Memgraph is an open source graph database built for teams who expect highly performant, advanced analytical insights - as compatible with your current infrastructure as Neo4j (but up to 120x faster).
Never write an overly complex SQL join or query again - making better decisions is easier when you can visualize your problem through an intuitive property graph data model and easily update it any time.
Memgraph allows you to stay agile and confidently add new data to enrich your arsenal without waste or losing important context in the noise.
Leverage Memgraph’s in-memory first storage to accommodate high volumes of streaming data and deliver lightning-fast results for both transactional and analytical workloads. ACID compliant and fully persistent on-disk so you don’t have to worry about losing your data.
Immerse yourself in your data through Memgraph’s ecosystem. Connect to your database instance with a wide range of drivers or WebSocket. There is no need to compromise on your favorite programming language.
- Fortune 500 Chemical Company
Connect to Kafka, Pulsar or Redpanda streams with built-in stream connectors to ingest data and analyze it with a powerful in-memory graph database engine.
Write simple Cypher queries, run a graph algorithm from Memgraph’s open-source MAGE library or write your own modules in C++ or Python.
Traverse the data to find patterns and insights, regardless of the number of necessary hops and visualize the graph in Memgraph Lab.
The only graph data platform created for analyzing streams. All the tools you need in a single, open-source platform.
download memgraphThe easiest way to run graph algorithms on streaming data. Hosted and fully-managed service. No admin.
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