Multi protocol strength StreamNative’s native support for both Kafka and Pulsar within a unified Lakestream architecture presents a compelling cross-sell to customers leveraging either ecosystem, enabling seamless integration for mixed streaming workloads and reducing vendor fragmentation.

Cost efficiency edge With the Ursa Engine delivering 95% lower TCO and eliminating cross-AZ costs and expensive storage, target enterprises prioritizing cost containment in large-scale streaming and lakehouse deployments.

Lakehouse integration Direct lakehouse connectivity to Apache Iceberg and Delta Lake without ETL or connectors opens upsell avenues with data lake owners seeking real-time analytics and unified data pipelines without duplication.

AI and automation Agent-Ready capabilities for event-driven AI and LLM actions position StreamNative to engage teams pursuing AI-native streaming, autonomous automation, and real-time decisioning across operations and product experiences.

Cloud and partnerships Recent expansions including Google Cloud BigLake integration, Azure support, and private cloud Ursa offerings signal opportunities to collaborate with cloud providers and enterprise customers standardizing on hybrid or multi-cloud architectures.