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  5. CARTO vs Tableau

CARTO vs Tableau

OverviewDecisionsComparisonAlternatives

Overview

CARTO
CARTO
Stacks40
Followers78
Votes3
GitHub Stars2.8K
Forks658
Tableau
Tableau
Stacks1.3K
Followers1.4K
Votes8

CARTO vs Tableau: What are the differences?

1. **Data Connection and Integration**: CARTO allows users to directly connect and integrate with cloud-based or on-premise systems, while Tableau requires additional tools or plugins for seamless data connection. 2. **Spatial Analysis Capabilities**: CARTO specializes in geospatial analysis, providing advanced mapping and spatial querying functionalities, while Tableau offers limited features for spatial analysis and mapping. 3. **User Interface and Data Visualization**: Tableau is known for its user-friendly interface and extensive data visualization options, making it easier for non-technical users to create interactive dashboards, while CARTO may require more technical expertise for advanced visualizations. 4. **Collaboration and Sharing**: Tableau offers robust collaboration features, allowing users to publish and share dashboards with specific permissions and access controls, while CARTO's sharing capabilities are more limited in comparison. 5. **Customization and Extensibility**: Tableau provides a wide range of customizations and extensions through its marketplace, allowing users to enhance their visualizations and dashboards, whereas CARTO has fewer options for customization and extensibility. 6. **Scalability and Performance**: Tableau is known for its scalability and ability to handle large datasets efficiently, while CARTO may face performance limitations with extremely complex or massive datasets.

In Summary, CARTO and Tableau differ in terms of their data connection capabilities, spatial analysis features, user interface, collaboration options, customization abilities, and scalability and performance.

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Advice on CARTO, Tableau

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.

353k views353k
Comments
Wei
Wei

CTO at Flux Work

Jan 8, 2020

Decided

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

230k views230k
Comments

Detailed Comparison

CARTO
CARTO
Tableau
Tableau

The CARTO platform empowers everyone, from business analysts to data scientists, to turn location data into business outcomes. We accelerate innovation, power new use cases and disrupt business models through Location Intelligence.

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Drag and drop data import allows you to create visualizations in seconds;Make sense of your location data and power your business.;Create beautiful visualizations with our easy to use design and styling tools.;Run spatial analysis with no coding.;Create dashboards to explore and filter your data.;Share your visualizations securely with your team or publish them on the web.;Integrate maps and geospatial analyses directly into your websites.;Create Mobile applications with CARTO Mobile SDK.;
Connect to data on prem or in the cloud—whether it’s big data, a SQL database, a spreadsheet, or cloud apps like Google Analytics and Salesforce. Access and combine disparate data without writing code. Power users can pivot, split, and manage metadata to optimize data sources. Analysis begins with data. Get more from yours with Tableau.; Exceptional analytics demand more than a pretty dashboard. Quickly build powerful calculations from existing data, drag and drop reference lines and forecasts, and review statistical summaries. Make your point with trend analyses, regressions, and correlations for tried and true statistical understanding. Ask new questions, spot trends, identify opportunities, and make data-driven decisions with confidence.; Answer the “where” as well as the “why.” Create interactive maps automatically. Built-in postal codes mean lightning-fast mapping for more than 50 countries worldwide. Use custom geocodes and territories for personalized regions, like sales areas. We designed Tableau maps specifically to help your data stand out.; Ditch the static slides for live stories that others can explore. Create a compelling narrative that empowers everyone you work with to ask their own questions, analyzing interactive visualizations with fresh data. Be part of a culture of data collaboration, extending the impact of your insights.
Statistics
GitHub Stars
2.8K
GitHub Stars
-
GitHub Forks
658
GitHub Forks
-
Stacks
40
Stacks
1.3K
Followers
78
Followers
1.4K
Votes
3
Votes
8
Pros & Cons
Pros
  • 1
    Great customer service
  • 1
    Comprehensive platform
  • 1
    Crisp UI
Pros
  • 6
    Capable of visualising billions of rows
  • 1
    Responsive
  • 1
    Intuitive and easy to learn
Cons
  • 3
    Very expensive for small companies

What are some alternatives to CARTO, Tableau?

Google Maps

Google Maps

Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.

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.

Mapbox

Mapbox

We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub.

Leaflet

Leaflet

Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.

OpenStreetMap

OpenStreetMap

OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world.

OpenLayers

OpenLayers

An opensource javascript library to load, display and render maps from multiple sources on web pages.

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.

ArcGIS

ArcGIS

It is a geographic information system for working with maps and geographic information. It is used for creating and using maps, compiling geographic data, analyzing mapped information, sharing and much more.

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