--- title: Introducing Data Integration on Databend Cloud:... description: Databend Cloud launched a built-in Data Integration module offering zero-code visual pipelines for MySQL (via Binlog-based CDC) and Amazon S3 file ingestion.... canonical: https://daily.dev/posts/introducing-data-integration-on-databend-cloud-real-time-mysql-sync-and-s3-ingestion-no-code-requ-uwzftbssv twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Introducing Data Integration on Databend Cloud: Real-Time MySQL Sync and S3 Ingestion — No Code Required | daily.dev og:description: Databend Cloud launched a built-in Data Integration module offering zero-code visual pipelines for MySQL (via Binlog-based CDC) and Amazon S3 file ingestion.... og:url: https://daily.dev/posts/introducing-data-integration-on-databend-cloud-real-time-mysql-sync-and-s3-ingestion-no-code-requ-uwzftbssv og:image: https://api.daily.dev/og/posts/UWZFTbSSv.png og:image:alt: Introducing Data Integration on Databend Cloud: Real-Time MySQL Sync and S3 Ingestion — No Code Required og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Introducing Data Integration on Databend Cloud: Real-Time MySQL Sync and S3 Ingestion — No Code Required **[Databend Blog](https://daily.dev/sources/databend)** · 7 min read · 0 upvotes · 0 comments ## Summary Databend Cloud launched a built-in Data Integration module offering zero-code visual pipelines for MySQL (via Binlog-based CDC) and Amazon S3 file ingestion. It replaces tools like Debezium, Flink CDC, and manual COPY INTO scripts with a three-step setup: configure source, preview data, and set target table. MySQL sync supports Snapshot, CDC Only, and Snapshot+CDC modes with checkpoint recovery and delete propagation controls. S3 ingestion supports CSV, Parquet, and NDJSON with wildcard file matching, continuous polling every 30 seconds, and automatic cleanup of processed files. PostgreSQL and Kafka sources are planned next. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How can I set up real-time MySQL CDC sync into Databend without using Debezium or Flink CDC? Databend Cloud's Data Integration module provides a built-in, no-code CDC option that listens directly to the MySQL Binlog. You configure a data source, choose the 'Snapshot + CDC' mode for a full initial load followed by continuous change capture, preview sample data, and map it to a target table, all through a visual interface in three steps. _Developers weighing managed CDC options over Debezium or Flink often compare release notes like this on daily.dev._ ### What sync modes are available for MySQL integration in Databend Cloud's Data Integration feature? Three modes are available: Snapshot, which performs a one-time full read and then stops; CDC Only, which continuously listens to the MySQL Binlog for INSERT, UPDATE, and DELETE events; and Snapshot + CDC, the recommended mode for production, which runs a full snapshot first and then transitions seamlessly into continuous CDC sync. _Teams deciding between full-refresh and streaming sync strategies track feature comparisons like this on daily.dev._ ### How does continuous S3 file ingestion work in Databend Cloud? Databend Cloud's S3 integration polls a specified S3 path every 30 seconds by default and automatically imports new matching files in CSV, Parquet, or NDJSON format, using wildcard patterns for multi-file matching. Options include aborting or continuing on row errors, auto-deleting source files after import, and allowing duplicate re-imports for reloading after schema changes. _Engineers automating log or file-based ingestion pipelines follow product updates like this on daily.dev._ ## Similar posts on daily.dev - [Building Kafka-Less Data Integration Pipelines with Debezium](https://daily.dev/posts/building-kafka-less-data-integration-pipelines-with-debezium-5yi0fimdi) · Debezium · 1 upvotes · 0 comments - [Amazon Quick now supports S3 tables bucket as a data source](https://daily.dev/posts/amazon-quick-now-supports-s3-tables-bucket-as-a-data-source-awsjs4sqe) · AWS · 0 upvotes · 0 comments - [Unlocking real-time analytics: Streaming Aurora DSQL changes into Apache Iceberg](https://daily.dev/posts/unlocking-real-time-analytics-streaming-aurora-dsql-changes-into-apache-iceberg-ntedgboh3) · AWS Database Blog · 0 upvotes · 0 comments - [From Kafka to Databend Cloud: Engineering a Trillion-Scale Agent Trace Ingestion Pipeline](https://daily.dev/posts/from-kafka-to-databend-cloud-engineering-a-trillion-scale-agent-trace-ingestion-pipeline-4qtnulddc) · Databend Blog · 1 upvotes · 0 comments --- Tags: [#mysql](https://daily.dev/tags/mysql), [#aws-s3](https://daily.dev/tags/aws-s3), [#change-data-capture](https://daily.dev/tags/change-data-capture) [View this post on daily.dev](https://daily.dev/posts/introducing-data-integration-on-databend-cloud-real-time-mysql-sync-and-s3-ingestion-no-code-requ-uwzftbssv) ```json 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