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Kafka-to-snowflake

Stream Data from Kafka to Snowflake Automatically

Deliver your data in real-time without all of the heavy maintenance.

Connect Kafka to Snowflake. No Workarounds Required.

StreamSets offers ease of use, reusability, cross platform support, and automatic drift detection.

Embrace a Single Experience for All Design Patterns

Our single, easy-to-use tool for all workloads (CDC, Streaming & Batch) requires minimal learning. And, makes scalability a reality with automated schema mapping, a drag-and-drop interface, and 60+ prebuilt processors to transform your data.

PostgreSQL To Snowflake Sync

Minimize Maintenance & Avoid Breakages

Smart data pipelines proactively address unforeseen changes. We call this data drift, those inevitable changes in schema, semantics, and infrastructure we all face. StreamSets’ patented data drift technology dramatically reduces reactive break-fix and maintenance efforts.

Kafka Data Formats

Trust Your Data

StreamSets architecture ensures that your data is handled securely and consistently. Operate and monitor all data pipelines in one place with zero data loss and full visibility across all environments: on-premise/self managed, hybrid, cloud and multi-cloud environments.

Data Operations

Our customers run millions of data pipelines using StreamSets

Streaming from Kafka to Snowflake Just Got a Lot Easier

Get your Kafka data into Snowflake in the format you need, in minutes, for free, with 100s of out-of-the-box connectors and processors.

StreamSets Monitor Data Pipeline Video Screenshot

Simplify Your Data Streams Between Kafka and Snowflake

Low Latency

Zero Data Loss

Low Maintenance

What Our Customers Say

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“By moving to the cloud with StreamSets and by leveraging their big data ecosystem, we can finally use all of our data and break down the silos we’ve struggled with in the past.”
Jean-Marie Bertoncelli, Big Data and Analytics Architect
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“DataOps makes my life easier. In short, data engineers don’t just do development, they can actively monitor and make continuous improvement changes to data pipelines.”
Jeffrey Jennings, Senior Data Strategy Architect, TalentFulfilled
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