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Welcome to Linkurious administration manual v4.1.9. Use the menu to access other documentations.
  1. Introduction
  2. FAQ
  3. Getting started
    1. Version support policy
    2. Release notes
    3. Client requirements
    4. Graph DB Feature Map
  4. Deploying on premise
    1. Technical requirements
    2. Downloading
    3. Installing
    4. Starting Linkurious
    5. Stopping Linkurious
  5. Configuring
  6. Troubleshooting
    1. Checking Linkurious status
    2. Reading the logs
    3. Getting support
    4. Managing licenses
    5. Vulnerabilities
  7. Importing graph data
    1. Neo4j
    2. Memgraph
    3. Amazon Neptune
    4. Cosmos DB
    5. Updating your graph data
  8. Updating Linkurious
    1. Checking for updates
    2. Backing up your data
    3. Update procedure
  9. Configuring data-sources
    1. Neo4j
    2. Amazon Neptune
    3. Memgraph
    4. Cosmos DB
    5. Alternative IDs
    6. Merging data-sources
    7. Advanced settings
  10. Resource management
    1. Managing spaces
    2. Managing tags
  11. Search index
    1. Search Option Comparison
    2. Neo4j Search
    3. Elasticsearch
    4. OpenSearch for Amazon Neptune
    5. Azure Search
    6. Incremental Indexing
    7. Numerical/Date search
  12. User-data store
    1. Migrating to an external database
    2. Backing-up your store
  13. Web server
  14. Authentication
    1. Getting started
    2. LDAP / Active Directory
    3. SSO with Azure AD
    4. SSO with Google
    5. SSO with OpenID Connect
    6. SSO with SAML2 / ADFS
    7. Configuration
  15. Access control
    1. Managing users
    2. Managing groups
    3. Standard access-rights
    4. Property-key access-rights
  16. Guest mode
    1. Guest mode
  17. Data Schema
    1. Property types
    2. Hiding data
    3. Strict mode
  18. Alerts
    1. Configuration
  19. Email Notifications
    1. Configuration
  20. Visualizations appearance
    1. Default styles
    2. Default captions
    3. Default properties order
    4. Geographic tiles
  21. Audit trail
    1. Log format
  22. Webhooks
  23. Observability
  24. Plugins
  25. Deep link
 

Importing graph data: Neo4j

To import data into Neo4j, you have a number of solutions depending on your needs.

"I need to import a large dataset"

If your data is static:

  • You can use the Neo4j ETL tool to take your data from a relational database or table format and import it to Neo4j.
  • You can also use the Neo4j Load CSV functionality if your data is in CSV format, and you feel comfortable writing Cypher queries.

If you are streaming data, you can use Neo4j Streams Kafka Integration to ingest any kind of Kafka event into your graph.

"I want to load data from a smaller file"

For simple CSV files, to get you quickly up and running, you can use the official Linkurious CSV importer plugin to import data directly through Linkurious Enterprise. The plugin provides a simple user interface to upload CSV files and easily define relationships.

If you are using spreadsheets, you can easily transform the data within to Cypher queries with this tutorial.

Finally, If your data is in JSON format, you could use the
load JSON functionality from APOC

"I want to play with sample data"

By default, a pre-loaded movie database is available in Neo4j Desktop.

You can also get started with Neo4j Sandbox and launch a free Neo4j online instance with an example dataset

"It’s complicated"

If you are still not sure, or your data import needs are more complex, or if you need to get help from professionals, contact us and we will be happy to answer your questions.