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Kandji VS mlsql

Compare Kandji VS mlsql and see what are their differences

Kandji

Kandji is the Apple device management and security platform that empowers secure and productive global work.

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
OutageDeck
Check the cloud and SaaS vendors your product depends on without opening every status page. Official-source timelines, observed uptime history, and alerts to email, Slack, Teams, Discord, or webhooks. Five-provider email alerts are free. 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 should be more popular than Kandji. It has been mentioned 2 times since March 2021.

social mentions
1 vs 2
Security & Privacy popularity
100% vs 0%
alternatives listed
54 vs 1

Base details

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

Kandji
mlsql
Website kandji.io github.com
Pricing
Open source Official pricing
—
Platforms
Mac OSX iOS iPad
—
Company Startup from the United States · 50 - 99 employees · 2018 —
Listed in
Mobile Device Management Security & Privacy Development Monitoring Tools +1
Education LMS Online Learning Web App +1

About Kandji and mlsql

In their own words, as submitted to SaaSHub.

Kandji
mlsql

Kandji's platform multiplies the power of your technology team, improves security posture, and creates a world-class management experience for Apple device users.

Read more about Kandji

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

Kandji 5 features
mlsql 0 features
  • Mobile device management (MDM) for Apple
  • Zero-touch deployment
  • App management and patching
  • One-click compliance templates
  • macOS update and upgrade management

No features have been listed yet.

Analysis

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

Kandji
mlsql

Overall verdict

  • Kandji is generally considered an excellent choice for organizations looking to manage their Apple devices efficiently. Its powerful automation and ease of use make it suitable for both small businesses and larger enterprises with extensive Apple device fleets.

Why this product is good

  • Kandji is a well-regarded solution for Apple device management, offering zero-touch deployment, automated remediation, and robust security features. It simplifies device management tasks for IT teams by providing a user-friendly interface and a comprehensive suite of tools that help ensure devices are compliant, secure, and up to date. Its robust features, such as custom scripting, patch management, and detailed reporting, make it a strong contender in the MDM (Mobile Device Management) landscape.

Recommended for

  • IT administrators looking to simplify Apple device management
  • Organizations needing strong security and compliance tools
  • Businesses of all sizes that prioritize automated device configuration and management
  • Teams looking for scalable MDM solutions with minimal user intervention

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

Videos

Walkthroughs and reviews on video.

Kandji 3 videos + Add
mlsql 0 videos + Add

Kandji: Your Devices, in Harmony

More videos

  • - "So I Do That" with Kandji
  • - Day One with Kandji: Unboxing and End User Experience

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

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
Kandji
mlsql
100% 100%
Security & Privacy
0% 0%
0% 0%
Web App
100% 100%
100% 100%
Development
0% 0%
0% 0%
LMS
100% 100%

User comments

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

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Reviews and articles

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

Kandji no reviews yet
mlsql no reviews yet

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.

Kandji 1 mention
mlsql 2 mentions
  • Mobile Device Management Question
    We use kandji for Mac at my shop. Waaaay cheaper than jamf, and made by ex jamfers. Source: about 4 years ago
  • 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 Kandji and mlsql

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

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