Skip to content

Starburst Galaxy

Starburst Galaxy is an advanced data analytics platform designed to accelerate SQL analytics across distributed data sources, enabling instant insights without data movement.

Quix enables you to sync to Apache Kafka from Starburst Galaxy, in seconds.

Speak to us

Get a personal guided tour of the Quix Platform, SDK and API's to help you get started with assessing and using Quix, without wasting your time and without pressuring you to signup or purchase. Guaranteed!

Book here!

Explore

If you prefer to explore the platform in your own time then have a look at our readonly environment

👉https://portal.demo.quix.io/?workspace=demo-dataintegrationdemo-prod

FAQ

How can I use this connector?

Contact us to find out how to access this connector.

Book here!

Real-time data

Now that data volumes are increasing exponentially, the ability to process data in real-time is crucial for industries such as finance, healthcare, and e-commerce, where timely information can significantly impact outcomes. By utilizing advanced stream processing frameworks and in-memory computing solutions, organizations can achieve seamless data integration and analysis, enhancing their operational efficiency and customer satisfaction.

What is Starburst Galaxy?

Starburst Galaxy is a cloud-native SQL query engine that allows organizations to perform analytics on data no matter where it resides. It unifies data access across various sources, empowering users to analyze data in real-time with a single, easy-to-use interface.

What data is Starburst Galaxy good for?

Starburst Galaxy excels in accessing and analyzing distributed datasets without the need for data duplication or movement. It is especially effective for real-time data analytics, enabling businesses to derive insights from diverse data silos swiftly and efficiently.

What challenges do organizations have with Starburst Galaxy and real-time data?

Challenges with Starburst Galaxy and real-time data often include ensuring consistent data availability and managing diverse data formats across different sources. Technical complexities can arise in optimizing query performance while maintaining low latency in dynamic, multi-cloud environments.