Can It Run Doom: SQL Database Edition?

If you have spent any time browsing the internet over the last two decades, you have undoubtedly run across the internet adage: “Can it run Doom?”. Originally born out of a challenge in the 1990s when id Software released their groundbreaking first-person shooter, this cultural phenomenon has become a rite of passage for every piece of computing hardware and software imaginable. Gamers, programmers, and hardware enthusiasts have successfully ported Doom to pregnancy tests, digital cameras, Oscilloscopes, smart refrigerators, and even inside the text editor Vim. But just when you thought the community had exhausted every possible computing medium, a new champion has emerged to push the boundaries of absurdity and technical ingenuity even further.

Enter the SQL Database Edition of Doom. Yes, you read that right. Someone actually managed to run the iconic demon-slaying shooter entirely inside a relational database using standard Structured Query Language. As reported by Ars Technica, this jaw-dropping achievement forces us to reconsider what databases are capable of doing. Today at TechRook, we are diving deep into how this technological witchcraft works, the hurdles the developer had to overcome, and why this feat is both brilliant and utterly terrifying.

The Eternal Question: What Can Run Doom?

Before we look at the database version, it helps to understand why Doom is such a prime candidate for these kinds of projects. Released in 1993, Doom was a marvel of software engineering by John Carmack, John Romero, and the rest of the id Software team. It utilized clever rendering tricks like Binary Space Partitioning (BSP) trees and raycasting to simulate a 3D environment on hardware that, by modern standards, is laughably weak.

Because the original source code was eventually opened up to the public, programmers gained the ability to deconstruct the game down to its bare essentials. Over the years, the “Can it run Doom” meme transformed from a test of raw hardware processing power into a test of Turing completeness. If a system can process logic, loop through data, and manage state, theoretically, it can run Doom. However, moving from theoretical capability to actual gameplay on platforms never designed for graphics—like a database query engine—requires a staggering amount of dedication and clever hacking.

How Do You Turn a Database Into a Game Engine?

To understand the magnitude of running Doom inside a SQL database, we first need to look at what SQL actually is. SQL, or Structured Query Language, is a domain-specific language designed for managing data held in a relational database management system (RDBMS). It is declarative, meaning you typically tell the database what data you want, not necessarily how to compute every single step to get it. Databases are optimized for retrieving rows, joining tables, filtering records, and aggregating numbers—not for rendering real-time 3D graphics, handling user input at 35 frames per second, or playing MIDI audio tracks.

So, how did a developer bridge the massive gap between a relational database and a 1990s action game? The secret lies in treating the database tables as framebuffers and utilizing stored procedures, user-defined functions (UDFs), and procedural logic to execute the game loop.

In simple terms, the game state—including player coordinates, enemy positions, map geometry, and weapon status—is stored entirely within database tables. Every single frame of the game is calculated by running a massive, complex SQL query or a series of procedural loops inside the database engine. Once the math for the frame is computed, the resulting pixel data is outputted, often rendered as ASCII art directly into the query results console or mapped to visual grid cells.

Breaking Down the Mechanics

• State Management: Player health, ammunition, and coordinates are updated via standard UPDATE and INSERT statements.
• Rendering: Raycasting calculations are translated into mathematical formulas that can be processed by database functions.
• Game Loop: Database triggers and procedural blocks keep the game ticking, updating frames iteratively based on a simulated clock.

The Ars Technica Spotlight: Engineering Marvel or Madness?

The technical community took serious notice when reports surfaced detailing how developers managed to execute this project. According to breakdowns highlighted by tech outlets like Ars Technica, getting Doom to run in this environment was no walk in the park. Developers had to work around massive performance bottlenecks. SQL databases are simply not built to handle millions of rapid, repetitive mathematical calculations per second in the way a dedicated CPU or GPU can.

As a result, the frame rate is measured not in frames per second, but potentially in seconds per frame. Yet, performance is secondary to the sheer novelty and educational value of the project. It showcases the incredible flexibility of modern database systems, many of which now include robust procedural programming languages embedded directly into their architecture (such as PL/pgSQL in PostgreSQL or T-SQL in Microsoft SQL Server).

When you look at the code powering the SQL version of Doom, you are witnessing a masterclass in lateral thinking. Programmers had to rethink traditional game engine architecture. Instead of relying on pointer memory management and hardware acceleration, they relied on relational algebra and set-based operations to simulate a virtual world.

Why Do Developers Do This?

Casual observers often look at projects like this and ask a very fair question: Why? Why spend hundreds of hours figuring out how to render a 1990s shoot-em-up inside a data storage management tool when you could just play it on a PC, a smartphone, or a web browser?

The answer boils down to several key factors that drive the tech community:

1. Pushing Boundaries: Programmers love a challenge. Solving a seemingly impossible problem expands human knowledge and tests the absolute limits of software design.
2. Deep Learning: To port Doom to SQL, a developer has to master both the inner workings of the Doom source code and the advanced, often underutilized features of the database engine.
3. Community Culture: The tech and gaming worlds thrive on shared jokes, easter eggs, and community-driven milestones. Being part of the lineage that answers “Can it run Doom?” is a badge of honor.
4. Proof of Concept: While running a video game in a database is impractical for daily use, the underlying techniques—such as optimizing complex procedural loops and memory management within restricted environments—can translate to performance gains in enterprise database applications.

Comparing Unusual Doom Ports

To truly appreciate the SQL database edition, it helps to look at some of the other wild platforms that have successfully run the game over the years. Each platform required a radically different approach to problem-solving.

Platform	Main Challenge	Solution
Pregnancy Test	Extremely limited tiny screen and tiny CPU.	Replaced internal hardware entirely with a tiny microcontroller while keeping the plastic shell.
Cisco Routers	Running on networking firmware.	Leveraged open-source Linux environments embedded within high-end enterprise networking gear.
Notepad (Text Editor)	Lack of execution engine.	Used external scripts and rendering tricks to project frames directly into text interfaces.
SQL Database	Data storage focus instead of real-time graphics.	Used stored procedures, relational tables, and mathematical queries to calculate and display frames.

The Technical Challenges of SQL-Based Rendering

Let us dive a bit deeper into the database architecture required to pull this off. Standard relational databases operate on the principle of ACID properties (Atomicity, Consistency, Isolation, Durability) to ensure data integrity. They are designed to safely store financial transactions, user records, and inventory lists—operations where speed is balanced carefully with safety.

Real-time gaming, on the other hand, is chaotic. It demands immediate, volatile state updates where dropping a frame or two is completely acceptable if it keeps the action moving. When a database is forced to act as a game engine, the overhead of transaction logs, locking mechanisms, and query parsing creates massive latency.

To make Doom run, developers often had to disable or bypass standard safety features that slow down processing, running queries in high-performance memory-optimized tables. Every single wall collision, monster movement, and projectile trajectory requires recalculating rows in a grid. Watching it run feels like watching a digital painting slowly assemble itself line by line, query by query.

What This Means for the Future of Databases

While database administrators certainly should not start replacing their enterprise reporting tools with first-person shooters, experiments like the SQL Doom port highlight fascinating trends in software development. Modern database engines are becoming increasingly powerful computing environments in their own right.

With the rise of advanced procedural extensions, in-memory processing, and complex data analytics, databases are handling heavier computational loads closer to the data source. This reduces latency and opens up new possibilities for edge computing and real-time data processing. If a database can calculate raycasting math and render a retro video game, it can certainly handle complex business logic, machine learning inference models, and real-time stream processing with ease.

Conclusion: The Legend Lives On

The enduring legacy of Doom is a testament to the creativity of the global tech community. Thirty years after its initial release, the game continues to find new life in the most unexpected places. The SQL Database Edition is not just a funny internet meme; it is a brilliant display of technical prowess, proving that with enough coffee, patience, and programming knowledge, you can bend almost any piece of software to your will.

As developers continue to push the boundaries of what is possible, we at TechRook will be right here watching to see what impossible platform conquers the classic shooter next. Until then, remember to back up your databases, optimize your queries, and keep an eye out for wandering Cacosdemos lurking in your spreadsheet rows.