.svg)
How does it work
Effortless Conversion from Topics to Tables
Seamlessly transform Pulsar or Kafka topics into Open Lakehouse tables (Delta Lake or Iceberg) for easy integration into your data ecosystem, enhancing data management and accessibility.
Extend Data Streaming to Data Lakehouse
Leverage built-in multi-tenant data governance and serverless Pulsar Functions to clean, process, or enrich data streams so that only high-quality data lands in your lakehouses.
Leverage Open Lakehouse Formats with a Broader Data Ecosystem
Expand possibilities with collaborative lakehouse integrations and expertise to feed your real-time data into any data lakehouse of your choice, using any processing and query engines of your choice to query the data.
Benefits
Cost Reduction
Lower the overall cost of your data ingestion pipeline by utilizing ONE single platform that eliminates the need for custom integrations between data streams and data lakehouses.
Fewer moving parts, Less errors
Streaming transformation, data curation, and data quality control are executed instantly and only once in the data streams. ONE data contract, fewer moving parts, and fewer errors.
Faster Time to Market
Concentrate on developing new business logic rather than constructing repetitive ETL jobs. Offer the flexibility to select any programming language, or tools for streaming or batch consumption from data streams, enabling rapid experimentation and scaling.
Flexibility
Streams and Tables represent two facets of the same concept, enabling a best-of-breed approach that allows for the selection of the most effective and cost-efficient technology for each use case.