Data engineering teams spend 60-80% of their time on pipeline maintenance, data quality firefighting, and integration work. Expanso shifts data control upstream so your team can focus on what matters.
Your team is stuck maintaining instead of building
Schema changes break pipelines. Data sources go offline. Quality issues cascade downstream. Your team spends more time firefighting than building new capabilities.
Every new data source means weeks of connector development, testing, and deployment. Teams build custom integrations that become legacy systems overnight.
Quality issues discovered in production. Manual data profiling. Reactive fixes that don't address root causes. Teams play catch-up instead of getting ahead.
Process, validate, and govern data at the source - before it hits your pipelines
200+ production-ready connectors for databases, APIs, cloud services, and IoT platforms. Deploy in minutes, not weeks.
Data quality checks at origination. Schema validation, type checking, and business rules enforced before data moves.
Define transformations in YAML. Version control your pipelines. Deploy globally with one command.
Monitor pipeline health, data quality metrics, and throughput in real-time. Alerts before issues impact downstream.
Lightweight agents run at data sources - databases, applications, edge devices, cloud services.
Declare transformations, validations, and routing rules. Version control everything.
Data validated, transformed, and governed before it moves. Only clean data reaches your platforms.
Send processed data to Snowflake, Databricks, Kafka, S3, or any destination. One pipeline, many outputs.
See how data engineering teams accelerate delivery with upstream data control.