Episode description

Highlights from this week’s conversation include:

• Johnny and David’s background in working together (1:56)
• The background story of Estuary (4:15)
• The challenges of ad tech and the need for low latency (5:44)
• Use cases for moving data at scale (10:35)
• Real-time data replication methods (11:54)
• Challenges with Kafka and the birth of Gazette (13:54)
• Comparing Kafka and Gazette (20:22)
• The importance of existing streaming tools (22:28)
• Challenges of managing Kafka and the need for a different approach (23:40)
• The role of compaction in streaming applications (26:54)
• The challenge of relaxing state management (34:01)
• Replication and the problem of data synchronization (36:48)
• Incremental Back Fills and Risk-Free Production Database (46:03)
• Estuary as a Platform and Connectors (47:45)
• The challenges of real-time streaming (57:56)
• Orchestration in real-time streaming (1:00:51)

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.