Software Alternatives & Startups

TelemetryDeck VS mlsql

Compare TelemetryDeck VS mlsql and see what are their differences

TelemetryDeck

Privacy-first lightweight analytics for apps

Rating
0 reviews
Pricing
Free Free trial €9 / Monthly (700 000 signals per month included)
mlsql

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

Rating
0 reviews
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, TelemetryDeck should be more popular than mlsql. It has been mentioned 10 times since March 2021.

social mentions
10 vs 2
Analytics popularity
100% vs 0%
alternatives listed
167 vs 1

Base details

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

TelemetryDeck
mlsql
Website telemetrydeck.com github.com
Pricing
Free Free trial €9 / Monthly (700 000 signals per month included) Official pricing
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Platforms
iOS Android MacOS Web +1
—
Listed in

About TelemetryDeck and mlsql

In their own words, as submitted to SaaSHub.

TelemetryDeck
mlsql

TelemetryDeck is a new service that helps app and web developers improve their product by supplying immediate, accurate analytics data while users use your app. And the best part: It's all anonymized so your users' data stays private!

Read more about TelemetryDeck

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

TelemetryDeck 3 features
mlsql 0 features
  • Privacy-First Analytics
  • Real-Time Insights
  • Insights
    UI Query Editor or hand-written

No features have been listed yet.

Analysis

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

TelemetryDeck
mlsql

No analysis of TelemetryDeck 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
TelemetryDeck
mlsql
100% 100%
0% 0%
0% 0%
LMS
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using TelemetryDeck 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.

TelemetryDeck 10 mentions
mlsql 2 mentions
  • Which analytics to use?
    You should try https://telemetrydeck.com/. Source: over 3 years ago
  • Feedback on idea: Mobile analytics made simple and privacy-friendly
    I use TelemetryDeck, which seems like it could be a competitor. Source: over 3 years ago
  • Privacy and data collection in the BopQuiz app
    To know what the users are doing in my app, I added Analytics via TelemetryDeck. This is a small startup from Germany that takes privacy seriously. Source: over 3 years ago

View more

  • 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 TelemetryDeck and mlsql

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