memgraph/memgraph-platformWARNING: This Docker image is deprecated as of version 2.15. We have transitioned to a multi-container Memgraph Platform, which utilizes separate containers for Memgraph+MAGE and Memgraph Lab, and is managed with Docker Compose.
For detailed setup instructions and best practices, please refer to the Docker Compose documentation for Memgraph Platform.
Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.
Memgraph directly connects to your streaming infrastructure, so you and your team don’t spend countless hours building and maintaining complex data pipelines. You can ingest data from sources like Kafka, SQL, or plain CSV files. Memgraph provides a standard interface to query your data with Cypher, a widely-used and declarative query language that is easy to write, understand and optimize for performance. This is achieved by using the property graph data model, which stores data in terms of objects, their attributes, and the relationships that connect them. This is a natural and effective way to model many real-world problems without relying on complex SQL schemas.
Memgraph is implemented in C/C++ and leverages an in-memory first architecture to ensure that you’re getting the best possible performance consistently and without surprises. It’s also ACID-compliant and highly available.
Memgraph Lab is a lightweight and intuitive visual user interface designed to help you with every stage of your graph development and learning process.
mgconsole is a command-line interface for Memgraph. In interactive mode, the user can enter Cypher queries and supported commands. Cypher queries can span through multiple lines and conclude with a semi-colon (;). Each query is executed in the database, and the results are printed out. mgconsole runs automatically when you start memgraph-platform.
Find out more about how to query Memgraph on our official documentation.
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