|Pricing URL||Official TimescaleDB Pricing|
Based on our record, Prometheus seems to be a lot more popular than TimescaleDB. While we know about 64 links to Prometheus, we've tracked only 3 mentions of TimescaleDB. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
I have built a Django server which serves up the JSON configuration, and I'd also like the server to store and render sensor graphs & event data for my Thing. In future, I'd probably use something like timescale.com as it is a database suited for this application. However right now I only have a handful of devices, and don't want to spend a lot of time configuring my back end when the Thing is my focus. So I'm... - Source: Reddit / 14 days ago
I've seen a lot of benchmark results on timescale on the web but they all come from timescale.com so I just want to ask if those are accurate. - Source: Reddit / about 2 months ago
Ryan from Timescale here. We (TimescaleDB) just launched the second annual State of PostgreSQL survey, which asks developers across the globe about themselves, how they use PostgreSQL, their experiences with the community, and more. - Source: Reddit / 7 months ago
No, Prometheus is the modern solution for Linux and Windows now. - Source: Reddit / 7 days ago
I use Prometheus (plus prometheus-node-exporter and alertmanager). You might need to do a bit of scripting for metrics provided out of the box, but it's usually really simple and the result works well. - Source: Reddit / 8 days ago
I contribute to Prometheus and participate in various CNCF groups because those groups are relevant to my job functions. In the case of Prometheus I was a user of the tool long before I wrote a PR, and contribute to the tool because:. - Source: Reddit / 14 days ago
Prometheus is a good general use monitoring system. You can combine it with various tools like UnPoller, blackbox_exporter, or smokeping_prober. - Source: Reddit / 16 days ago
Great question! This new storage allowed us to implement a really powerful label-based data model, much like labeling and selection of time-series in Prometheus. This is incredibly powerful when slicing and dicing data to find exactly what you're looking for. Many of our early users switched just because of this. Also, the eBPF based profiler we just released allows profiling targets with low overhead and best... - Source: Hacker News / 17 days ago
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