Why We Built DataBridge​

If you've worked with data pipelines, you've probably dealt with the same frustrations we have: events arriving with missing fields, schema changes breaking downstream dashboards and hours spent debugging issues that turn out to be bad data.

The usual fix is to bolt on more tools - one for event tracking, another for schema validation, another for data quality checks. Each tool has its own config, its own dashboard and its own billing. Before long, maintaining the tooling becomes a job in itself.

DataBridge is our attempt to fix that. It's a single platform that handles event collection, schema validation, data transformation and data quality monitoring - from ingestion all the way to your warehouse.

What's in the Beta​

The closed beta includes:

• Event collection via our HTTP tracking API
• Schema registry with JSON Schema validation
• Data transformation using JavaScript functions (enrich, filter, mask PII)
• Delivery to PostgreSQL, ClickHouse and MySQL with automatic table creation
• Data quality monitoring for warehouse tables - profiling, checks and alerts
• Open source CLI - dbqctl is free to use for local and CI/CD workflows

What's Next​

We're working on expanding SDK support, adding more destinations and improving the monitoring dashboard based on feedback from beta users.

If you're interested in trying DataBridge, drop us a line at hi@databridge.tech or sign up at cloud.databridge.tech.