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Projects sharing features with Elephant Bird
19 open-source projects similar to twitter/elephant-bird, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
- alibaba/jstorm
alibaba/jstorm
3,877View on GitHubjStorm is a distributed stream processing engine designed for executing low-latency computations on high-volume data streams using Apache Storm topologies. It functions as a real-time data analytics platform and distributed task orchestrator that manages complex data pipelines via directed acyclic graph execution. The system provides a scalable framework for data pipeline management, incorporating backpressure-aware flow control to regulate ingestion rates and dynamic resource allocation to adjust computing resources based on real-time demand. It maintains compatibility with Apache Storm conf
Java - apache/flink
apache/flink
26,086View on GitHubApache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite batch workloads. It functions as a stateful stream processor and a SQL stream processing engine, providing a unified runtime to execute relational queries and event-based transformations. The system is distinguished by its ability to manage persistent operator state to ensure exactly-once processing guarantees and consistency during failures. It features specialized capabilities for complex event processing to detect temporal patterns and handles out-of-order events using eve
Java - apache/hadoop
apache/hadoop
15,567View on GitHubHadoop is a big data infrastructure suite and distributed data processing framework designed to store and process massive datasets across clusters of computers. It consists of a distributed storage system for managing large files across multiple nodes and a parallel computing engine for processing data across a distributed cluster. The framework implements a distributed file system to ensure fault tolerance and high throughput, paired with a programming model that processes large datasets in parallel. It manages the underlying hardware and software environment required for distributed big dat
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