Apache Druid
product on 2 shows · 6 statements across 2 episodes · said 56 times in 7 episodes since 2019
the MAD Podcast 53 
the a16z Podcast 3
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the MAD Podcast 53the a16z Podcast 3
2024 3 mentions in 1 episode
2021 13 mentions in 4 episodes 3 per episode
- Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- Fireside Chat: Aaron Katz (Co-Founder & CEO, ClickHouse) with Matt Turck (Partner, FirstMark)
- Fireside Chat: DeVaris Brown (Founder & CEO, Meroxa) with Matt Turck (Partner, FirstMark)
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6 statements about Apache Druid, every show
Pinterest reduced maintenance costs, latency, and infrastructure expenses by migrating to Druid
“And so we decided to migrate that to Druid. And so the maintenance cost has gone way down. The latency has gone way down. The actual cost of running the infrastructure way down. So really, really happy.”
Yang: Apache Druid was created to handle hundreds of billions of daily events
“It was created because the volume of data we were dealing with was reaching millions of events per second, and hundreds of billions of events per day.”
Yang: Apache Druid merges data warehouses, time series, and search systems
“Druid is a combination of a data warehouse merged with a time series database merged with a search system.”
Yang: Apache Druid can condense raw data 100x through roll-up aggregation
“If you have raw data that's, you know, a hundred gigabytes, Druid can sometimes condense it through roll-up to about a gigabyte in size, so a hundred X reduction.”
Yang: Wikimedia Foundation uses Apache Druid for internal analytics
“And this is actually how the Wikimedia Foundation itself does a lot of internal analytics on who's editing what on Wikipedia.”