New to Pulsar and StreamNative?

Start here to learn about key features of Pulsar and the benefits of working with StreamNative.

Integrate Seamlessly with Snowflake using Snowflake Open Catalog or Snowpipe Streaming

StreamNative is partnering with Snowflake to provide cost-effective, real-time data ingestion to Snowflake. Use StreamNative’s Ursa Engine to create a Streaming Augmented Lakehouse, saving data directly to Iceberg format and making the data available in Snowflake Open Catalog. Or use StreamNative’s built-in Kafka and Pulsar Snowflake Connectors to take advantage of Snowflake’s real-time data ingestion with Snowpipe Streaming.

Explore Streaming AI with StreamNative Pulsar Functions and AWS Bedrock

It’s fast and easy to incorporate AWS Bedrock Foundation Models into your streaming applications using Python Pulsar Functions in a StreamNative cluster. Use AWS Bedrock with Anthropic Claude, Cohere, and Meta’s Llama for creating vector embeddings, completing a similarity search, and summarizing data.

Get Started Quickly with Free Hands-on Tutorials

Spin up a Free StreamNative Pulsar Cluster and follow along with these tutorials to quickly start publishing messages using the Kafka or Pulsar protocols.

Developer Instructor-Led Training (Paid)

Get hands-on experience using all of the Pulsar Java Client’s features while creating a scalable messaging and streaming application. Click Enroll Now to view next available dates. Optionally, after completing Practical Apache Pulsar Application Development, show mastery by completing the Developer Certification Level 1.

Operator Instructor-Led Training (Paid)

Learn to install, configure, and manage a StreamNative Pulsar Cluster using the licensed StreamNative Operator. Click Enroll Now to view next available dates.