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.
Databox is an easy-to-use analytics platform for growing businesses. By connecting all your tools, you can centralize your data in one place and then visualize, track, analyze, and report on key metrics across your entire organization.
We’ve taken powerful analytics features, normally found in complex enterprise tools, and made them accessible for growing businesses. Now, anyone on your team can use data to make better decisions and improve performance.
Based on our record, Redis seems to be a lot more popular than Databox. While we know about 218 links to Redis, we've tracked only 6 mentions of Databox. 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
Databox — Business Insights & Analytics by combining other analytics & BI platforms. Free Plan offers 3 users, dashboards & data sources. 11M historical data records. - Source: dev.to / over 1 year ago
You need a plan that gives you access to workflows, and the ad events tool. If you can also get the lower tier of a paid databox subscription for reporting. Source: over 2 years ago
I've actually just read about this service on another post, but if it's just a way to display the data from a Google Ads account that makes it easy to interpret and to share then you can get a free account here: https://databox.com. Source: over 2 years ago
Another option is to go with something like https://databox.com/ with built-in reporting. $250 just to white label the reports seems excessive though. Source: over 2 years ago
Databox — Business Insights & Analytics by combining other analytics & BI platforms. Free Plan offers 3 users, dashboards & data sources. 11M historical data records. - Source: dev.to / almost 4 years ago
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