Platform / All Data Transport Types

Every Data Transport Pattern. One Platform.

Data moves in different ways for different reasons. Dataddo supports the full spectrum of data transport paradigms, so you never need a separate tool just because the delivery pattern changed.

Every pattern, one platform

Microsecond Latency or Scheduled Batch - Handled Natively

From classic ETL/ELT to real-time CDC and zero-copy Arrow - all transport patterns in one platform, governed identically.

ETL & ELT

ETL & ELT

Classic extract-transform-load, or load-first with in-warehouse transformation.

Change Data Capture (CDC)

Change Data Capture (CDC)

Real-time, low-latency replication that tracks row-level changes as they happen.

Data Streaming

Data Streaming

Continuous, event-driven pipelines for time-sensitive and AI-ready data workloads.

Reverse ETL

Reverse ETL

Activate your data: push curated, governed records from your AI agents or warehouse back into CRMs, operational systems, and the frontier apps where your teams act on it.

Batch File Delivery

Batch File Delivery

Structured delivery of datasets via files to S3, SFTP, or any storage target.

Zero-Copy with Apache Arrow

Zero-Copy with Apache Arrow

High-performance, in-memory data sharing without serialization overhead, purpose-built for AI and analytics pipelines.

Most teams run three tools to cover ETL, CDC, and streaming.

Dataddo covers all of it - plus Reverse ETL, batch delivery, and zero-copy Arrow - on one governed platform. A new use case never means a new tool.

Find the Right Transport Pattern

Not sure which movement pattern fits your use case? Talk to one of our solutions engineers.