**Proprietary Databases Can’t Keep Up With Fintech’s Pace**
For the first time in decades, the financial industry’s reliance on proprietary databases is being questioned. The likes of **Google**, **Facebook**, and **Amazon** have already shown that open-source alternatives can be more efficient and scalable – and now, fintechs and payment providers are following suit.
The reason behind this shift is simple: downtime is no longer tolerable. Even minutes of lost connectivity can trigger millions in losses and damage to a company’s reputation. **JPMorgan Chase**’s 2012 outage, which lasted just three hours and cost the bank an estimated $125 million, serves as a stark reminder of what’s at stake.
In contrast, open-source databases like **Apache Cassandra** and **RocksDB** are designed to handle massive amounts of data and traffic, often with better performance and at a lower cost. They’re also highly customizable, allowing developers to adapt the technology to their specific needs.
**What this means**: For fintechs, payment providers, and even traditional banks, open-source databases offer a more agile and cost-effective way to manage their operations. By embracing open-source technology, these companies can focus on innovation rather than maintenance, ultimately improving the user experience and their bottom line.
The benefits of open-source databases extend beyond scalability and cost savings. They also provide transparency and accountability, as open-source code can be reviewed and audited by the community. This can be particularly appealing in an industry where trust is paramount.
As fintechs and payment providers continue to adopt open-source databases, we can expect to see more widespread adoption of this technology. In fact, companies like **Stripe** and **Square** are already leveraging open-source databases to power their real-time risk engines and customer transactions.
