Data Streaming
Showing 11 of 11 projects
A low-latency platform for change data capture (CDC) that streams row-level changes from databases to applications.
AutoMQ is a cloud-native, diskless Kafka alternative that uses S3 for storage, offering 10x cost savings, autoscaling in seconds, and single-digit ms latency.
A diskless Kafka alternative that runs on S3, offering 10x cost savings, autoscaling in seconds, and single-digit ms latency.
Deep Lake is a multimodal data lake and vector store optimized for AI, enabling scalable data management, retrieval, and training for LLM and deep learning applications.
A lightweight command-line tool for producing, consuming, and inspecting Apache Kafka messages, similar to netcat for Kafka.
A lean distributed data streaming engine and stream processing framework written in Rust for building responsive data-intensive applications.
A distributed data streaming engine with stateful stream processing for building responsive data-intensive applications.
A MySQL change data capture daemon that streams database changes as JSON to Kafka, Kinesis, and other platforms.
Apache Heron is a real-time, distributed, fault-tolerant stream processing engine developed by Twitter.
A curated list of awesome streaming frameworks, applications, readings, and resources for stream processing.
An open specification for streaming massive heterogeneous 3D geospatial datasets across desktop, web, and mobile applications.
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