DataConnect Hub

Multi-source data connector and incremental synchronization pipeline

Product category: ETL/ELT data collection

Applicable platforms: Linux/Win/macOS, Docker, K8s

Technical affiliation: Data Engineering, CDC

Programming language affiliation: Python, Go, SQL

Tags: #DataIngestion #ETL Product

Type: ETL/ELT data collection

DataConnect Hub unifies encapsulation of JDBC/ODBC, object storage, REST/Webhook, MQ (Kafka/Pulsar) and other input channels, providing full import, incremental CDC, and streaming access modes, with breakpoint resumption, idempotent writing, throughput throttling, Schema evolution, and audit log capabilities. It optimizes timestamp alignment and out-of-order tolerance for time series projects; supports multi-channel landing of original files and metadata for multimodal projects; provides high-frequency track replay cache and event annotation channel for decision/RL projects. YAML low-code configuration can assemble data zipper pipelines, deploy to K8s for elastic scaling, with accompanying observable indicators (latency, packet loss, replay ratio). It turns "connecting data" into replicable engineering assets, avoiding maintenance black holes caused by scattered collection scripts.

Delivery method: Instant digital download after purchase
License: Single-user commercial license
Usage limit: One-time use
Support: Technical documentation provided in the delivery file; no human technical support included