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CARTO has been widely embraced by users across various industries due to its versatility and intuitive features. Real estate investment …
Overview
What is CARTO?
Carto (formerly CartoDB) in Brooklyn, New York offers their location intelligence solution.
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What is CARTO?
Carto (formerly CartoDB) in Brooklyn, New York offers their location intelligence solution.
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- No setup fee
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- Premium Consulting/Integration Services
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What is Mapbox?
Mapbox is the location data platform for developers building custom geospatial features into mobile, web, and on-premise applications.
Product Demos
Demo - CartoDB (Data Innovation Day 2014)
YouTube
carto demo 3d slam KITTI 2019 08 13 16 26 16
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Carto Demo Playthrough / Longplay / Walkthrough (no commentary)
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Carto Maps Demo for temporal animation, and multiple attribute data
YouTube
EZvi Tank Changing the Carto Demo
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Data Viz Workshop: Carto demo 1
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Product Details
- About
- Tech Details
What is CARTO?
CARTO Video
From smartphones to connected cars, location data is changing the way we live and the way business happens. CARTO is the platform that turns location data into more efficient delivery routes, better behavioral marketing, strategic store placements, and much more.
Everyone, f...
 Show More CARTO Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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CARTO has been widely embraced by users across various industries due to its versatility and intuitive features. Real estate investment teams, for instance, have found great value in leveraging CARTO to analyze and visualize data related to their investments. The platform's customizable visualizations have proven to be instrumental in supporting their research efforts. Similarly, personnel from different fields have benefited from the method of depicting and integrating information directly into CARTO, as it enables them to effectively use and present data in a visually appealing manner. From visualizing police jurisdictional boundaries to gathering spatial insights for academic studies, CARTO has demonstrated its usefulness in solving geospatial problems around the world. The software's ability to combine and visualize different datasets, overlay data on Google Maps, and create interactive web maps has been praised by users who rely on location-based analytics and mapping techniques. Overall, CARTO's user-friendly interface, wide range of functionalities, and streamlined storage and access capabilities have made it a valuable tool for professionals seeking efficient solutions to their geospatial needs.
Visually Enriched Raw Data: Many users have found the raw data in Carto to be visually enriched and informative, allowing them to gain valuable insights through visual representations. They appreciate how the data is presented in a visually appealing manner, making it easier for them to understand and analyze.
Good Service Provided by Carto Team: Several users have praised the exceptional service provided by the Carto team. They value the effective communication and prompt delivery of requested depictions, which has greatly contributed to their positive experience with the platform.
Availability of Additional Libraries for Enhanced UI Processing Power: Users highly appreciate the availability of additional libraries in Python and JavaScript within Carto. These libraries provide them with enhanced functionality, enabling customization and optimization of their UI processing power. This flexibility allows users to tailor their experience according to their specific needs and preferences.
Errors in Display: Some users have reported occasional errors being displayed, possibly due to issues with the data source. These errors have been mentioned by multiple reviewers and can affect the overall user experience.
Difficult User Interface: The user interface is not considered user-friendly and can be difficult for new users to understand. This issue has been mentioned by several reviewers, indicating a common frustration among users.
Challenging Data Manipulation: Manipulating and uploading data sets with geometry data can be challenging, leading to corrupted and invalid geometries. Some users have expressed difficulty with this aspect of the product, suggesting that improvements are needed in this area.
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Users commonly recommend trying out CARTO with a simple map and available datasets to get started. They suggest using the CARTO Builder and exploring the API tutorials for different use cases. This is especially beneficial for organizations with limited resources and technical ability.
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Users find it useful to integrate CARTO with other technologies like databricks and JavaScript. This allows for enhanced mapping capabilities and creates more robust visualizations.
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Implementing geo analysis in reports and presentations can greatly enhance audience appeal. CARTO serves as a valuable visual and presentation tool, although some users find that detailed analytics may be lacking. It's important to consider this limitation when utilizing the platform.
Overall, users suggest giving CARTO a try for satisfactory results. They highlight its usefulness as a publishing and sharing tool for maps to a large audience. Additionally, users value reading the blog posts and exploring map designs created by others. Collaborating with the CARTO team is also recommended for efficient and optimal use. It is advised to take the time to understand the various features of CARTO by reading the documentation.
Reviews
(1-1 of 1)Companies can't remove reviews or game the system. Here's why
May 31, 2016
CartoDB is a joy to work with
I integrated CartoDB into a Java Spring MVC web application to support complex visualizations of geographic networking data. CartoDB allowed me to create maps of network nodes colored by various state information to help identify and diagnose trouble areas. Once I got it set up it was very simple to add visualizations of additional metrics so we ended up building out map styles for all sorts of information and finding interesting and unexpected patterns.
- It is amazing at allowing control of the visualizations. It takes a little bit to get used to but the combination of full SQL queries and CSS-like styling is very powerful.
- The services are built on a robust stack of open source software. I was able to build a standalone instance of CartoDB relatively easily (after some research and trial and error).
- Server side map rendering is key for handling large data sets. The way the images are returned makes them very easy to catch in an HTTP cache to minimize the hits to the server. The interactivity that CartoDB has built in makes this completely transparent to the end user, they can click on parts of the static images and be presented with popups or change map styles. It's a very clever implementation.
- I adopted CartoDB just before a major API change. We chose to make a standalone instance and unfortunately this API change meant we would have to do a lot of work to move to a newer version. Perhaps just a hazard of being an early adopter.
- It would be extremely helpful if CartoDB provided a Java library for interacting with the service. The visualization definition (setting up the map, styles, etc) is all handled by sending a JSON structure to the service. In my application I had to manually create a large number of Java classes mapping the expected JSON format so that we could construct the visualization from our code. This was a fair amount of work and was invalidated when CartoDB later changed their visualization structure. This could be mitigated by providing client libraries for common languages.
- There's an immediate "wow" factor to using CartoDB. It's what you want a map to look like and provides very intuitive user functionality out of the box. I demoed our mapping capabilities to a set of network operators and by the end of the call they were begging for an upgrade to their deployed systems.
- The hosted service is reasonably priced but with some work you can build your own standalone instance. At that point you have a "free" (not counting development time) mapping solution that can be installed in private networks, something not possible with Google Maps.
- I had a hard requirement that we not send actual data to Google. We were allowed to request the base map tiles from Google but the customer did not want their position data sent outside of the network. CartoDB made this possible since the overlay tile renderer was installed internally. This was a crucial selling point that helped us win the business.
- Google Maps API and Google Fusion Tables
Google Maps API was what we started with. It provides a lot of nice tools, but they are all browser-side. This means that when you want to display points on a map you send data to the users browser and the software runs on the users's machine to render that data into points. This allows flexibility and more dynamic behavior but does not scale to large numbers of data points - more than ~1000 points brings the browser to its knees. CartoDB takes a fundamentally different approach, rendering position data on the server side into static image tiles that are overlaid on top of a standard Google Map. This means scaling is dependent on backend equipment not on the user's browser/machine.
If you're doing something small Google Maps API is great and it doesn't require any extra setup or dependencies. If you need to scale CartoDB is the best solution available.
If you're doing something small Google Maps API is great and it doesn't require any extra setup or dependencies. If you need to scale CartoDB is the best solution available.