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Kilo IoT VS mlsql

Compare Kilo IoT VS mlsql and see what are their differences

Kilo IoT

The AI-first IoT platform built for operations teams. Connect any sensor, shape the data and dashboards your way, and get the right alert to the right person before a small problem turns expensive — at any scale.

Rating
0 reviews
Pricing
Freemium Free trial €25 / Monthly
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
BusinessLOG SOC
A centralized log management and SIEM platform built for compliance, auditing, anomaly detection, and infrastructure visibility. 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
Security popularity
100% vs 0%
alternatives listed
2 vs 1

Base details

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

Kilo IoT
mlsql
Website kiloiot.io github.com
Pricing
Freemium Free trial €25 / Monthly Official pricing
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Platforms
Cloud Browser
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Company Startup from the United States · 2022 —
Listed in
Facility Management Smarthome Security Video Surveillance Security Cameras IoT IoT Platform Data Visualization +5
Education LMS Online Learning Web App +1

About Kilo IoT and mlsql

In their own words, as submitted to SaaSHub.

Kilo IoT
mlsql

Kilo is an AI-first IoT platform for teams that need to monitor the physical world and act on it — without stitching together five tools or hiring an integration team. Connect almost any device: LoRaWAN sensors (with a built-in network server, so there's no separate LoRaWAN server to run), GPS...

Read more about Kilo IoT

No description of mlsql yet.

Features and specs

What each product offers, as listed by its team.

Kilo IoT 5 features
mlsql 0 features
  • Rules Engine
    Production ready rules engine with versioning, audit and rollback.
  • IoT Dashboard
    Fully Customizeable Dashboards and Widgets
  • AIoT
    AI First IoT platform
  • 3D Visualization
    IoT sensors linked to 3D Building model. 3D Facilities Management
  • Video Monitoring
    IoT Platform Linked to video monitoring

No features have been listed yet.

Analysis

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

Kilo IoT
mlsql

Overall verdict

  • I don't have reliable, verified information about Kilo IoT (kiloiot.io) to make a confident assessment of its quality, legitimacy, or performance. Before using or investing in this platform, you should independently verify its claims, check for regulatory compliance, read third-party reviews, and research the team behind it.

Why this product is good

  • I do not have specific, verified data on Kilo IoT's product features, security audits, or performance benchmarks.
  • IoT platforms and crypto/token-related ventures (if applicable) require careful due diligence to confirm legitimacy.
  • Lack of independent reviews or established reputation makes it hard to vouch for reliability.
  • Unverified projects may carry risks including scams, poor support, or unproven technology.

Recommended for

  • Users who are willing to conduct their own thorough due diligence before adoption.
  • Early adopters comfortable with the risks of using unproven or emerging IoT platforms.
  • Not recommended for risk-averse users or those seeking established, well-reviewed IoT solutions without further research.

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
Kilo IoT
mlsql
100% 100%
Security
0% 0%
0% 0%
LMS
100% 100%
100% 100%
Data Visualization
0% 0%
0% 0%
Education
100% 100%

Questions & Answers

As answered by people managing Kilo IoT and mlsql.

What makes your product unique?

Kilo IoT's answer

Kilo is AI-first IoT platform that's turnkey and fully customizable at the same time — a combination most platforms make you choose between. It ships with a built-in LoRaWAN and MIOTY network server, so you can connect LPWAN sensors without setting up separate infrastructure, plus tracker and MQTT connectors for almost any other device. You define your own metrics, units, dashboards, rules, and alert thresholds instead of working inside fixed fields, and an AI assistant can provision devices, write automation rules, and build alarms from a plain-language prompt. Kilo IoT also has a native vehicle tracker integration with over 2000 preconfigured tracker templates, which allows for extending IoT beyond the facility.

Why should a person choose your product over its competitors?

Kilo IoT's answer

Three reasons teams pick Kilo: It is the most feature rich IoT platform. It works without specialists and adapts to your operations. There's no separate network server to run, for seasoned integrators, it has CEL programming capabilities for full customization. For beginner integrators, an AI assistant does the heavy lifting so no code is required for rules and dashboards. An AI assistant handles much of the setup — so you get value in minutes instead of a multi-month integration project. At the same time everything is customizable (your metrics, your dashboards, your alert logic), so you're never boxed into a rigid, single-purpose tool. It is production ready and it scales from one sensor to an entire portfolio. Start free, with paid plans from €25/month, or have Kilo help roll it out across multiple sites.

How would you describe the primary audience of your product?

Kilo IoT's answer

Kilo serves operations teams who need to monitor physical assets and catch problems early — facility and building managers, industrial and manufacturing operations, agriculture, cold-chain and refrigeration, energy and utilities, and other asset-heavy businesses — usually without a large IT or developer team. It's equally built for the system integrators, OEMs, and solution builders who deploy and manage IoT on behalf of those operators. In short, anyone who needs industrial-grade monitoring, automation, and alerting but wants it approachable and customizable — from a single site up to a multi-site enterprise.

User comments

Share your experience with using Kilo IoT 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.

Kilo IoT 0 mentions
mlsql 2 mentions

Tracking Kilo IoT since Jun 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 Kilo IoT and mlsql

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