Graph Databases

Kenelyze can seamlessly import, search and visualize data from leading graph databases including Memgraph, Neo4j, AnzoGraph and ONgDB.

As opposed to traditional databases, graph databases store data as nodes and the relationships between them. This is a perfect fit for storing connected data (or, data shaped as a network), as it allows very quick look-ups of network structures and enables flexible modeling of datasets as a set of interconnected entities from the outset.

Kenelyze is fully focused on allowing both non-technical and technical users to work with data in graph databases: visualizations can be made based on searches and node expansions, while it is also possible to input custom Cypher queries and visualize more advanced data structures:

🔎 Graph Database Search

Kenelyze can search all node labels and properties in graph databases and visualize search results on the fly.

➕ Node expansions

Expand and collapse nodes and their neighbors at will to quickly populate sub-graphs of interest.

💬 Custom Cypher queries

Advanced users can input custom Cypher queries and visualize the resulting nodes and relationships directly.

✏️ Data Editing

Nodes, relationships and properties in the database can be modified, added and removed directly from Kenelyze’s interface.

📊 Subgraph Metrics

Calculate graph and node-level metrics (e.g. community detection, node centrality measures) for any subgraph returned from the database.

📍 Graph Schemas

Quickly generate network schemas to view the exact structure of the data model in the database.

📁 Cypher Exports

Export any network created in Kenelyze (including those from local files) to Cypher queries to quickly populate graph databases with new data.