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DATABEND SOLUTIONS · USE CASE

Real-time analytics

From live events to business decisions

Ingest events and database changes, refresh metrics with Streams and Tasks, and query fresh data from independent SQL warehouses.

Ingest continuously. Query independently.

Land raw events, transform tracked changes, and serve fresh metrics without sharing ingestion compute.

Architecture: From Live Events to Fresh Business Metrics

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Architecture: From Live Events to Fresh Business MetricsApplication event files and MySQL changes enter Databend through S3 loading or database synchronization. Raw events feed a Stream; SQL Tasks merge new changes into metric tables. Independent warehouses serve dashboards and ad hoc analytics.DATA SOURCESDATA APPLICATIONSApp eventsFiles staged on S3MySQL dataSnapshot + CDCData ingestionS3 load / MySQL syncContinuous source updatesraw_eventsVARIANT + typed fieldsSource event historyStreamTrack table changesConsume new activitySQL TasksMERGE INTORefresh metric tablesbusiness_metricsFresh analytical modelsShared business dimensionsLive dashboardsProduct analyticsRevenue viewsAd hoc SQLShared object storage · Incremental SQLWorkload isolation · Auto-suspend

Process only the changes

Streams and Tasks refresh analytical tables without repeatedly scanning the full event history.

Keep event detail

Preserve evolving JSON in VARIANT and extract typed fields for frequent queries.

Isolate query workloads

Scale dashboards and exploratory queries independently of continuous ingestion.

Explore the details

Make decisions on fresh data

Test your complete ingestion-to-dashboard workflow in Databend Cloud.

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