Table of contents
Scalability
Apache Giraph is designed to run large-scale graph processing workloads on top of the Hadoop ecosystem, utilizing Hadoop's distributed processing capabilities to handle big data efficiently.
Fault Tolerance
Built on the Hadoop framework, Giraph benefits from Hadoop's fault tolerance features, ensuring that the system can recover from hardware failures seamlessly during processing.
Performance Optimization
Giraph optimizes graph processing through techniques such as message-combining, which reduces communication overhead, leading to improved performance on complex graph operations.
Open Source
As an Apache project, Giraph is open source, allowing developers to freely use, modify, and contribute to its codebase, fostering an active community and continuous improvement.
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Check the traffic stats of Apache Giraph on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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The latest comments about Apache Giraph on Reddit. This can help you find out how popualr the product is and what people think about it.
Giraph is an iterative graph processing framework, built on top of Apache Hadoop. - Source: dev.to / over 2 years ago
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Is Apache Giraph good? This is an informative page that will help you find out. Moreover, you can review and discuss Apache Giraph here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
