SWIRL Blog

September 2, 2025

Centralizing Your Data—The Slowest Way To Make It Useful 

The myth is persistent: before you can build AI, you have to centralize your data. Clean it. Transform it. Move it into some gleaming new architecture where everything is finally, blissfully unified. Then—and only then—can you start building something intelligent.

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Latest Articles


Stop Rebuilding the Stack. Start Getting Answers. 

August 28, 2025

Stop Rebuilding the Stack. Start Getting Answers. 

Every time a company tries to “get serious” about AI, the same pattern plays out: centralize the data, deploy a vector database, spend months re-architecting infrastructure, and then pray that something useful comes out the other side.

Another One Bites the Dust—RIP Vector Databases  

August 26, 2025

Another One Bites the Dust—RIP Vector Databases  

It’s been a rough time for vector databases. A wonderful, hot technology that’s suddenly run into some headwinds. Or maybe a small hurricane would be more accurate. That’s never happened to a hot technology before, right? Well, other than BigQuery, Hadoop, Google Glass, Second Life, Quibi. And mainframes. And a few others, enough to Segway to my next point (yes, the Segway failed too).

Teams Not Communicating? Time to Open the Data Silos!  

August 21, 2025

Teams Not Communicating? Time to Open the Data Silos!  

Sharepoint. Tableau. Snowflake. MongoDB. Salesforce. The list goes on and on. Maybe your business uses only some of them, maybe it uses all of them, or maybe it uses a completely different set of applications. It doesn’t really matter.

Acting in Real-Time—Instant Insights Without the Wait 

August 19, 2025

Acting in Real-Time—Instant Insights Without the Wait 

You’re driving down the highway at high speed. Suddenly, everything you see is delayed by 2 seconds. What happens? If you’re lucky, you just miss your exit. If you’re unlucky, you make the nightly news, although you may not be in a position to enjoy the publicity. 

Lost in the Centralization Fog? Why A Zero ETL Model Outperforms Data Centralization for AI 

August 12, 2025

Lost in the Centralization Fog? Why A Zero ETL Model Outperforms Data Centralization for AI 

Data centralization promises simplicity. In theory, you put all your data into one vector database, a lakehouse, or an advanced data fabric—and the AI just works. But in practice, it’s an illusion.

Centralization Doesn’t Solve Banking’s Complexity—It Amplifies It 

August 8, 2025

Centralization Doesn’t Solve Banking’s Complexity—It Amplifies It 

Centralizing banking systems adds cost, latency, and risk. SWIRL’s Zero ETL model lets AI agents access live data across platforms—without moving a single row.

You Can’t Orchestrate Chaos—Agentic Search Creates Order 

August 5, 2025

You Can’t Orchestrate Chaos—Agentic Search Creates Order 

From TMS to email threads, your data is everywhere. SWIRL brings agentic search to fragmented logistics systems—turning disconnected tools into real-time operational memory, with zero ETL.

The Fall of the House of Vector 

July 31, 2025

The Fall of the House of Vector 

Beneath the promise of vector databases lies hidden complexity, security gaps, and brittle pipelines. SWIRL offers a better path: Zero ETL, secure AI access, and answers without centralization.

They Keep Saying It. Why Are We Still Listening? 

July 29, 2025

They Keep Saying It. Why Are We Still Listening? 

"They" keep telling you to centralize your data and rebuild your stack—but it’s time to stop listening. Learn how SWIRL powers real-time, context-rich AI search without compromise.