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