Etl Framework
Showing 7 of 7 projects
A server-side data processing pipeline that ingests, transforms, and ships logs and events from multiple sources.
An ultra-performant data transformation framework for AI, with incremental processing and data lineage built-in.
Open-source data pipelines to sync cloud infrastructure metadata from AWS, Azure, GCP, and 70+ sources into your data warehouse.
Open-source data pipelines for cloud asset inventory, CSPM, FinOps, and vulnerability management across AWS, Azure, GCP, and 70+ sources.
A lightweight Python library for creating portable, expressive, and testable data transformation DAGs with built-in lineage and metadata.
A Python library for defining portable, modular, and testable data transformation DAGs with built-in lineage and metadata.
A distributed data integration framework for big data ecosystems, handling ingestion, replication, organization, and lifecycle management for both streaming and batch data.
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