Netflix

includes Netflix Meson

16 statements across 11 episodes · 5 bullish · 1 bearish · 10 people on the record · first statement Mar 3, 2014 by Corey Pearson · said 102 times in 46 episodes since 2013 · across every show →

Mentions by year, the whole family

brought up most by Matt Turck (14), Aaron Katz (8), Savin Goyal (7), Josh Bloom (5), Chip Huyen (5), Vijay Subramanian (4), Kuang Chen (4), Chris Moody (4)

tap a year for its mentions
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03620132014201520162017201820192020202120222023202420252026episodes it came up in
00438620132014201520162017201820192020202120222023202420252026episodesmentions per episode
2026 4 mentions in 1 episode
2025 4 mentions in 4 episodes 1 per episode
2024 8 mentions in 3 episodes 3 per episode
2023 1 mention in 1 episode
2022 3 mentions in 3 episodes 1 per episode
2021 31 mentions in 5 episodes 6 per episode
2020 2 mentions in 2 episodes 1 per episode
2019 3 mentions in 2 episodes 2 per episode
2018 4 mentions in 3 episodes 1 per episode
2017 7 mentions in 4 episodes 2 per episode
2016 8 mentions in 5 episodes 2 per episode
2015 9 mentions in 4 episodes 2 per episode
2014 12 mentions in 6 episodes 2 per episode
2013 6 mentions in 3 episodes 2 per episode

every mention, scene by scene, with the transcript →

Everything said about Netflix, oldest first

Mar 3, 2014 neutral
Insight
Retail churn is fuzzy and non-deterministic compared to subscription businesses
“And in the world of retail, this concept of churn is really fuzzy. So Netflix knows when their customers quit, you know, because you actually cancel. But a retailer, you know, your big retail brand, Amazon or something, and you had this customer who was orderi…”
Corey Pearson Mar 3, 2014 ▶ 12:53 Corey Pearson, Custora // Data Driven NYC 23 // January 2014 (Hosted by FirstMark Capital)
Sep 22, 2014
Assertion Not checkable as stated
Netflix generates 10 to 30 terabytes of log data daily
“Netflix is spitting out anywhere from 10 to 20 or 30 terabytes a day”
Vance Loiselle Sep 22, 2014 ▶ 2:16 Vance Loiselle, Sumo Logic // Data Driven #29 // Sep 2014 (Hosted by FirstMark Capital)
Nov 23, 2015 positive
Insight
Bloom: Netflix and Google build fault tolerance to handle ML errors
“Netflix and Google, some of the best machine learning companies in the world, and these are their core products, and they still make mistakes. Yet these are not fatal mistakes. They've built fault tolerance into the machine learning.”
Josh Bloom Nov 23, 2015 ▶ 16:49 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Nov 23, 2015 negative
Assertion Supported
Bloom: Netflix couldn't deploy its $1M prize algorithm due to complexity
“They paid a million dollar bounty, and they wound up looking at the code, and there were hundreds of separate models that were then boosted together, and they said there's no way we can do it.”
Josh Bloom Nov 23, 2015 ▶ 10:28 Machine Learning in Production with Josh Bloom, Co-founder Wise.io
Mar 18, 2016 neutral
Assertion Not checkable as stated
Netflix relies completely on implicit data rather than explicit user feedback
“At Netflix it was like pulling teeth to get the customer to tell you anything about themselves, right? They rely completely on implicit data.”
Eric Colson Mar 18, 2016 ▶ 18:40 Combining Machine Learning With Expert Human Judgement // Eric Colson, Stitch Fix
Jun 16, 2016
Assertion Supported
Narkhede: Apache Kafka is used by thousands of companies worldwide
“Since we open sourced it, you know, roughly five years ago, Kafka is used in thousands of companies worldwide, from Uber, and LinkedIn, and Netflix, all the way to traditional enterprises like eBay, and PayPal, and Cisco, and Goldman Sachs.”
Neha Narkhede Jun 16, 2016 ▶ 10:13 A Kafka-Powered Real-Time Streaming Platform // Neha Narkhede, Confluent [FirstMark's Data Driven]
Mar 19, 2019 positive
Assertion Not checkable as stated
Borgman: Netflix uses Parquet for essentially all of its infrastructure
“Ah, Parquet, Netflix uses that for all of their infrastructure essentially.”
Justin Borgman Mar 19, 2019 ▶ 9:14 Optionality in Data Architecture // Justin Borgman, Starburst Data (FirstMark's Data Driven NYC)
Feb 17, 2021
Disclosure
Netflix data scientists are free to choose their own tools
“Netflix has this really interesting corporate culture of freedom and responsibility. Which means that our data science teams, they are essentially free to use whatever tooling that works best for them.”
Savin Goyal Feb 17, 2021 ▶ 19:51 Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
Feb 17, 2021
Assertion Not checkable as stated
Netflix drives ETL and ML pipelines using internal scheduler Meson
“We have a workflow scheduler called Mason. Mason, which is a program scheduler that's being used to drive all of our ETL as well as machine learning pipelines.”
Savin Goyal Feb 17, 2021 ▶ 4:29 Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
Feb 17, 2021 neutral
Disclosure
Netflix's machine learning infrastructure team consists of six engineers
“My team has six engineers right now.”
Savin Goyal Feb 17, 2021 ▶ 2:28 Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
Feb 17, 2021
Assertion Not checkable as stated
Netflix uses open-source Titus for container orchestration
“In terms of compute our container orchestration platform is called Titus, which is yet another open source project.”
Savin Goyal Feb 17, 2021 ▶ 3:55 Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
Feb 17, 2021
Assertion Not checkable as stated
Netflix uses S3, Spark, Presto, and Snowflake for data querying
“We use SG as so like the storage layer for our data warehouse, and we use Spark, Presto, Snowflake as our query engines.”
Savin Goyal Feb 17, 2021 ▶ 3:23 Fireside Chat: Savin Goyal (ML Infra team (Metaflow), Netflix) with Matt Turck (Partner, FirstMark)
Mar 15, 2021 neutral
Assertion Partly supported
Chip Huyen: Netflix generates recommendation batches offline rather than in real time
“All these recommendations actually generate offline.”
Chip Huyen Mar 15, 2021 ▶ 11:05 Fireside Chat: Chip Huyen with Matt Turck (Partner, FirstMark)
Nov 17, 2022 positive
Assertion Not checkable as stated
Spencer Kimball: Netflix operates hundreds of CockroachDB clusters
“They have hundreds of cockroach clusters already.”
Spencer Kimball Nov 17, 2022 ▶ 23:03 A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
Jun 13, 2024 positive
Assertion Supported
ClickHouse counts Spotify, Netflix, Disney, and Uber as customers
“We are taking this very powerful analytical database that's used by companies like Spotify and Netflix and Disney and Uber and eBay and Cloudflare, and we're building a managed service in the cloud that we're calling ClickHouse Cloud.”
Aaron Katz Jun 13, 2024 ▶ 2:05 How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
Jan 30, 2025 positive
Assertion Partly supported
Justin Borgman: Starburst created Trino, used by Netflix, Airbnb, and LinkedIn
“We're the creators of an open source project called Trino, which is a pretty popular project used by a lot of the Big internet companies like Netflix and Airbnb and LinkedIn and so forth.”
Justin Borgman Jan 30, 2025 ▶ 1:47 Trino, Iceberg and the Battle for the Lakehouse | Justin Borgman, CEO, Starburst
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