Read my review of Amazon Neptune. AnzoGraph is a massively parallel, in-memory OLAP graph database that works with enterprise data sources and does parallel data loads of RDF and CSV formats.

Second, the underlying structure is not optimized for graph operations. We don’t describe TigerGraph as an in-memory database, because having data in memory is a preference but not a requirement.

By deploying a highly distributed, massively parallel query engine based on in-memory processing of semantic data in smart graph databases, organizations can analyze whole data sets incorporating an ...

in-memory databases, key-value stores, search indices, and object stores. Until today’s unveiling of Neptune, there was no graph database. Amazon Neptune, which is currently in limited preview, gives ...

“The traversals are quick, and there are memory options to store data along the way.” There are two basic kinds of graph databases. Property graphs represent connected data by mapping nodes ...

That may not sound like a lot, until you have to buy the memory for a single node and chew against it. At hyperscalers, the graphs are a lot larger than this, and many web-based companies need graph ...

TigerGraph chose Neo4j because it's a native graph database and a market leader ... Hadoop's MapReduce parallelism for processing and in-memory, disk and compression techniques for storage.

Graph databases are increasingly using the Non-Volatile Memory Express (NVMe) standard for Solid State Drives (SSDs) to increase application performance and significantly reduce recovery elapsed ...