StreamNative
StreamNative and Zilliz Cloud: Unified messaging and vector search
Use this integration for FreeAbout StreamNative
StreamNative is a messaging and streaming platform powered by Apache Pulsar, designed for cloud-native, event-driven applications. Founded in 2019 by Apache Pulsar's original creators, StreamNative offers unmatched expertise in designing and deploying large-scale Pulsar instances.
StreamNative's cloud service uses the Ursa engine, a data streaming engine compatible with the Kafka API and developed from Apache Pulsar. This allows users to connect to StreamNative Clusters using Kafka clients. Ursa, a Kafka-compatible data streaming engine, builds on StreamNative's experience with Pulsar, KoP (Kafka-on-Pulsar), and managing both Pulsar and Kafka at scale. It provides a cloud-native experience and enterprise-grade features that improve developer productivity and operational efficiency.
As the lead contributor to Apache Pulsar, StreamNative provides flexible Pulsar-as-a-Service options that can run in their cloud or yours. They offer enterprise-grade, fully managed Apache Pulsar with specialized support, training, guaranteed SLAs, and flexible deployment options, all backed by the support of experts who know Pulsar best.
Why Use StreamNative with Zilliz?
The integration of Zilliz Cloud and StreamNative combines powerful messaging capabilities with advanced vector search functionality. This pairing allows organizations to handle large-scale data streaming while enabling efficient similarity search operations.
By using StreamNative's messaging platform alongside Zilliz Cloud's vector database, developers can build data-driven applications that process and analyze information in real-time. This integration supports use cases such as recommendation systems, anomaly detection, and content-based search across various industries.
How StreamNative works with Zilliz Cloud
StreamNative handles the ingestion and distribution of data streams using a Kafka Connect Milvus Sink. As data flows through the system, it can be processed and transformed before being sent to Zilliz Cloud for vector storage and similarity search.
Zilliz Cloud indexes the incoming data as vectors, allowing for quick and accurate similarity searches. The integration enables seamless data flow between the two platforms, making it easy to build applications that require both real-time messaging and vector search capabilities.