Analyze test data instantly

Slow data loading kills analysis before it starts

Loading a single test comparison takes 10-15 minutes. Multiply that by 4 engineers, 50 times a week. That's hundreds of hours spent waiting.

But the real cost isn't the waiting, it's the analysis that never happens. When loading data is painful, engineers skip the comparisons that could catch problems early.
This happens because most test data systems weren't designed for fast queries. Data gets dumped into network drives or SQL databases that choke on high-frequency time-series data.

Quix solves this with a storage architecture purpose-built for engineering data.

How Quix makes data loading fast

Store data in a query-optimized format

Quix writes test data to a Lakehouse designed for time-series queries. The storage format lets you scan billions of rows without loading everything into memory.

Pre-process data as it arrives

Instead of cleaning and normalizing data after every test, Quix runs your processing logic as data streams in. When you query, the data is already in the format you need.

Serve data through fast APIs

Quix exposes your test data through APIs built for interactive analysis. Pull exactly the signals and time ranges you need. No more loading entire datasets to extract one measurement.

What you can do when loading is instant

Run comparisons you'd normally skip

When loading takes seconds instead of minutes, engineers actually compare current results against historical baselines. Problems get caught in the first test run, not the fifth.

Generate reports automatically

Set up automations that detect when a test completes and generate analysis reports immediately. Engineers start the day with fresh results instead of spending the morning preparing data.

Query across your entire test history

Search for patterns across months of test data without waiting for batch exports. In a few seconds, you can find every test where a specific parameter exceeds a threshold.

Explore interactively during tests

With fast enough queries, you can check results while a test is still running. Catch anomalies in minute 5, not after hours of wasted rig time.

How Quix connects to your existing test infrastructure

Quix integrates with your DAQ systems, LabVIEW, and existing databases. Data flows through stream processing into a Lakehouse optimized for engineering queries.

Trusted by data-intensive R&D teams at:

The middle ground between flexibility and convenience

You build it, we help you succeed

Many engineering teams don't have software expertise, which is why we provide expert consulting to get you up and running. We can also run workshops to show your engineers how to accelerate data processing and leverage AI coding tools effectively to build better data pipelines.

Get a working pilot in days

You don't need a 6-month business case. Get a pilot running with a small representative dataset. Show stakeholders a live demo with real query times instead of a slide deck.

Runs on your infrastructure

Quix deploys on-premise or in your own VPC. No data ever leaves your network. Once deployed, Quix operates without any connection to the outside world, which is why teams in defense, aerospace, and other regulated industries trust it for sensitive programs.

No vendor lock-in

Quix runs on open-source technologies: Kafka, Kubernetes, standard time-series databases. If you ever need to walk away, you keep the blueprint, the code, and the skills.

Get our latest whitepaper:

'How to Accelerate R&D with Modern Data Engineering Principles'

Learn how F1 teams architect their test data for faster analysis, and apply the same patterns to your facility.