Major speed and infrastructure updates

Our last changelog was back in August 2025, when we shipped updates to the REST API, Excel formulas, de-duplication, enrichment groups, text splitting, parameter grouping, filters, and more.

Since then, Databar usage has grown significantly. With that growth came real infrastructure challenges. Enrichment queues started taking longer than they should, and larger tables with 1,000+ rows began to feel sluggish.

So we hit pause on shipping new features and spent the last two months focused entirely on stability, performance, and tech debt.

The result is a noticeably faster and more reliable Databar.

🚤 Infrastructure and speed improvements

We’ve reworked large parts of our infrastructure to make Databar feel smooth and responsive, even at scale.

What’s changed:

• Enrichment queues are now scaled and fail-proofed to run faster and more reliably, even under heavy load

• Tables use significantly less memory and no longer lag as they grow

• Overall interaction now feels closer to Google Sheets: smooth scrolling, fast updates, and no freezing

If you work with large datasets, you should feel the difference immediately.

📜 Infinite scroll for large tables

Previously, tables loaded 600 rows at a time. Scrolling through large datasets meant waiting for each batch to load.

Databar now supports infinite scroll.

You can jump to the middle or the very end of a table instantly, no matter how large it is. This makes working with big datasets dramatically easier and faster.

⚡ Faster JSON Expander

We’ve also significantly optimized the JSON Expander.

If you export multiple values from a JSON cell into new columns, those exports now run up to 6x faster. JSON values are processed in parallel and appear at the same time, which removes UI lag and reduces pressure on enrichment queues.

Faster initial load

We’ve optimized large chunks of our code making load times & overall performance significantly better.

This update was about making Databar solid at scale. Faster tables, faster enrichments, and infrastructure that can keep up as usage grows.

As always, if you notice anything off or have feedback, let us know!