Keeping pace with news and developments in the real-time analytics and AI market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox, sign up here! StreamNative, founded by the creators of Apache Pulsar, introduced Lakestream, a new architectural paradigm for lakehouse-native streaming. The impetus for the solution is that traditional streaming systems push interoperability up to the protocol layer, creating data silos for each protocol. In contrast, Lakestream pushes interoperability down to the storage and catalog layers, achieving unification through a shared lakehouse-native storage foundation and unified metadata catalog. Streams become first-class lakehouse primitives alongside tables. As a result, Lakestream unifies data streaming and the lakehouse. The approach is analogous to that of the lakehouse paradigm, which demonstrated that data warehouses and data lakes donât need to be separate. In this case, Lakestream streaming and the lakehouse donât need to be separate either. In practice, a Kafka topic and an Iceberg table can be the same object: no movement, no connectors, no waiting. The Lakestream architecture that makes this possible is built on three layers: cloud-native stream storage that writes directly to object storage in open formats (Iceberg, Delta Lake); a Lakestream Catalog that federates with Databricks Unity Catalog, Snowflake Horizon Catalog, and AWS S3 Tables; and stateless protocol servers that let Kafka, Pulsar, and other protocols all write to the same underlying storage. In other company news, StreamNative announced the launch of Ursa For Kafka (UFK). The solution is a native Apache Kafka service that puts the Lakestream vision into practice. Real-time analytics news in brief BMC Software announced new innovations with purpose-built AI embedded in the mainframe tools that operators and developers use daily. New mainframe AI