Gradoop
An open-source research framework for distributed temporal graph analytics built on Apache Flink.
What is Gradoop?
Gradoop is an open-source research framework for distributed graph analytics built on Apache Flink. It provides an extended property graph model with logical graphs and operators for declarative graph analysis workflows. The framework enables scalable processing of temporal and large-scale graph data in distributed environments.
Researchers and data engineers working on large-scale graph analytics, temporal graph analysis, and distributed data processing who need flexible, declarative graph operators integrated with Apache Flink.
Gradoop offers a unique combination of logical graph abstraction, temporal graph support, and seamless integration with Apache Flink's dataflow ecosystem, enabling complex analytical workflows that scale across distributed clusters.
Overview
Distributed Temporal Graph Analytics with Apache Flink
Use Cases
Best For
- Analyzing temporal evolution patterns in large-scale graphs
- Building declarative graph analytics workflows with logical graph operators
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