# Get Started with Tableflow in Confluent Cloud Confluent Tableflow enables you to expose Apache Kafka® topics as Apache Iceberg™ or Delta Lake tables, making your streaming data accessible to data lake analytics engines and query engines. You can store your materialized tables in your own cloud storage bucket or use Confluent Managed Storage. Choose a quick start based on your storage option and table format: - [Quick Start with Custom Storage](quick-start-custom-storage-glue.md#cloud-tableflow-quick-start): Use your own cloud storage bucket to store materialized tables. - [Quick Start with Delta Lake Tables](quick-start-delta-lake.md#cloud-tableflow-quick-start-delta-lake): Expose your Kafka topics as Delta Lake tables. - [Quick Start with Managed Storage](quick-start-managed-storage.md#cloud-tableflow-quick-start-managed-storage): Store materialized tables in Confluent Managed Storage, eliminating the need to configure your own storage bucket. ## Related content - [Query with AWS Analytics Services](../how-to-guides/query-engines/query-with-aws.md#cloud-tableflow-query-with-aws) - [Query with Flink](../how-to-guides/query-engines/query-with-flink.md#cloud-tableflow-query-with-flink) - [Query with Snowflake](../how-to-guides/query-engines/query-with-snowflake.md#cloud-tableflow-query-with-snowflake) - [Query with Trino](../how-to-guides/query-engines/query-with-trino.md#cloud-tableflow-query-with-trino)