Data management. Simplified.
Automate data operations with templates for developing data processing applications, ETL pipelines, and validation pipelines.
Watch how to manage data
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Templates for data management
ETL pipeline
Automate data processing workloads between sources.Trigger
Execute logic when creating, updating or deleting records.Validation pipeline
Process your data as it flows before storing it in entities.
ETL pipeline
Reliably process and move your data.
An ETL pipeline helps you build advanced data processing workloads and move your data between entities and external sources.
Watch how ETL pipelines work
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Trigger
Respond to changes in your data.
A database trigger helps you execute logic when creating, updating or deleting records. Useful for perfoming real-time operations as data changes.
Watch how triggers work
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Validation pipeline
Process your data before storing it.
A validation pipeline helps you convert, clean, and analyze your data before storing it. Useful for ensuring data integrity as data flows pre-storage.
Watch how validation pipelines work
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