To be honest, there isn't really any competition to ArcGIS, while there are smaller applications such as QGIS, they are not enterprise. Meaning that they might do onething well, but not at a enterprise level. Other applications such as Google Maps API, and Mapbox, is just …
My students love the "drop" feature in Google Maps, but besides that it truly doesn't compare. I love that you can add, delete, or change layers to this map to better understand its larger affect. There are many more ways to manipulate maps on ArcGIS than on Google Maps. I can …
These alternatives to ArcGIS have one thing in common - they are all generally more user-friendly, and they all lack the capability of ArcGIS. ArcGIS can do most anything geographically-related, while these other products do one or two things very well. For instance, ArcGIS's …
There is a reason why ArcGIS and Esri is still a leader in the spatial data industry. Their tools are irreplaceable, though many other mapping companies are taking the technology further and enabling their maps to be better seen or used on a web-based platform or browser. …
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. …
I'm very grateful to be able to use it, and I have a master's degree with a focus in Geospatial Analysis. There can be a bit of a learning curve, and I try to build user-friendly ways for volunteers to see & collect data. Meanwhile, if a colleague is less confident with building such a system, it may be more difficult for them to implement.
CartoDB is great for generating geographic visualizations of data where the geographies are well-defined. It would be great for analysts to develop visualizations of data with spatial elements. That being said, the software is limited if you want to do any real data munging or analysis, as it can be cumbersome to use and there isn't a great interface for actually saving the results of different manipulations (you can save it as a new file, but it's hard to do version control, etc.). I would recommend preparing the data outside of CartoDB and only using the tool for visualization once the data is well prepared.
It is most suited for someone who has a physical office, particularly a retail store which helps them to promote the business locally. I would suggest businessmen should use this tool for promoting their business in a more effective way. It is of least important if you are promoting your business digitally and don't have a physical location.
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.
Simply because the program deserves it. It seems to me that it is a fundamental tool for the storage, analysis, and interpretation of medium and large-scale phenomena, unmanageable with traditional engineering software. Its versatility in the handling of the different "layers" with which the data is handled and interpolation tools, make this software a powerful ally both for companies and for the educational part of the universities.
Once set up, the tools are extremely easy to use. I had a staff member develop a tool for field data collection, that included an external and internal dashboards to monitor progress in days. The field workers that collected the data, barely knew how to use a computer, and within minutes they could use the application that was configured for them.
Google Maps API is easy to use. Map visibility is good and accurate. Easy to search routes, distance, and travel time based on actual address to address locations or when quoting a zip code to zip code rate. The user interface is friendly and make usage easy and quick to obtain all the information I need to properly quote and plan my driver's routes.
Unlike other platforms (ex: EMSI), there is no "help desk" new users can easily call into for troubleshooting or errors, and so you have to spend LOTS of time trying workarounds. This is also because the help center blog posts are usually pretty confusing, and many times do not include images or videos to help you along. Any such changes would be immensely useful!
It does everything I need it to do and hasn't let me down yet. It has been a lifesaver for my roofing accounts. Most of my clients for the roofing belong to an Amish community with no computers and so forth. So being able to search the maps and look at the rooftops is imperative for those campaigns.
My students love the "drop" feature in Google Maps, but besides that it truly doesn't compare. I love that you can add, delete, or change layers to this map to better understand its larger affect. There are many more ways to manipulate maps on ArcGIS than on Google Maps. I can also add personal details and information if I want to create a specific map, something that I am unable to do with Google
Google MAP API is one of the prominent ones as compared to others. In the selection process also we are [complete] with the API provider by Google MAP as it is quite stable.No doubt it is one of the best methods to implement or integrate as compared to any others which is available in the competition.
CartoDB definitely saves a lot of time when creating visualizations. Previously, I would use different software and have to make edits manually (or just create the visualizations manually to start with). I would say that the software definitely cuts the time required to create certain visualizations by a half or two-thirds.
