Memgraph

Founded by Dominik Tomicevic in 2016

Store and query graph data with in-memory processing

Cost

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Memgraph to build high-performance graph databases that store connected data in memory for fast queries. It handles real-time analytics, fraud detection, knowledge graphs, and AI applications. The database supports Cypher query language and integrates with Python libraries. You can analyze relationships between entities, track data lineage, manage complex permissions, and build recommendation systems. It's compatible with Neo4j and handles millions of transactions per second with sub-millisecond response times.

What Memgraph does

Query connected data using Cypher languageImport data from CSV, JSON, and SQL sourcesRun graph algorithms on large datasetsBuild real-time analytics dashboardsMigrate existing Neo4j databasesIntegrate with Python machine learning workflowsSet up multi-tenant graph databasesCreate custom graph visualization interfacesIn-memory graph processing for sub-millisecond queriesNeo4j compatibility with Cypher query languageHandles over 1,000 transactions per secondBuilt-in graph algorithms for analyticsPython client libraries and integrationsReal-time fraud detection capabilitiesACID compliance with data persistenceVector search combined with graph traversal