Extending Polypheny’s Graph Processing Capabilities for LDBC SNB Workloads (Master Project, Ongoing)
Description
Currently, Polypheny’s graph data ingestion path relies on per-record insertion through its regular query processor, which becomes a bottleneck for benchmark-scale workloads such as the LDBC Social Network Benchmark (SNB). This project addresses these limitations by designing and implementing a batch-ingestion interface for graph adapters, with Neo4j as the required initial backend.
Start / End Dates
2026/08/20 - 2027/01/31