📄️ Quickstart
Create a stream processor that reads data from Kafka in less than 5 minutes.
📄️ SQLFlow: Join Kafka With Postgres To Enrich Real time Data Streams
Combining real-time streaming data with operational data, from systems like #postgresql, is a common challenge. Whether you're enriching live transaction streams with user profiles, correlating sensor data with metadata, or performing dynamic lookups for analytics, the ability to join these two types of data sources is essential.
📄️ Using SQLFlow to Sink 5000 Rows / Second from Kafka To Postgres
Modern data workflows often require streaming data from real-time sources like Kafka into reliable, queryable storage systems such as PostgreSQL. While this task is essential for many analytics and operational pipelines, implementing it can be complex—often involving custom code, multiple tools, and extensive configuration.