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Welcome to Linkurious administration manual v3.1.15. Use the menu to access other documentations.
  1. Introduction
  2. FAQ
  3. Getting started
    1. Release notes
    2. Client requirements
    3. Graph DB Feature Map
  4. Deploying on premise
    1. Technical requirements
    2. Downloading
    3. Installing
    4. Starting Linkurious
    5. Stopping Linkurious
  5. Deploying on Azure
    1. Pre-requisites
    2. Step-by-step deployment
    3. Updating
    4. Backing up your data
  6. Configuring
  7. Troubleshooting
    1. Checking Linkurious status
    2. Reading the logs
    3. Getting support
    4. Managing licenses
    5. Vulnerabilities
  8. Importing graph data
    1. Neo4j
    2. Cosmos db
    3. Updating your graph data
  9. Updating Linkurious
    1. Checking for updates
    2. Backing up your data
    3. Update procedure
  10. Configuring data-sources
    1. Neo4j
    2. Cosmos DB
    3. Alternative IDs
    4. Merging data-sources
    5. Advanced settings
  11. Search index
    1. Search Option Comparison
    2. Neo4j
    3. Azure search
    4. Configuring Elasticsearch
    5. Using Elasticsearch on AWS
    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. Plugins
  23. Deep link
 

Search index: Search Option Comparison

Feature Description
Onboarding Does this search option require additional configuration, or can it be used out-of-the-box with the associated graph database?
Fast indexation How fast is indexation? Note that this is a relative metric; while some search options may be faster than others, speed will depend on the complexity of your data model and your hardware limitations.
Automatic index sync Are changes made to the graph DB propagated to the index automatically?
Search scalability How well search queries perform for large graph databases? The actual upper limit on the performance of a given option will vary from vendor to vendor.
Advanced search If advanced search features are available, such as numerical and date range search operators.

Neo4j

Onboarding Fast indexation Automatic index sync Search scalability Advanced search
Embedded Elasticsearch Plug-and-play No No Won't scale beyond ~100M nodes Yes (requires configuration)
External Elasticsearch (v2+) Requires Elasticsearch installation and configuration No No Yes (by adding hardware to Elasticsearch cluster) Yes (requires configuration)
Neo4j Search (v3.5.1+) Requires configuration in Neo4j (properties to index must be specified) Yes Yes Limited No
Elasticsearch Incremental Indexing Requires External Elasticsearch (versions compatible with Linkurious Enterprise) and Neo4j v3.5.1 and above Yes (except the first full indexation) Yes (requires configuration) Yes (by adding hardware to Elasticsearch cluster) Yes (requires configuration)

Cosmos DB

Onboarding Fast indexation Automatic index sync Search scalability Advanced search
AzureSearch Requires AzureSearch setup (easy) Yes Yes Yes No
Embedded Elasticsearch Plug-and-play No No Won't scale beyond ~1M nodes (missing backpressure) Yes (requires configuration)
External Elasticsearch (v2+) Requires Elasticsearch installation and configuration No No Won't scale beyond ~1M nodes (missing backpressure) Yes (requires configuration)