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Linkurious

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Linkurious vs Neo4j: What are the differences?

Key Differences between Linkurious and Neo4j

Linkurious and Neo4j are both powerful tools used for graph visualization and analysis. However, there are several key differences that set them apart from each other. These differences are outlined below:

  1. Data Storage and Management: Neo4j is a graph database management system that provides a robust infrastructure for storing and managing graph data. On the other hand, Linkurious is a visualization tool that works on top of Neo4j or other graph databases, allowing users to explore and analyze the data stored within the database.

  2. User Interface and Visualization: Linkurious offers a user-friendly interface with various interactive visualizations, making it easier for users to explore and analyze complex graph data. Neo4j, on the other hand, provides a more flexible and customizable visualization platform, allowing users to build their own visualizations using the Neo4j browser or other compatible tools.

  3. Collaboration and Data Sharing: Linkurious provides features for collaboration and data sharing, allowing multiple users to work together and share their insights. Neo4j, on the other hand, focuses more on data storage and management, and does not have built-in collaboration features. Users can, however, make use of Neo4j's APIs and integrations to build custom collaboration solutions.

  4. Querying and Analytics: Neo4j offers a powerful query language called Cypher, which allows users to perform complex graph queries and analytics. Linkurious, on the other hand, does not provide a dedicated query language but offers a user-friendly interface for exploring data and traversing the graph.

  5. Scalability and Performance: Neo4j is designed to handle large-scale graph datasets and provides various optimization techniques for improved performance. Linkurious, being a visualization tool, relies on the underlying graph database's scalability and performance capabilities. However, Linkurious also offers features like query optimization and result caching for improved performance.

  6. Customization and Extensibility: Neo4j provides a rich ecosystem of plugins, libraries, and APIs, allowing users to customize and extend its functionality as per their requirements. Linkurious, on the other hand, offers a more limited set of customization options, focusing primarily on providing a user-friendly interface for graph visualization.

In summary, Linkurious is a powerful graph visualization tool that works on top of Neo4j or other graph databases, providing a user-friendly interface for exploring and analyzing graph data. Neo4j, on the other hand, is a robust graph database management system that offers powerful querying capabilities and scalability.

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Pros of Linkurious
Pros of Neo4j
  • 1
    Highly customizable
  • 69
    Cypher – graph query language
  • 61
    Great graphdb
  • 33
    Open source
  • 31
    Rest api
  • 27
    High-Performance Native API
  • 23
    ACID
  • 21
    Easy setup
  • 17
    Great support
  • 11
    Clustering
  • 9
    Hot Backups
  • 8
    Great Web Admin UI
  • 7
    Powerful, flexible data model
  • 7
    Mature
  • 6
    Embeddable
  • 5
    Easy to Use and Model
  • 4
    Highly-available
  • 4
    Best Graphdb
  • 2
    It's awesome, I wanted to try it
  • 2
    Great onboarding process
  • 2
    Great query language and built in data browser
  • 2
    Used by Crunchbase

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Cons of Linkurious
Cons of Neo4j
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    • 9
      Comparably slow
    • 4
      Can't store a vertex as JSON
    • 1
      Doesn't have a managed cloud service at low cost

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    What is Linkurious?

    Graph databases like Neo4j make it easier, faster and more natural to work with connected data. With Linkurious, it is now easy to quickly explore that data using your web browser. Our one-click installer works with Linux, Mac and Windows. It automatically connects to your graph database, no configuration needed.

    What is Neo4j?

    Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

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