DeeJoin

DeeJoin / IFCDB

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IFCDB is a professional database developed by Shanghai Dijiao Information Technology Co., Ltd. By providing a standard SQL interface for the unified manipulation of attribute, geometric, and relational data in IFC standard, it can handle data querying, geometry extraction, clash detection, and quantity takeoff by natural language interaction.

11
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69% credibility
Found May 21, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

IFCDB is a professional database system designed for managing complex building information (BIM) data throughout a construction project's entire lifecycle. It combines multiple 3D models into one unified view, lets you explore and measure them interactively, answers natural language questions about materials and quantities, automatically finds where parts of a building design clash, and exports specific sections as clean files. The system uses AI to understand plain questions and respond with clear results, making it faster to analyze building designs compared to manual methods.

How It Works

1
🏗️ You have a complex building project

Your team has multiple 3D models from different trades that need to work together seamlessly.

2
📂 You load all your models into one place

You bring in every sub-model and cross-professional file, and the system merges them together without limits.

3
🤖 You ask questions in plain English

You type natural questions like 'how much steel is in this section?' and the AI understands and finds the answer instantly.

4
You choose what to do next
📐
Explore and measure

View your merged model in 3D, slice through it, measure distances, and isolate specific parts

🧮
Calculate quantities

Get instant material counts and measurements with one click, reducing hours of work to minutes

⚠️
Find clashes

Automatically detect where parts of your model collide and see them highlighted in 3D

5
📊 You see your results clearly

Data appears as intuitive charts and visualizations, making it easy to understand and share with your team.

✅ You export exactly what you need

You save specific parts of your model as clean files, ready to open in other tools or hand to clients.

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AI-Generated Review

What is IFCDB?

IFCDB is a specialized database system built for managing BIM (Building Information Modeling) data at scale. It provides a standard SQL interface for querying and manipulating attribute, geometric, and relational data that follows the IFC (Industry Foundation Classes) OpenBIM standard. The system combines cloud-native architecture with NoSQL and NewSQL technologies, and includes AI-powered natural language interaction so you can ask questions like "how much rebar in zone B" instead of writing complex queries.

Why is it gaining traction?

The standout feature is how it unifies data that usually lives in separate silos: attributes, geometry, and relationships all accessible through one query layer. The natural language AI integration is genuinely useful for non-technical users on a project team who need quick answers without learning SQL. Real-time quantity takeoff and collision detection are compute-heavy tasks that IFCDB claims to accelerate from hours to minutes, which would be a game-changer for BIM coordinators drowning in manual work.

Who should use this?

BIM managers and coordinators at architecture or construction firms who spend excessive time on quantity takeoffs and clash detection. Developers building tools for the AEC (Architecture, Engineering, Construction) industry who want a standardized data backend instead of parsing IFC files from scratch. Large projects with multiple sub-models that need merging and cross-discipline analysis.

Verdict

The concept is solid and the feature set addresses real pain points in BIM workflows. However, with only 11 stars and a credibility score of 0.699%, this is early-stage software that needs community validation before betting a production project on it. Worth watching, but hold off until you see real-world benchmarks and user testimonials.

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