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  1. Stackups
  2. Application & Data
  3. Graph Databases
  4. Graph Databases
  5. Linkurious vs Neo4j

Linkurious vs Neo4j

OverviewComparisonAlternatives

Overview

Neo4j
Neo4j
Stacks1.2K
Followers1.4K
Votes351
GitHub Stars15.3K
Forks2.5K
Linkurious
Linkurious
Stacks7
Followers30
Votes1

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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Detailed Comparison

Neo4j
Neo4j
Linkurious
Linkurious

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.

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.

intuitive, using a graph model for data representation;reliable, with full ACID transactions;durable and fast, using a custom disk-based, native storage engine;massively scalable, up to several billion nodes/relationships/properties;highly-available, when distributed across multiple machines;expressive, with a powerful, human readable graph query language;fast, with a powerful traversal framework for high-speed graph queries;embeddable, with a few small jars;simple, accessible by a convenient REST interface or an object-oriented Java API
Dynamic visualization; full-text search;Highly customizable;Advanced analytics;Graph data editor;Collaborative analysis;Alerts and monitoring;User-rights management system
Statistics
GitHub Stars
15.3K
GitHub Stars
-
GitHub Forks
2.5K
GitHub Forks
-
Stacks
1.2K
Stacks
7
Followers
1.4K
Followers
30
Votes
351
Votes
1
Pros & Cons
Pros
  • 69
    Cypher – graph query language
  • 61
    Great graphdb
  • 33
    Open source
  • 31
    Rest api
  • 27
    High-Performance Native API
Cons
  • 9
    Comparably slow
  • 4
    Can't store a vertex as JSON
  • 1
    Doesn't have a managed cloud service at low cost
Pros
  • 1
    Highly customizable
Integrations
No integrations available
Titan
Titan

What are some alternatives to Neo4j, Linkurious?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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