awesome-repositories.com
博客
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目关于排名机制媒体报道MCP 服务器
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
apache avatar

apache/samza

0
View on GitHub↗
842 星标·332 分支·Java·Apache-2.0·3 次浏览

Samza

Mirror of Apache Samza

Features

  • Stream Processing - Provides distributed stream processing with fault tolerance.
  • Streaming Engines - Distributed framework built on Kafka and YARN.

Star 历史

apache/samza 的 Star 历史图表apache/samza 的 Star 历史图表

AI 搜索

探索更多 awesome 仓库

用简单的语言描述您的需求 —— AI 将根据相关性为您从数千个精选开源项目中进行排序。

Start searching with AI

Samza 的开源替代方案

相似的开源项目,按与 Samza 的功能重合度排序。
  • apache/sparkapache 的头像

    apache/spark

    43,467在 GitHub 上查看↗

    Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e

    Scalabig-datajavajdbc
    在 GitHub 上查看↗43,467
  • bytewax/bytewaxbytewax 的头像

    bytewax/bytewax

    2,022在 GitHub 上查看↗

    Python Stream Processing

    Python
    在 GitHub 上查看↗2,022
  • apache/flinkapache 的头像

    apache/flink

    26,086在 GitHub 上查看↗

    Apache 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
    在 GitHub 上查看↗26,086
  • cocoindex-io/cocoindexcocoindex-io 的头像

    cocoindex-io/cocoindex

    6,117在 GitHub 上查看↗

    Cocoindex is an incremental data processing engine that builds and maintains live indexes for AI agents, with a core focus on codebase indexing and knowledge graph extraction. The engine uses a function-graph execution model where user-defined Python functions are composed into a directed acyclic graph, and it processes data incrementally so only changed source records or code paths are re-computed, avoiding full recomputation at any scale. It supports automatic schema inference from transformation pipeline type annotations and provides full data lineage tracing, tagging every output record wi

    Rustagentic-data-frameworkaiai-agents
    在 GitHub 上查看↗6,117
查看 Samza 的所有 30 个替代方案→

常见问题解答

apache/samza 是做什么的?

Mirror of Apache Samza

apache/samza 的主要功能有哪些?

apache/samza 的主要功能包括:Stream Processing, Streaming Engines。

apache/samza 有哪些开源替代品?

apache/samza 的开源替代品包括: cocoindex-io/cocoindex — Cocoindex is an incremental data processing engine that builds and maintains live indexes for AI agents, with a core… emqx/kuiper — Lightweight data stream processing engine for IoT edge. apache/spark — Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation… bytewax/bytewax — Python Stream Processing. apache/flink — Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite… hstreamdb/hstream — HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for…