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Awesome GitHub RepositoriesHigh-Throughput Ingestion Pipelines
Systems designed to ingest massive volumes of data with minimal latency.
Distinguishing note: Focuses on ingestion performance, distinct from general data processing frameworks.
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Awesome High-Throughput Ingestion Pipelines GitHub Repositories
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- taosdata/TDengine
taosdata/TDengine
24,734View on GitHubTDengine is a distributed time-series database designed for the high-speed ingestion, compression, and retrieval of timestamped metrics and sensor data. It functions as a SQL-compatible analytics engine, allowing users to perform complex operations on massive volumes of time-ordered information using standard relational syntax. The platform is built to serve as a backend foundation for industrial IoT environments, managing real-time data streams and device metadata through a cluster-based architecture. The system distinguishes itself through a distributed sharding architecture that uses consi
Streams large volumes of information using automated batching and sharding to maximize throughput.
Cbigdatacloud-nativecluster
