Morpheus combines SparkSQL and Cypher queries, and table/graph functions. Choose the right language for the job: eliminate cumbersome multi-joins for connected-data traversals by using super-concise Cypher patterns for sub-graph detection and graph projection; use the power of table projection, grouping, aggregation in SparkSQL, all in one application. Feel free to “dismantle your graph”: expose your graph nodes or relationships as dataframes, or as Hive tables.
- Graph technology meets Big Data and Spark Analytics
- Property graphs: the superset data model
- Graph, relational and document data, interwoven
- Lift, split, combine, and create new graphs, from any data source
- Get your data fit to exploit graph compute, without losing any of your existing tools
