People-first, passionate, data-driven and adventurous
At Quix, we believe that great companies depend on passionate and adventurous people making data-based decisions within the safety of supportive teams. Our passion for supporting the streaming community and helping Quix users drives our energy and pursuit of excellence. This passion moves us forward when grounded in real-world data; we collect and evaluate data at the beginning, middle and end of every project and automate this process when possible to ensure effectiveness. Learning happens best on the edge of a comfort zone, where adventure and curiosity bring us, and failure occurs regularly. Quixers share their passion, data and experience with their teams to create a supportive and stimulating atmosphere for failures and triumphs. When teams function in this cohesive and empowering way, they produce more than the sum of their parts.
Success originates with the people involved. Quix focuses on equipping people with the technologies they love and home offices that fit them. We value flexibility, vacations, and bringing people together to form working and social relationships. We know we’re on the right track when people exceed their own expectations.
We’re hiring for open positions across the company. Join us.
The Stream community is busy meeting up this fall (in person!)
You’ll find developers, engineers and data scientists talking about stream processing applications at events in Munich, Berlin, London and Austin. Our next meetup is in London on September 20!
A visual guide to understanding streams in Redis and Kafka
Streaming is complicated. Let these fifty illustrations accompanied by code snippets clarify the depths of Kafka and Redis Streams.
Unbundling the modern streaming stack
Why is the modern streaming stack replacing classic streaming architecture? What’s the composition, and what values does it bring? Hear answers from Dunith Dhanushka, a developer advocate at StarTree.
The best-kept secret in data engineering
Statistician Josh Wills gives it away: If you control the upstream systems that generate the data you’re sending to your data warehouse, everything in your life gets better.
- DataStax CEO: Navigating The Stream Between Data At Rest And Data In Motion, Forbes
- Why You’re Probably Thinking About Real-Time Systems in the Wrong Way, Readwrite
- Data Mesh — A Data Movement and Processing Platform @ Netflix, Netflix technology blog
- A real-time object detection model for orchard pests based on improved YOLOv4 algorithm, Nature