DATABEND SOLUTIONS · USE CASE

Data warehousing

One data layer. Compute on your terms.

Analyze business tables and JSON events in an object-storage-native warehouse. Share data across teams while scaling each workload independently.

Shared SQL tables. Independent warehouses.

Load source data once, build reusable models with incremental SQL, and give each team its own query resources.

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Retain data on object storage and size compute for each analytical workload.

Join structured business tables and semi-structured events through one interface.

Use built-in loading, Streams, and Tasks instead of adding separate services for every SQL workflow.

S3-to-SQL analytics; POC completed in one afternoon.

MySQL/S3 loading, Streams, and scheduled SQL.

Evaluate your data, SQL, and concurrency requirements in Databend Cloud.