This open-source, serverless data ingestion and transformation platform ingests streaming data from sources, performs deduplication and stateful joins, and delivers clean, schema-aware events to a scalable analytics store. Key features include one-click deduplication with configurable primary keys, built-in lightweight state storage for low-latency processing, managed connectors, auto-scaling workers, late-event handling, dead-letter queues, and support for both schema-enabled and schemaless ingestion, addressing problems such as data duplication, heavy join costs, excessive load on the destination, and maintenance overhead, and it targets data engineers, developers, analytics teams, and organizations building real-time data pipelines.
GlassFlow can be found in Data Warehouse & Data Lake Platforms categories.
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