You can see below that GraphFrames is back! It has seen contributions every week for most of the year — we have half a dozen active contributors now. This release is due to the efforts of many people ...

Less than a month has passed since I celebrated 1M downloads of the `graphframes-py` package. Today, it has passed 2M downloads. I’m really happy to see these numbers. For me, they mean that more than ...

I have a simple PySpark structured streaming app that transforms incoming messages into a graph (using GraphFrames). A simplified example of the code is given below ...

Here's a roundup of this week's Big Data news featuring: an updated platform and new cadence cycle from Hortonworks; GraphFrames, a graph processing library for Apache Spark, from Databricks; the open ...

Graph data is prevalent in many domains, but it has usually required specialized engines to analyze. This design is onerous for users and precludes optimization across complete workflows. We present ...

This workspace benchmarks PageRank memory usage on the LiveJournal graph stored as CSR arrays in livejournal-csr.duckdb. GraphFrames also needs Java and Spark. The ...