The State of Streaming: Why It Has to Get Boring

What does the next decade of data streaming look like? In this episode, AlgoX2 Head of Product Addison Higham — who spent nearly ten years in streaming at StreamNative and Confluent — argues that streaming's next wave of growth comes from making it boring: cheaper, simpler, and as ubiquitous as the database. Relational databases have had 35–40 years to get easy. Streaming is barely ten years old. It's incredibly powerful, but most engineers still use it indirectly — it hasn't become the commodity that databases and object storage already are. Addison makes the case that closing that gap is the whole opportunity, and why he keeps coming back to streaming for a third time. What's covered: • Why streaming is still "niche" compared to databases and object storage — and what has to change • What a platform actually does: take complex things and make them simple enough that other teams move faster • Merging stream processing into the stream itself — ending the serialize/deserialize "Rube Goldberg machine" • From "one app, one database" to data that lives across the whole organization • The AI angle: lowering cognitive overhead so an LLM can bring streaming into an app without the Kafka-era complexity If you work with Kafka, event-driven systems, or real-time data — and you've felt how much overhead streaming still carries — this is a short, sharp take on where it's all heading. 🕐 Timestamps 0:00 Introduction 0:23 Three Times in Streaming — Why? 1:40 Cross-Pollinating NYSE-Grade Tech 2:20 What a "Platform Guy" Actually Does 3:45 The State of Streaming Today 3:55 Streaming vs Databases: Still Early 6:18 Merging Processing Into the Stream 8:14 One Dataset, Many Applications 9:44 Streaming as Invisible Fabric for AI 11:29 Follow the Journey 🔗 Links AlgoX2: https://algox2.com #DataStreaming #StreamProcessing #AIInfrastructure