A streaming data pipeline is now available with the first low-code/no-code (LCNC) interface for Quix. With vast engineering teams, stream data has long been the exclusive domain of big tech. By using Quix’s out-of-the-box data connectors and open-source code sample library, anyone can manage data sources, transformations, and destinations with a few clicks.
Michael Rosam, CEO and co-founder of Quix, said, “This is a game-changer for companies that rely on redundant batch and ETL (extract, transform and load) systems. We delivered a platform that simplifies stream processing so that more companies can benefit from modern data ops.”
It is now easier to build pipelines and workflows for streaming data sets such as those from IoT and other digital devices with the latest product release from Quix.
The company has also launched a collection of open-source code samples, including Confluent Kafka, Twilio, and Amazon Kinesis connectors, allowing the community to take advantage of a network of contributors. Quix users can leverage an open-source SDK to achieve their primary goal: getting their solution up and running as quickly as possible.
Tomas Neubauer, CTO, and co-founder of Quix said, “Our experience building data applications with customers in industries such as mobility, finance, and manufacturing revealed a massive unmet need. Many companies are rapidly adopting Kafka for data streaming, but few people can use this complex infrastructure. We’ve solved this by creating a platform that simplifies working with data in Kafka.”
Within two weeks, Control, a provider of race-winning telemetry solutions, upgraded its mobile IoT application to improve data speed and resiliency using Quix. As a result, it can eliminate a performance degradation of up to 23% by ensuring the modems automatically connect to the best available network. In addition, Quix has erased a large amount of manual configuration which was accustomed to falling on Control’s engineer.