Redshift
product on 5 shows · 13 statements across 12 episodes
Acquired 
the Y Combinator Startup Podcast 
In Depth 
Top Founders 
the MAD Podcast
13 statements about Redshift, every show
Handy: Enterprise data migration to the cloud truly began in 2020
“Enterprises really started moving to cloud for their data in twenty-twenty. There was like Hadoop stuff going on before that, but that like never really achieved any level of maturity or real penetration. And yes, Redshift and stuff like did exist prior to, an…”
ClickHouse sees demand to migrate workloads off Snowflake, BigQuery, and Redshift
“In the cloud data warehouse market, to answer your question specifically around Snowflake, we do see demand for customers to migrate off of technologies like BigQuery and Redshift, and Snowflake either for Cost or performance or both.”
Cloud data warehouses enabled modern multi-tool data architectures
“Architectures like this really have only become possible with the rise of folks like Snowflake, Databricks, Redshift, BigQuery, and this idea that as a data practitioner, I can have infinite compute at the kind of tips of my fingers without having to go outsid…”
Gilbert: Missing the data warehouse market to Snowflake is AWS's biggest failure
“It's probably AWS's biggest failure.”
Fraser: Amazon Redshift was the first cheap, fast data warehouse
“Redshift was incredibly important because it was, it came out in 2013. It was in the AWS console. It wasn't the first really good fast data warehouse, but it was the first one that was cheap.”
Elsamadisi: Redshift, Snowflake, and BigQuery perform identically on long tables
“The speed improvement on Redshift and versus Snowflake versus BigQuery becomes interchangeable. Because what they handle is for those edge cases, we have like a bunch of, like Snowflake is really good at a bunch of small tables everywhere trying to load a memo…”
Segment's revenue grew from $2.5M to $10M after launching its Redshift connector
“We'd grown revenue from zero to two and a half million in the first year. And then we launched this Redshift connector and the next year went from two and a half to 10.”
Thomas: Off-the-shelf data tools like Redshift become much more expensive
“We ended up resisting the urge to use something like Redshift or, you know, tools that people use, and those tend to get really more expensive.”
Cazena selected Redshift, Greenplum, Cloudera, and RStudio for its data platform
“We picked Redshift and Greenplum for SQL. We picked Cloudetta for Hadoop and Spark. We've added RStudio for data science.”
Instacart's data stack relies on Postgres, AWS Redshift, Python, and R
“All of our production data is in Postgres, and we will read from the secondaries in AWS. We push all of the Postgres data into Redshift and do a lot of more intensive batch computations off of Redshift. The data science teams are using either Python or R we do…”
Muglia: Dynamic compute scaling is impossible with Amazon Redshift
“In fact, it's possible to change the size dynamically on the fly based on the kinds of queries you're running. And none of that is possible with a traditional data warehouse running on premises or even a traditional data warehouse like Redshift running within,…”