For developers that need superior performance while keeping higher levels of consistency and want to run graph analytics in real time with lots of transactions and high availability, read on!
Some projects simply cannot run efficiently on disk these days, especially the ones with lots of highly concurrent transactions. And even more speed is lost with Java.
Developers need High Availability. However, it is only offered with the Enterprise Licence which not everyone can afford.
Developers need flexibility and Java and GCP might not be everyone's cup of tea.
This benchmark compares Neo4j and Memgraph across a number of important categories when running graph analytics in real time: latency, throughput and memory usage.
Handling real-time, highly concurrent, write-heavy data transactions is what Memgraph is all about.
C++ in-memory architecture gives Memgraph a massive head start for any real-time graph analysis needed. Don't just take our word for it, check out the benchmark results and validate them for yourself!
High Availability is a major concern for developers. Through Memgraph's open source commitment, high availability is available to all developers through the Community Edition.
No need to fork out cash and the Enterprise licence to get an uninterrupted and continuous graph database system.
Memgraph is a natural drop-in replacement as it is Cypher-ready.
There are multiple drivers to connect to the DB and allowing you to write custom procedures in various languages (Python, C/C++).
Fire up your instance on-prem or on AWS Cloud with a two-week free trial.
This tutorial will teach you how to migrate from Neo4j to Memgraph by using an APOC procedure and Memgraph's LOAD CSV.