Pricing
Freemium Official pricing
—
Company Startup from Italy · 1 - 9 employees —
Listed in
Customer Feedback User Feedback Feedback Management AI Churn Prevention Churn Optimization AI Churn Prediction User Feedback Management Analytics AI +6
Education LMS Online Learning Web App +1

About Sentriment and mlsql

In their own words, as submitted to SaaSHub.

Sentriment
mlsql

Most feedback tools count votes on a public board. Sentriment reads everything instead, including the feedback nobody ever posts: support conversations, app store reviews, in-app messages, survey responses and imported spreadsheets. Every item is analyzed for sentiment, emotion, type and the...

Read more about Sentriment

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

Sentriment 8 features
mlsql 0 features
  • Feedback Collection
    Collect and analyse with AI feedbacks from all sources
  • Sentiment Analysis
    Understand the sentiment that is behind your feedbacks
  • API
    Send your feedback from anywhere
  • Webhooks
    Trigger and receive signals back to you
  • Slack integration
    Get alerts and updates directly in Slack
  • GDPR Compliant
    GDPR first architecture, all data lives in EU, right to deletion to a user feedback, access and every GDPR compliance.
  • MRR-Weighted At-Risk Report
    Where and which MRR is at risk
  • Churn Risk Scoring
    Identify the users at risk of churning

No features have been listed yet.

Analysis

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

Sentriment
mlsql

No analysis of Sentriment 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
Sentriment
mlsql
100% 100%
User Feedback
0% 0%
0% 0%
LMS
100% 100%
100% 100%
Customer Feedback
0% 0%
0% 0%
Education
100% 100%

Questions & Answers

As answered by people managing Sentriment and mlsql.

Which are the primary technologies used for building your product?

Sentriment's answer

TypeScript, Next.js, PostgreSQL, AI.

Why should a person choose your product over its competitors?

Sentriment's answer

Deep feedback analysis usually means an annual contract and a sales demo. Sentriment has a free plan, paid plans from €49/month with unlimited seats, and ranks themes by revenue, not volume. It's hosted in Frankfurt.

What makes your product unique?

Sentriment's answer

Sentriment is the only that prices feedback in revenue. Groups feedback from your app, inbox and app-store reviews into themes, shows the MRR behind each one, and alerts you when a paying customer turns at-risk. Personal data is redacted before storage.

How would you describe the primary audience of your product?

Sentriment's answer

Founders and product managers at early-stage B2B software companies with no analyst, who need to know what to build next and who's about to churn.

What's the story behind your product?

Sentriment's answer

Small teams collect lots of feedback but have no time to read it, and the tools that analyse it properly are priced for enterprises. We built Sentriment in 2026 to give small teams the answer: which problems matter, and what they cost.

User comments

Share your experience with using Sentriment and mlsql. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Sentriment 5.0 · 1 review
mlsql no reviews yet
  • The value I get out of this is insane
    SaaSHub review
    · Sep 2026

    Having all the feedbacks in one central place with user profiles and money behind each really makes sense to me. I know what users are saying at scale with a money bias, which I think is the right approach. In...

We have no reviews of mlsql yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Sentriment 0 mentions
mlsql 2 mentions

Tracking Sentriment since Sep 2026.

  • 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 Sentriment and mlsql

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

Loading...