The Data Streaming Revolution

A vision of large-scale automation

October 15, 2024

There’s an IT revolution unfolding right before our eyes, and chances are you haven’t heard of it yet. It doesn’t come with a big announcement, a loud bang — it’s quiet in the background, but its momentum is undeniable. And, contrary to what you might think—it’s not AI.

In the very near future, organizations will be highly interconnected, fully autonomous entities. The scale of automation and data necessary to sustain this future is unprecedented. This isn’t just another version of the old IT, polished with a bit of AI on top. No. The IT systems of the past cannot handle what’s coming. It’s that simple.

They weren’t built for the scale of data, the level of automation, or the pace of change. Imagine a high-speed conveyor belt connecting every corner of your organization, dismantling the data silos that have long stifled innovation. Imagine an IT infrastructure that is no longer a bottleneck, but an accelerator. This is the future, and it is happening now.

What drives this future? Data streaming. Everyone’s talking about AI, but few understand that data streaming is the invisible force bringing AI and large-scale automation to life. Data streaming connects every aspect of your business. The game changer: it provides seamless access to data, empowering business units to easily tap into the information they need. New processes can be integrated as effortlessly as plug-and-play.

Businesses must be as dynamic as the world they operate in.In the most forward-thinking companies, business processes live as software, and that software must evolve continuously. The rigid systems of the past are relics—too slow, too inflexible. The faster you can adjust your software, the less burden it places on operations, and the more adaptable you become to market shifts. The equation is irrefutable: the agility of your processes defines the agility of your business.

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Most think of data streaming in terms of its intrinsic, real-time use cases. This is a narrow, shortsighted view. Yes, processing immense data with sub-second latency is powerful, but the true power is bigger. Data streaming is the new architecture for how businesses evolve, adapt, and thrive in an interconnected, ever-changing world.

However, the data streaming industry is stuck in the same traps that have long hindered IT: complexity, fragmentation, and a dizzying sea of options that lead to paralysis. When systems are built on static, outdated thinking, failure is inevitable. The way applications are developed in today’s businesses doesn’t scale. Projects collapse under their own weight, and IT—once the backbone of innovation—has become a roadblock.

This must end. A new era of IT is on the horizon—one that focuses relentlessly on driving business outcomes. That’s what we believe at Xeotek – that’s why we exist: to break the chains of complexity and deliver the power of data streaming directly to you. The Data Streamhouse is our response to this challenge—a transformative solution that empowers organizations with the full potential of data streaming. In my recent letter, I outline our vision and offer a blueprint for others to join.

Data streaming is a revolution. Its impact is profound: it’s transforming businesses and laying the groundwork for the future. It powers AI, removes complexity, and enables IT to become the true catalyst for innovation, evolving into a dynamic, interconnected ecosystem.

The early movers will outpace any competitor. The automation capabilities unlocked by this technology will put them lightyears ahead. And once they start accelerating it’s hard to catch up. The same is true for the people that turn this vision into a reality. The engineers are the backbone of this revolution. Now is the moment— There's never been a better time to join the revolution.

Benjamin Buick

Chief Executive Officer & Founder

Technology leader with a passion for data streaming and distributed systems. Obsessed with making data streaming easier.

The Data Streaming Revolution

Benjamin Buick

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