Memgraph

Key features

• In-memory Cypher engine The whole graph lives in RAM and is queried with Cypher through an openCypher-compatible engine, so multi-hop traversals return without disk seeks while transactions stay fully ACID.[1][2]

• Streaming ingestion Connectors for Kafka, Redpanda, and Pulsar feed the database continuously, and queries reflect new data as it arrives rather than on the next batch load.[1][2]

• MAGE algorithm library A ready-made collection of graph algorithms and modules covers pathfinding, centrality, community detection, and similar analyses without hand-rolled procedures.[1]

• Python and C++ query modules Custom logic can run inside the database as Python or C++ modules, keeping domain-specific computation close to the data, and GQLAlchemy maps Python objects to graph records.[1][2]

• Drivers for nine languages Official Bolt drivers exist for Python, JavaScript, Java, Go, C#, C++, PHP, Ruby, and Rust, and the mgconsole command-line tool covers administration and scripting.[1]

• Memgraph Lab explorer A visual interface explores schemas, runs queries, and monitors data streams, giving developers a way to inspect the live graph and what flows into it.[1]

• Enterprise high availability and security The paid tiers add replication, role-based access control, SSO with LDAP, audit logs, multi-tenancy, and an extensible auth module for production operations.[1]

• Docker, Kubernetes, and Cloud deployment The database ships as Docker images, Compose files, Kubernetes manifests, and Debian packages for x86 and ARM, with Memgraph Cloud offering free and Pro hosted tiers and documented migration guides from Neo4j, including AuraDB.[1][2][3][4]

Who will love it

• Fraud and risk teams Transaction graphs update continuously, and streaming Cypher queries flag suspicious rings and patterns while the money is still moving.[1][2]

• Product teams serving live recommendations Catalogue and behaviour graphs change with every event, and in-memory traversal keeps suggestions current without a batch pipeline.[1][2]

• Developers wiring memory into AI agents LangChain and LlamaIndex integrations plus Cypher retrieval give agents a structured, queryable picture of entities and their links.[1][2]

Who should avoid it

• Teams requiring a permissive open-source licence The engine ships under the Business Source License 1.1, a source-available licence, not an OSI-approved open-source licence.[1]

• Buyers needing published Enterprise prices Enterprise and Platinum pricing is quote-only, and Cloud resource caps on the free tier are unpublished, so budgeting needs a sales conversation.[1]

• Teams wanting a fully managed database service The managed DBaaS is listed as coming soon, so hands-off operations with public regions and SLAs are not on offer yet.[1]

Platforms, durability, and migration