This is the Linux app named Summingbird whose latest release can be downloaded as PerformanceBugFix,MemoryPlatformduplicateexecutionfixsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Summingbird
DESCRIPTION
Summingbird is a project from Twitter for unifying batch and real-time data processing in a single framework. It allows developers to write “MapReduce-style” pipelines in Scala that can run on multiple underlying execution platforms (like Storm or Scalding), enabling code reuse between streaming and batch processing. It supports hybrid flows, real-time updates, and batch historical computation from the same logic. It was designed to simplify building production systems that require both low-latency and batch aggregation, combining Storm (real-time) and Scalding or Hadoop (batch) modes. The project is archived now.
Features
- Unified API so the same pipeline code can be executed in streaming mode (Storm) or batch mode (Scalding/Hadoop) depending on deployment.
- Fault tolerance and scalability inherited from the underlying platforms (Storm, Scalding) for handling large data volumes.
- Support for real-time updates (streaming sources) and batch historical processing in one system.
- Ability to combine online (streaming) and offline computing for features like iterative computation or feedback loops.
- Integration with external stores (e.g. Memcached etc) for intermediate state / aggregation.
- Modular architecture with separate modules for streaming vs batch, examples / clients, ability to run locally or in cluster mode.
Programming Language
Scala
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/summingbird.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
