HomeTech PlusArtificial IntelligenceHow Expensify hacked its way to a robust, scalable tech stack

How Expensify hacked its way to a robust, scalable tech stack

Expensify EC-1 Part 4: Engineering and technology

Take a close look at any ambitious startup and you’ll find pugnacity nestled in its core. Stubbornness and a bullheaded belief in the worth of what a company wants to bring to fruition is often the biggest driver of its success, and the people at such companies also tend to share this quality.

So it wouldn’t be too far off the mark to say the people at Expensify are a stubborn lot — to the company’s ultimate benefit. This group of P2P pirates/hackers that set out to build an expense management app stuck to their gut, made their own rules. They asked questions few thought of, like: Why have lots of employees when you can find a way to get work done and reach impressive profitability with a few? Why work from an office in San Francisco when the internet lets you work from anywhere, even a sailboat in the Caribbean?

It makes sense in a way: If you’re a pirate, to hell with the rules, right? And even more so when nobody can explain the rules in the first place.

With that in mind, one could assume Expensify decided to ask itself: Why not build our own totally custom tech stack? Indeed, Expensify has made several tech decisions that were met with disbelief — from having an open-source frontend and cross-platform mobile development to hiring contractors to train its AI and recruiting open-source contributors — but its belief in its own choices has paid off over the years, and the company is ready to IPO any day now.

How much of a tech advantage Expensify enjoys owing to such choices is an open question, but one thing is clear: These choices are key to understanding Expensify and its roadmap. Let’s take a look.

Built on Bedrock

I think another question Expensify also decided to ask in its early days was something like: Why not have our database on top of a technology that’s built for small-scale application software?

It may sound incredible, but Expensify actually runs on a custom database built on top of SQLite. This is surprising, because despite being one of the most widely deployed database engines, SQLite is known for running on small, embedded systems like smartphones and web browsers, not powering enterprise-scale databases.

It may sound incredible, but Expensify actually runs on a custom database built on top of SQLite.

This custom database is called Bedrock, and its architecture is as unique as they come. Expensify explains it as an “RDBMS optimized for self-healing replication across relatively slow, relatively unreliable WAN (internet) connections, enabling extremely high availability/high performance multi-datacenter deployments without any single point of failure.” RDBMS means relational database management system, describing SQLite and other row-based databases where entries are interconnected with each other.

But why would Expensify build this instead of going for any number of widely available enterprise database solutions?

To answer that question, we need to go back to the early days of the company, which was originally a side project for its founder and CEO, David Barrett. His initial idea was to develop a prepaid card for the homeless, but this required putting a server on the Visa network, which brought several strict requirements and challenges. “I would say one of the most difficult [parts] was that I needed the ability to automatically replicate and failover,” Barrett told TechCrunch when we interviewed him a couple of months ago.

This was no easy feat in 2007, but Barrett was up for the challenge. “I just hit a moment where the technology available off the shelf just wasn’t that good. And I happened to be a peer-to-peer software developer who had tons of spare time and really wanted to build this thing to put on the Visa backend,” he said. The P2P aspect was important, as Barrett had the skills to make it work. His first hires for Expensify, P2P engineers he had worked with at Red Swoosh and Akamai, were also unusually suited for the job.

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