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GDevelop VS Knowi

Compare GDevelop VS Knowi and see what are their differences

GDevelop

GDevelop is an open-source game making software designed to be used by everyone.

GDevelop Landing page
Rating
4.0 · 1 review
Pricing
Open source
Alternatives Is it good?
Knowi

Knowi is an agentic analytics platform. AI agents work inside the data layer to query SQL, NoSQL and APIs directly, join across sources without ETL, and build dashboards teams can use or embed in their own product.

Knowi Ask your data a question, get a governed answer
Rating
0 reviews
Pricing
Free Free trial
Alternatives Is it good?
mbuzz.co
Multi-touch attribution that shows the model behind the number. 8 models compared side-by-side, a SQL-like DSL to write your own, and open-source SDKs for Ruby, Node, Python, and PHP. Runs server-side. Your data, not theirs. 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, GDevelop seems to be more popular. It has been mentioned 78 times since March 2021.

social mentions
78 vs 0
Game Development popularity
100% vs 0%
alternatives listed
240+ vs 91

Base details

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

GDevelop
Knowi
Website gdevelop.io knowi.com
Pricing
Open source
Free Free trial Official pricing
Company — Startup from the United States · 20 - 49 employees · 2015
Listed in
Game Development Game Engine 3D Game Engine 2D Game Engine +1
Analytics Product Analytics IoT Platform Business Intelligence Embedded Analytics Data Visualization Reporting & Dashboard AI Agents Agentic Analytics Analytics Dashboard Marketing Analytics +8

About GDevelop and Knowi

In their own words, as submitted to SaaSHub.

GDevelop
Knowi

No description of GDevelop yet.

Knowi is the Agentic Analytics Platform. It unifies data from anywhere, adds a governed semantic layer, and deploys AI agents that analyze, monitor, and act on live business data. Traditional BI tools bolt AI onto dashboards. Knowi was built AI-first. The semantic layer defines your metrics,...

Read more about Knowi

Features and specs

What each product offers, as listed by its team.

GDevelop 6 features
Knowi 10 features
  • User-Friendly Interface
    GDevelop provides a drag-and-drop interface, making it accessible for beginners who don't have prior coding experience.
  • Cross-Platform Export
    Games created with GDevelop can be exported to multiple platforms, including Windows, macOS, Linux, Android, iOS, and the web.
  • Free and Open Source
    GDevelop is completely free and its source code is open for anyone to modify and improve.
  • Extensive Documentation
    The platform provides a wide range of tutorials, examples, and thorough documentation, making it easier for developers to learn and utilize the tool.
  • Vibrant Community
    An active community forum and resources are available, providing support and opportunities for collaboration.
  • No-Code Solution
    GDevelop allows game creation without any coding, making it highly suitable for rapid prototyping and educational purposes.

Possible disadvantages

  • Performance Limitations
    The engine may struggle with performance issues for more complex games, especially those with high-end graphics and intensive computations.
  • Limited Advanced Features
    While suitable for 2D game development, GDevelop lacks advanced features found in other engines, potentially limiting more experienced developers.
  • Learning Curve for Advanced Usage
    Although easy for beginners, mastering the platform for more complex projects can have a steep learning curve.
  • Limited Integration
    Integration with third-party tools and services is not as extensive as in some other, more established game development engines.
  • Project Collaboration
    Collaborative features are relatively basic, potentially making it less ideal for larger, team-based projects.
  • 2D Only
    GDevelop focuses exclusively on 2D game development, which can be a downside for those looking to develop 3D games.
  • Agents Inside the Data Layer
    AI agents connect to schemas and the query engine directly rather than sitting on top of finished dashboards, so they build queries, widgets and dashboards instead of only answering questions about ones that already exist.
  • Native NoSQL Analytics
    Query MongoDB and Elasticsearch in their own query language, including nested documents and arrays, without a BI connector or a separate flattening step.
  • Cross-Source Joins Without ETL
    Blend MongoDB, PostgreSQL, Snowflake, Databricks SQL, Trino, Salesforce and REST APIs in a single query, without first moving the data into a warehouse.
  • Semantic Layer as a Dataset Service
    Curated datasets, governed business definitions and a shared glossary the data team controls, so plain-English questions resolve against approved metrics rather than raw tables.
  • Wide Range of Integrations
    The platform connects to relational databases, NoSQL stores, cloud warehouses, SaaS APIs and files, including MongoDB, Elasticsearch, PostgreSQL, MySQL, Snowflake, Databricks SQL, Trino, BigQuery, Redshift, Salesforce and REST endpoints.
  • Real-Time Insights
    Knowi provides real-time data processing and visualization, which enables businesses to access up-to-date insights for timely decision-making.
  • Alerts and Scheduled Reporting
    Threshold and anomaly alerts routed to Slack, email or webhooks, plus scheduled PDF and CSV delivery.
  • MCP Server for AI Assistants
    A Model Context Protocol server so assistants such as Claude can query data, build widgets and create dashboards through Knowi's governed layer.
  • Flexible Deployment
    Run on Knowi Cloud, inside your own VPC, or fully on-premise.
  • No-Code Data Analytics
    Knowi offers a no-code platform that allows users to perform data analytics tasks without needing in-depth programming skills, making it accessible to data-driven teams.

Analysis

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

GDevelop
Knowi

Overall verdict

  • Yes, GDevelop is generally considered a good option for game development, especially for beginners.

Why this product is good

  • GDevelop is an open-source game development platform that provides an easy-to-use interface and a variety of features that allow for the creation of both 2D and 3D games without needing extensive programming knowledge. It offers a drag-and-drop interface, a robust set of pre-built behaviors, and extensive documentation and tutorials, making it accessible to new developers. Additionally, being free and supported by a community of developers, it constantly evolves with updates and new features.

Recommended for

  • Beginners who want to learn game development without extensive coding.
  • Independent developers looking for a free, open-source tool.
  • Educators teaching game development due to its user-friendly interface and ease of use.
  • Developers interested in rapid prototyping of game ideas.

No analysis of Knowi yet.

Videos

Walkthroughs and reviews on video.

GDevelop 4 videos + Add
Knowi 1 video + Add

GDevelop 5 -- Ultimate Beginner Game Engine?

More videos

  • Review - Clickteam Fusion 2.5 Vs GDevelop 5 - (Game Engine REVIEW 2019 )
  • Review - Clickteam Fusion 2.5 Vs GDevelop 5 - (Game Engine REVIEW 2020 )
  • Tutorial - Beginner Multiplayer Tutorial

Knowi: End-to-End AI Analytics Platform - Architecture Overview

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
GDevelop
Knowi
100% 100%
Game Development
0% 0%
0% 0%
Analytics
100% 100%
100% 100%
Game Engine
0% 0%
0% 0%
IoT Platform
100% 100%

Questions & Answers

As answered by people managing GDevelop and Knowi.

Who are some of the biggest customers of your product?

Knowi's answer:

Verizon Telstra Everbridge ConvergeOne NJM Insurance Volante Systems intlx Solutions Alteas Health Hometime Tata

What makes your product unique?

Knowi's answer:

Knowi runs AI agents inside the data layer rather than on top of finished dashboards. The agents reach schemas and the query engine directly, which means they can build queries, widgets and dashboards, not just answer questions about ones that already exist.

That architecture comes from what Knowi was built to do: query data where it already lives. It speaks MongoDB and Elasticsearch in their own query language, including nested documents and arrays, and it joins across MongoDB, PostgreSQL, Snowflake, Databricks SQL, Trino, Salesforce and REST APIs in a single query without first moving anything into a warehouse.

Knowi also runs its own AI by default, with OpenAI and Claude available as optional integrations rather than requirements, and it deploys to cloud, your own VPC, on-premises via Docker or Kubernetes, or air-gapped.

Why should a person choose your product over its competitors?

Knowi's answer:

Three practical reasons.

Your data does not have to be relational first. Most BI tools need a warehouse and an ETL pipeline before you see a chart, which means unstructured, nested and API data either gets flattened or gets left out. Knowi queries those sources natively, so the modelling work you would normally do up front becomes optional.

The AI is part of the query path, not a chat box on the side. Many platforms added a copilot that describes existing dashboards. Knowi's agents have access to the schema and the query engine, so they can create new datasets, widgets and dashboards from a question.

You control where it runs and which model touches your data. Knowi AI is the default, third-party models are optional, and deployment can be Knowi Cloud, your own VPC, on-premises, or air-gapped. Knowi is SOC 2 Type II certified, GDPR compliant, and offers a HIPAA BAA.

How would you describe the primary audience of your product?

Knowi's answer:

Data, engineering and product teams at mid-market and enterprise companies whose data is spread across more than one kind of system: NoSQL alongside SQL, warehouses alongside SaaS APIs and documents.

Two buying patterns show up most often. Internal analytics teams who need governed self-service across sources without building a pipeline for every question. And product teams who need customer-facing, multi-tenant analytics embedded inside their own application with row-level access control.

By industry, the customer base skews to telecom, healthcare, manufacturing, SaaS and adtech, proptech and e-commerce. Knowi is sold through a sales team and priced per deployment rather than by public self-serve tier.

What's the story behind your product?

Knowi's answer:

Knowi was founded in 2014, at the point where a lot of production data had stopped being relational. Teams were running MongoDB and Elasticsearch, and the BI tools of the day all assumed a star schema in a warehouse. Getting a dashboard meant building a pipeline first, and anything nested or semi-structured got flattened or dropped along the way.

Knowi was built the other way round: connect to the source, query it in its own language, and join across sources at query time instead of moving the data. Cross-source joins, post-query transformation and a dataset layer that data teams could govern followed from that starting point, and embedded analytics came from customers who wanted to give the same views to their own users.

The AI work is a continuation rather than a pivot. Because Knowi already owned the query path across every connected source, AI agents could be placed inside the data layer with access to schemas and the query engine, instead of being bolted onto a finished dashboard.

User comments

Share your experience with using GDevelop and Knowi. 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.

GDevelop 4.0 · 1 review
Knowi no reviews yet
  • Rated 4/5 by kio
    SaaSHub review
    · Jun 2025

    awesome, but contains some bugs like frezees or editor view crash

  • 16 Scratch Alternatives
    www.justalternativeto.com · May 2023

    Beginners who don’t have any programming skills but still want to create some games can quickly access one of the best platforms based on the open source network to help them develop games named the GDevelop. This...

  • 20 Best Scratch Alternatives 2023
    rigorousthemes.com · Jul 2022

    GDevelop is described as a “free and easy game-making app.” It’s similar to Scratch in that it’s a no-code platform; it doesn’t require using programming languages. GDevelop is also free and open source.

View more

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

Social recommendations and mentions

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

GDevelop 78 mentions
Knowi 0 mentions
  • No-Code Game Development: Using AI to Build Your First Game
    GDevelop combines open-source flexibility with powerful no-code features. Their recent AI plugins provide remarkable capabilities:. - Source: dev.to / over 1 year ago
  • Ask HN: Platform for 11 year old to create video games?
    Humble Bundle has a Godot bundle is available for the next day or so. That might be a good one to look at if you're ok with leaning into code a bit (gdscript is very very similar to python).... - Source: Hacker News / almost 2 years ago
  • Exploring Raylib and Open Source
    I selected this library as I normally use much higher-level tools to develop games such as p5.js, or GDevelop. Both these tools are amazing in their own right; however, I want to learn how these processes operate on a much lower level.... - Source: dev.to / about 2 years ago

View more

Tracking Knowi since Mar 2021.

Alternatives to GDevelop and Knowi

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