91: The Future of Streaming Data with Stripe, Deephaven, Materialize, and Benthos
This week on The Data Stack Show, Eric and Kostas chat with Jeff Chao, a staff engineer at Stripe, Pete Goddard, the CEO of Deephaven, Arjun Narayan, co-founder and CEO of Materialize, and Ashley Jeffs, a software engineer at Benthos. Together they discuss batch versus streaming, transitioning from traditional data methods, and define “streaming ETL” as they push for simplicity across the board.
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Show Notes
Highlights from this week’s conversation include:
- How we should think about batch versus streaming (6:02)
- Defining “streaming ETL” (9:34)
- A brief history of streaming processing platforms (22:07)
- The birth and evolution of Benthos (28:41)
- What led Jeff to build a new tool (34:29)
- Why you shouldn’t share all the data (37:23)
- Making streaming technologies approachable to engineers (42:09)
- Breaking out of traditional terminology (52:58)
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.
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