StreamNative
Founded by the original developers of Apache Pulsar and Apache BookKeeper, StreamNative delivers the most comprehensive event streaming platform powered by Apache Pulsar. The StreamNative Platform is a cloud-native offering that complements Apache Pulsar, providing advanced capabilities to help accelerate real-time application development and to simplify enterprise operations at scale.
TRAINING
Apache Pulsar Training: https://streamnative.io/training/
StreamNative Academy: https://www.academy.streamnative.io/
From Connected Vehicles to Intelligent Agents: DDS-Pulsar Bridges Enable Agentic Fleet Intelligence
[Demo] StreamNative Kafka integration with StarTree (Apache Pinot)
[Use Case] Next-Gen Data Infra: Building Resilient, Scalable Architecture with Apache Pulsar
[Closing Keynote] Streaming at the Crossroads: Can One Architecture Rule Them All?
[Streaming Lakehouse] Flink Streaming Ingestion to Cloud-lake at Scale
[Streaming Lakehouse] High-throughput streaming Lakehouse with Apache Hudi
[Streaming Lakehouse] Schema Management and Streaming Data Products
[Streaming Lakehouse] StreamLink: Real-Time Data Ingestion at OpenAI Scale
[Streaming Lakehouse] Unlocking Real-Time Insights: Apache Doris in Stream and Lakehouse Integration
[Streaming Lakehouse] Real-Time Lakehouse Ingestion with StreamNative’s Classic Engine and Ursa
[Streaming Lakehouse] Streaming to Apache Iceberg Tables
[AI + Stream Processing] Flink SQL Changelog: Why should you care about them?
[AI + Stream Processing] Safe Streams at Scale: Uber’s Deployment Safety Framework for Flink Jobs
[AI + Stream Processing] Insights from streaming 300B telemetry trace spans per day with Flink
[AI + Stream Processing] The Need for Speed: Optimizing Flink for Low-Latency Stream Processing
[AI + Stream Processing] Beyond Stream Ingestion: Building Stream Processing Pipelines with Just SQL
[AI + Stream Processing] Building Real-Time Data Architectures for AI Chat
[AI + Stream Processing] From Events to Autonomy: Building an Event‑Driven Runtime
[Use Case] Complex Business Requirements + Lots of Data = High Cost? Not necessarily, here is why
[Use Case] From Pulsar to Lakehouse: Building a Unified Streaming Storage Engine with Ursa
[Use Case] Kafka Under Pressure: Netflix's Blueprint for Unshakeable Kafka Resilience
[Use Case] Real-Time Recommendation Systems: Transforming User Experience Through Session-Aware Data
[Use Case] A Survey of Cybersecurity Data Infra and How to Simplify It with Ursa and PuppyGraph
[Use Case] Streaming to Scale: Real-Time Infrastructure for AI
[Deep Dive] LazyLog: A New Shared Log Abstraction for Low-Latency Applications
[Deep Dive] Are Your Kafka Guarantees Actually Guaranteed?
[Deep Dive] Have Your Real-time OLAP and Upsert It Too
[Deep Dive] Unified Governance: Integrating Apache Pulsar with External Schema Registries
[Deep Dive] Solve a crime in 15 mins live with Kafka and AI
[Deep Dive] Everything You Wanted from Broker-Side Filtering (and More)