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DATABEND SOLUTIONS · CAPABILITY

Data pipelines

Less plumbing. More reusable data.

Synchronize MySQL, ingest S3 files, and orchestrate incremental SQL workflows inside Databend Cloud. Keep processing and monitoring close to the data.

From source changes to serving tables

Connect sources with Data Integration, track changes with Streams, and chain cleaning, modeling, and validation in Task Flow.

Architecture: From Source Changes to Versioned SQL Workflows

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Architecture: From Source Changes to Versioned SQL WorkflowsData Integration synchronizes MySQL and ingests S3 files into raw tables. Streams track new changes. A Task Flow dependency graph cleans, models, aggregates, and validates the data before publishing serving tables. Version history applies to workflow definitions.DATA SOURCESDATA APPLICATIONSMySQLSnapshot + CDCS3 filesContinuous file arrivalData IntegrationSource + integration taskFull / incremental syncraw_tablesSource records + metadataIngest once, model with SQLStreamsTrack unconsumed changesStream-triggered TasksTask FlowClean → model → aggregateDependencies + quality checksserving_tablesValidated analytical modelsReusable downstream dataReportingBI datasetsData qualitySQL analysisVisual DAG · Execution status · SQL version historyIncremental processing · Isolated compute

Connect operational sources

Configure MySQL full or incremental synchronization and S3 ingestion through Data Integration.

Transform incrementally

Use Streams and dependent SQL Tasks to process new data and refresh downstream models.

See and version the workflow

Inspect task status, compare published SQL definitions, and revert workflow changes.

Explore the details

Bring pipelines closer to the data

Connect a source and build your first incremental SQL workflow.

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