Ingest streaming data or import static data and create rich data models. Querying data in real time enables you to build responsive applications.
Migrate from SQL, import data from streaming infrastructures like Apache Kafka, Redpanda and Pulsar, or import data from CSV and JSON files. Memgraph is also ideal for detecting and applying changes to data using Change Data Capture.
Intuitively map complex and interconnected data, then enrich it by adding labels and properties to nodes and relationships.
Use Cypher, the standard in query language for property graph databases, to query your data and benefit from dozens of open-source graph algorithms.
Establish communication between your application and Memgraph database instance using the language you feel most comfortable with.
In-memory database with built-in streaming connectors. Supports on-disk storage when needed. Memgraph directly connects to your streaming infrastructure and reduces the complexity of your data analysis pipelines.
Visualize graphs, execute ad hoc queries, and optimize performance on data stored in Memgraph. Memgraph Lab is a visual user interface that helps you explore and manipulate the data stored in Memgraph.
An open-source library that contains graph algorithms in the form of query modules you can use right away with Memgraph.
Query graph data with Python by using GQLAlchemy, an object graph mapper and Memgraph client that integrates into your existing Python infrastructure.
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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