Based on our record, Apache Cassandra should be more popular than Mapbox. It has been mentiond 41 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Yeah domain knowledge/network is definitely needed, I am working with a friend who has that, it's a must in this field because it's almost set in the stone age. Google maps was crazy expensive I went with Mapbox[1] for now which seems to have enough features and is less expensive. [1] https://mapbox.com/. - Source: Hacker News / about 1 year ago
|Developer Notes| |:-| |Optional Power Shortcuts - Provides shortcuts to deeper links. Example: I wanted a one-touch button that opens the Developer Options menu. This app does this. Not required for core functionality of the theme.| |Allows 4 custom wallpapers, either local files or web links. Includes 2 add'l wallpapers pulled from Bing Daily and r/earthporn.| |The location and weather panel has a live map... Source: over 1 year ago
The location and weather panel has a live map displayed. Well, it won't for you, unless you grab a free API key from mapbox.com and paste it in the 1st global. Source: over 1 year ago
If you want to show polygons it is a bit more difficult. With the above map functions you can create a Choropleth map by using predefined regions (like countries, states etc.). But for custom polygons it won't work. You can either use ArcGIS Online in combination with the ArcGIS Maps for Power BI viz or use the Mapbox Visual function (you need to install this one first by pressing "Get more visuals"). You can... Source: almost 2 years ago
They are using mapbox.com service and their API to build this map. Source: about 2 years ago
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 1 month ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 2 months ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 4 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 9 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 9 months ago
Google Maps - Find local businesses, view maps and get driving directions in Google Maps.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
QGIS - QGIS is a desktop geographic information system, or GIS.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
ArcGIS - ArcGIS software is a data analysis, cloud-based mapping platform that allows users to customize maps and see real-time data ranging from logistics support to overall mapping analysis.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.