Why Quix?

Data engineering is broken.

What’s getting in the way of building data-driven products and applications?

Messy

Data systems are a tangled mess of spaghetti. Some teams run thousands of nested SQL transformations to unify and analyze information. The modern data stack makes this worse — more siloed tools, less control, less power to build.

Time-consuming

Data teams spend 80% of their time building and maintaining data plumbing. Highly skilled data practitioners move data from A to B rather than building business logic and value-added analytics features.

Inaccessible

Engineers that work with data have the domain expertise, but not the freedom, to build data products. They’re blocked by non-functional tasks like DevOps, test and integration.

See data applications at work

“

“All the ETL that people are doing today and all the data processing that they’re doing today could be simplified if you actually turn it into a streaming case. You don’t have to worry anymore.”

— Ali Ghodsi, CEO, Databricks

It’s time for a better solution

Help your entire organization become streaming-first

Quality

Streaming-first improves data quality by cleaning and preparing data in motion. With well-ordered data flowing into a warehouse, more people can self-serve information for analytics and machine learning.

Efficiency

Streaming-first increases efficiency by processing data “in memory” using a message broker. The distributed architecture needs no I/O operations, and can efficiently share intelligence with any downstream system.

Speed

Streaming-first helps organizations deliver modern domain-driven design architecture. Microservices provide simple and reusable code so data practitioners can deliver higher quality features, faster.

Quix is a stream processing platform for data in motion

With software engineering best practices built in, Quix enables every engineer to develop, test, version control and CI/CD mircoservices to process data in the cloud.

Quix transforms data into products

1

Connect

Integrate with streaming and batch data using connectors, APIs and SDK.

2

Prepare

Clean, join and aggregate data. Engineer features — all in memory.

3

Analyze

Run physics, ML, AI and simulation models on data in real time.

4

Act

Automate systems, drive product features, deliver insights, or simply store higher-quality data.

1

Connect

Integrate with streaming and batch data using connectors, APIs and SDK.

2

Prepare

Clean, join and aggregate data. Engineer features — all in memory.

3

Analyze

Run physics, ML, AI and simulation models on data in real time.

4

Act

Automate systems, drive product features, deliver insights, or simply store higher-quality data.

Leading companies are streaming-first

Learn how to accelerate your data and modernize your stack

Start for free

Book a demo