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  5. Linkurious vs SAS

Linkurious vs SAS

OverviewComparisonAlternatives

Overview

Linkurious
Linkurious
Stacks7
Followers30
Votes1
SAS
SAS
Stacks83
Followers89
Votes0

Linkurious vs SAS: What are the differences?

What is Linkurious? Search and visualize your graph data through a simple web-based interface. 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 SAS? A command-driven software package used for statistical analysis and data visualization. It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.

Linkurious and SAS can be primarily classified as "Business Intelligence" tools.

Some of the features offered by Linkurious are:

  • Dynamic visualization
  • full-text search
  • Highly customizable

On the other hand, SAS provides the following key features:

  • Analyses
  • Reporting
  • Data mining

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Detailed Comparison

Linkurious
Linkurious
SAS
SAS

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.

It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.

Dynamic visualization; full-text search;Highly customizable;Advanced analytics;Graph data editor;Collaborative analysis;Alerts and monitoring;User-rights management system
Analyses; Reporting; Data mining; Predictive modeling
Statistics
Stacks
7
Stacks
83
Followers
30
Followers
89
Votes
1
Votes
0
Pros & Cons
Pros
  • 1
    Highly customizable
No community feedback yet
Integrations
Neo4j
Neo4j
Titan
Titan
No integrations available

What are some alternatives to Linkurious, SAS?

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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