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GraphOne: A Data Store for Real-time Analytics on Evolving Graphs

Talkat FAST '19 · 2019-02-25..02-28· [databases, data-engineering]
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GraphOne is a graph datastore that combines edge list and adjacency list storage with dual versioning and a GraphView API that lets analytics choose visibility between fast log writes and indexed snapshots. It sustains ingestion near 43.7M edges/sec before archiving, reports 2–3 orders of magnitude faster ingestion than graph databases, 5.36x update rate and >3x better analytics than a leading dynamic system, and runs within ~47 GB after cacheline allocation optimizations while offering snapshot isolation via MVCC.

AI-written summary · about

  1. 0:00Intro
  2. 0:20Graph Applications: Big Data and Scientific Applications
  3. 1:45Definitions
  4. 5:24GraphOne: Background and Architecture
  5. 9:06Hybrid Store Details
  6. 13:08Hybrid Store: Optimizing the Archiving Phase
  7. 13:59Hybrid Store: Optimizing Memory Usage
  8. 16:19Results: Hybrid Store Composition and Ingestion Rate
  9. 18:08Results: Dynamic Graph Systems
  10. 19:04Results: Cost of Data Management Over Static Graph Engine
  11. 20:25GraphOne: Conclusion
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