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Welcome to Linkurious administration manual v4.0.27. 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
  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
 

Search index: Search Option Comparison

Choosing which full-text search engine to use for a specific graph vendor is not always obvious.

For each graph vendor, this page will help you list your options and compare their pros and cons.

Column names definitions

Feature Definition
Onboarding Does this search option require additional configuration, or can it be used out-of-the-box with the associated graph database?
Fast indexing How fast is indexing? 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

Search option Onboarding Fast indexing Automatic index sync Search scalability Advanced search
Embedded Elasticsearch Plug-and-play No No Will not scale beyond ~100M nodes Yes (requires configuration)
External Elasticsearch (v7+) Requires Elasticsearch installation and configuration No No Yes (by adding hardware to Elasticsearch cluster) Yes (requires configuration)
Neo4j Search (v4.0.2+) Plug-and-play Yes Yes Limited No
Elasticsearch Incremental Indexing Requires External Elasticsearch (versions compatible with Linkurious Enterprise) and Neo4j v4.0.2 and above Yes (except the first full indexing) Yes (requires configuration) Yes (by adding hardware to Elasticsearch cluster) Yes (requires configuration)

Amazon Neptune

Search option Onboarding Fast indexing Automatic index sync Search scalability Advanced search
Embedded Elasticsearch Plug-and-play No No Will not scale beyond ~100M nodes Yes (requires configuration)
External Elasticsearch (v7+) Requires Elasticsearch installation and configuration No No Yes (by adding hardware to Elasticsearch cluster) Yes (requires configuration)
OpenSearch for Amazon Neptune Requires configuration in Amazon Neptune & OpenSearch Yes Yes Yes (by adding resources in OpenSearch) No

Memgraph

Search option Onboarding Fast indexing Automatic index sync Search scalability Advanced search
Embedded Elasticsearch Plug-and-play No No Will not scale beyond ~100M nodes Yes (requires configuration)
External Elasticsearch (v7+) Requires Elasticsearch installation and configuration No No Yes (by adding hardware to Elasticsearch cluster) Yes (requires configuration)

Cosmos DB

Search option Onboarding Fast indexing Automatic index sync Search scalability Advanced search
AzureSearch Requires AzureSearch setup (easy) Yes Yes Yes No
Embedded Elasticsearch Plug-and-play No No Will not scale beyond ~1M nodes (missing backpressure) Yes (requires configuration)
External Elasticsearch (v7+) Requires Elasticsearch installation and configuration No No Will not scale beyond ~1M nodes (missing backpressure) Yes (requires configuration)