Apache Iceberg Archives

Apache Kafka and Snowflake Cost Efficiency and Data Governance

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10 minute read

Apache Kafka + Flink + Snowflake: Cost Efficient Analytics and Data Governance

ByKai Waehner
26. April 2024
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Snowflake is a leading cloud data warehouse and transitions into a data cloud that enables various use cases. The major drawback of this evolution is the significantly growing cost of the data processing. This blog post explores how data streaming with Apache Kafka and Apache Flink enables a “shift left architecture” where business teams can reduce cost, provide better data quality, and process data more efficiently. The real-time capabilities and unification of transactional and analytical workloads using Apache Iceberg’s open table format enable new use cases and a best of breed approach without a vendor lock-in and the choice of various analytical query engines like Dremio, Starburst, Databricks, Amazon Athena, Google BigQuery, or Apache Flink.

Snowflake with Apache Kafka and Iceberg Connector

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8 minute read

Snowflake Data Integration Options for Apache Kafka (including Iceberg)

ByKai Waehner
22. April 2024
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The integration between Apache Kafka and Snowflake is often cumbersome. Options include near real-time ingestion with a Kafka Connect connector, batch ingestion from large files, or leveraging a standard table format like Apache Iceberg. This blog post explores the alternatives and discusses its trade-offs. The end shows how data streaming helps with hybrid architectures where data needs to be ingested from the private data center into Snowflake in the public cloud.