Eric Anderson (@ericmander) is joined by Alexander Gallego (@emaxerrno) for an examination of Redpanda, the source available event streaming platform designed as a drop-in replacement for Kafka. Redpanda’s storage engine is attractive to developers for its performance and simplicity, removing the complexity of running Kafka to scale and deploying with a single binary. Listen to today’s episode to learn more about how Alexander and the team at Vectorized are looking to advance the conversation around streaming into the future.

In this episode we discuss:

• What Alexander means when he says that hardware is the platform for data streaming
• The 3 things that turn a data stream into a data product
• Comparing Redpanda to Kafka and Pulsar
• A difference in product philosophy between selling to data teams vs app developers
• How Alexander approached the challenge of monetizing data infrastructure
  

Links:

• Redpanda
• Vectorized
• Apache Kafka
• Apache Pulsar
• Apache Spark
• Apache Beam
• Apache Storm
• Apache Flink
• Elastic
• CockroachDB
  

Other episodes:

• TensorFlow with Rajat Monga
• Scylla with Dor Laor