Learn how the Linux Foundation powers real-time open source project analytics for LFX Insights, replacing a 12-hour Snowflake feedback loop with sub-second data freshness.

Tinybird is a real-time data analytics platform for building fast and scalable data pipelines, offering tools for data ingestion, processing, and visualization. From this blog users can learn about stream processing, data warehousing, and analytics techniques to unlock insights from their data and make data-driven decisions.

Tinybird

The Linux Foundation replaced a 12-hour Snowflake batch sync with Tinybird for real-time analytics on their LFX Insights platform, which tracks 6,000+ open source projects. By streaming Postgres changes through Kafka into Tinybird, they eliminated the half-day feedback loop that slowed development and showed users stale data. The migration improved data freshness to near real-time, reduced costs by decoupling freshness from budget constraints, and enabled a two-person team to ship a complete analytics product quickly on unfamiliar technology.

The Linux Foundation tracks 700M+ open source events in real-time with Tinybird

Postgres for transactions, Snowflake for analytics, twelve hours in between

Twelve hours to know if your change worked