Product · Data Engineering

ETL, orchestration, and pipelines on a single engine.

Build, schedule, and monitor data pipelines visually or in code — with native CDC, streaming joins, and the same engine that powers your warehouse and AI workloads, eliminating the cost and complexity of stitching tools together.

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Pipeline Throughput: 4.2 GB/s
schema

Visual + Code

Drag-and-drop pipeline builder for analysts, native SQL/Python/Scala for engineers — the same execution graph runs both.

sync

Streaming + Batch

Unified compute for real-time CDC, micro-batch, and overnight backfills. One pipeline, one set of metrics, one bill.

monitoring

Built-in Observability

Per-task lineage, data-quality assertions, and SLA tracking — alerts fire before downstream dashboards go stale.

240+
Connectors
4.2 GB/s
Stream Throughput
Unlimited
Pipeline DAGs
Per-task
SLA Tracking

From source to production, on one engine.

Stop paying three vendors for ingestion, transformation, and orchestration. Genedata Data Engineering covers the full lifecycle — and because it's the same engine running your warehouse and AI, your pipelines never leave the platform.

Pipeline Reference

Connector catalog, transformation API, and operational runbook for production pipelines.

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