Multimodal ETL pipelines for structured, semi-structured, and unstructured data
Data Pipeline connects 50+ data sources with visual DAG orchestration and incremental sync. Ingest everything from database rows to PDFs and images through a single, unified pipeline framework.
Connect to databases, SaaS APIs, cloud storage, message queues, and file systems out of the box. Custom connectors via SDK for proprietary sources.
Design complex data flows with a drag-and-drop interface. Branch, merge, filter, and transform data with full dependency management and error handling.
Process structured tables alongside PDFs, Word documents, images, and audio files. Each modality gets purpose-built parsing and extraction.
Change data capture and incremental loading keep downstream systems current without costly full refreshes. Schema drift detection prevents silent failures.
Select from pre-built connectors or configure custom sources. Specify schemas, credentials, and sync modes in a unified interface.
Apply SQL transforms, Python scripts, or built-in functions through the visual DAG editor. Chain transformations across structured and unstructured data.
Set cron schedules, event triggers, or continuous streaming modes. The orchestrator handles retries, backpressure, and dependency resolution automatically.
Track throughput, latency, error rates, and data freshness in real time. Automated alerts flag pipeline issues before they reach downstream consumers.
One pipeline framework handles database tables and document files alike — no separate tools for different data types.
Visual DAG builder and pre-built connectors reduce pipeline creation from weeks of coding to hours of configuration.
Incremental sync and CDC ensure downstream systems reflect source changes within minutes, not hours.
Schema drift detection, automatic retries, and dead-letter queues keep data flowing even when sources change unexpectedly.
Data Pipeline runs on a distributed task execution engine that horizontally scales across workers. Each pipeline stage runs as an isolated task with checkpointing, enabling exactly-once semantics and automatic recovery from failures.
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Build multimodal pipelines that connect any source to any destination — structured or unstructured — in a single visual interface.