Overview
Memgraph is an in-memory graph database that excels at:
- Real-time performance: In-memory architecture delivers millisecond query response times
- Cypher compatibility: Full support for the Cypher query language (Neo4j compatible)
- Streaming analytics: Native support for real-time data streaming with Kafka and Pulsar
- ACID compliance: Full transactional support for data integrity
- Low latency: Optimized for high-throughput, low-latency graph operations
Memgraph is commonly used for real-time fraud detection, recommendation engines, network analysis, knowledge graphs, and any application requiring fast graph traversals on live data.
Connecting
To connect to Memgraph in DBCode:
- Open the DBCode Extension: Launch Visual Studio Code and open the DBCode extension.
- Add a New Connection: Click on the “Add Connection” icon.
- Complete connection form: Select Memgraph as the database type and enter:
- Host address (default port: 7687 for Bolt protocol)
- Username and password
- Database name (optional)
- Optional SSL/TLS configuration
- Connect: Click save to connect to your Memgraph database.
- Start Managing Your Data: Once connected, begin exploring your graph data.
For detailed instructions on connecting to Memgraph, refer to the Connect article.
Memgraph Features in DBCode
DBCode enhances your Memgraph development experience with:
- Cypher query execution: Write and execute Cypher queries with syntax highlighting
- Node and relationship browsing: Explore your graph structure
- Label navigation: Browse nodes organized by their labels
- Property inspection: View and edit node and relationship properties
By using Memgraph with DBCode, you can leverage the speed of in-memory graph processing while working within your familiar VS Code environment.
For more information about Memgraph, check out Memgraph.