Hi Timon,

Adding to the answer of Ted, I can imagine that your new data enter your pipeline from a Kafka queue. With a microbatching solution, e.g. Apache Spark streaming, you could pre-shuffle your data per microbatch to be sure that all data relating to a branch are in a single partition. After that, a single thread can handle this single partition in one JanusGraph transaction. This approach seems fit better to your use case that trying to circumvent ACID limits in a tricky way.

Best wishes,    Marc