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  5. Linkurious vs Power BI

Linkurious vs Power BI

OverviewDecisionsComparisonAlternatives

Overview

Linkurious
Linkurious
Stacks7
Followers30
Votes1
Power BI
Power BI
Stacks993
Followers946
Votes29

Linkurious vs Power BI: What are the differences?

Introduction:

When comparing Linkurious and Power BI, there are key differences that differentiate these two platforms in terms of their functionality and features.

  1. Data Visualization Capabilities: Linkurious is specialized in graph visualization, allowing users to explore and analyze interconnected data easily. On the other hand, Power BI offers a broader range of visualization options including charts, graphs, maps, and tables, making it more versatile for different types of data analysis needs.

  2. Data Connection and Integration: Linkurious focuses on integrating with graph databases like Neo4j, allowing users to leverage graph data structures efficiently. In contrast, Power BI supports a wide variety of data sources, including cloud-based services and traditional databases, providing more flexibility in data connectivity.

  3. User Interface and Customization: Linkurious offers a user-friendly interface designed specifically for graph exploration, making it intuitive and easy to navigate through interconnected data nodes and relationships. Conversely, Power BI provides a highly customizable interface with extensive options for designing dashboards and reports to suit individual preferences and branding requirements.

  4. Collaboration and Sharing Features: Linkurious emphasizes collaboration features for team-based analysis, enabling users to share and collaborate on graph data exploration projects seamlessly. Power BI offers robust sharing and collaboration capabilities as well, allowing users to publish reports and dashboards for broader access within organizations.

  5. Advanced Analytical Functions: Power BI includes a wide array of advanced analytical functions and machine learning capabilities for in-depth data analysis and predictive modeling. While Linkurious focuses on simplifying graph exploration and visualization, Power BI caters to users with more advanced analytical requirements.

  6. Licensing and Pricing: Linkurious offers subscription-based pricing tailored to individual or enterprise needs, while Power BI provides various licensing options, including a free version with limited functionality and premium versions for advanced features and capabilities.

In Summary, Linkurious and Power BI differ in their focus on graph visualization, data connectivity, user interface customization, collaboration features, advanced analytics, and pricing models.

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Advice on Linkurious, Power BI

Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

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Comments

Detailed Comparison

Linkurious
Linkurious
Power BI
Power BI

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

Dynamic visualization; full-text search;Highly customizable;Advanced analytics;Graph data editor;Collaborative analysis;Alerts and monitoring;User-rights management system
Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
Statistics
Stacks
7
Stacks
993
Followers
30
Followers
946
Votes
1
Votes
29
Pros & Cons
Pros
  • 1
    Highly customizable
Pros
  • 18
    Cross-filtering
  • 4
    Database visualisation
  • 2
    Intuitive and complete internal ETL
  • 2
    Powerful Calculation Engine
  • 2
    Access from anywhere
Integrations
Neo4j
Neo4j
Titan
Titan
Microsoft Excel
Microsoft Excel

What are some alternatives to Linkurious, Power BI?

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.

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.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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