Graph Engine vs RedisGraph: What are the differences?
Developers describe Graph Engine as "RAM Store + Computation Engine + Graph Model (by Microsoft)". The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set. On the other hand, RedisGraph is detailed as "A High Performance In-Memory Graph Database as a Redis Module". RedisGraph is a graph database developed from scratch on top of Redis, using the new Redis Modules API to extend Redis with new commands and capabilities. Its main features include: - Simple, fast indexing and querying - Data stored in RAM, using memory-efficient custom data structures - On disk persistence - Tabular result sets - Simple and popular graph query language (Cypher) - Data Filtering, Aggregation and ordering.
Graph Engine and RedisGraph belong to "Graph Databases" category of the tech stack.
Graph Engine and RedisGraph are both open source tools. Graph Engine with 1.74K GitHub stars and 248 forks on GitHub appears to be more popular than RedisGraph with 695 GitHub stars and 65 GitHub forks.