Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
Based on our record, Redis seems to be a lot more popular than Ubidots. While we know about 218 links to Redis, we've tracked only 7 mentions of Ubidots. 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.
Picture this: you've just built a snappy web app, and you're feeling pretty good about it. You've added Redis to cache frequently accessed data, and your app is flying—pages load in milliseconds, users are happy, and you're a rockstar. But then, a user updates their profile, and… oops. The app still shows their old info. Or worse, a new blog post doesn't appear on the homepage. What's going on? Welcome to the... - Source: dev.to / 19 days ago
Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / 25 days ago
Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / about 1 month ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / about 1 month ago
Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / about 2 months ago
For hombrewing they use https://ubidots.com/ to read fermentation information. The device connects http outbound with a JSON payload. Source: over 2 years ago
I used to work in https://ubidots.com it’s also written in Django. Source: almost 3 years ago
But we don't want your data to live on Notehub! The most important part of the story is securely routing your data to any cloud endpoint. Take a look at our extensive Routing Tutorials and pick your favorite cloud, such as Ubidots, and create an engaging cloud dashboard to interpret your data:. - Source: dev.to / about 3 years ago
By using the "edge ML" capabilities provided by Edge Impulse, the cellular Notecard device-to-cloud data pump from Blues Wireless, a Raspberry Pi Zero 2 W, and an Ubidots dashboard, I was able to create a simple, low-power, thermal monitoring station with only a small bit of Python coding required 🐍. - Source: dev.to / over 3 years ago
While this is great to see, the next step was to configure a more functional cloud-based dashboard to view the incoming data in real time. To do so I created a route in Notehub to securely sync data with Ubidots. - Source: dev.to / almost 4 years ago
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