Databunker VS prometheus

Compare Databunker vs prometheus and see what are their differences.

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Databunker prometheus
35 131
922 39,837
2.0% 1.3%
8.7 9.8
7 days ago 5 days ago
Go Go
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of Databunker. We have used some of these posts to build our list of alternatives and similar projects.


Posts with mentions or reviews of prometheus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-05.
  • [TECH] ECS Fargate のメトリクスを Prometheus Agent 使って AMP に送って Grafana で監視する 🔥
    4 projects | | 5 Dec 2021
    FROM --platform=arm64 alpine:3.15 ADD prometheus.tmpl.yml /etc/prometheus/ RUN apk add --update --no-cache jq sed curl # ARM64 で動作する Prometheus v2.32.0 を curl でダウンロード展開する RUN curl -sL -O RUN tar -zxvf prometheus-2.32.0-rc.0.linux-arm64.tar.gz && rm prometheus-2.32.0-rc.0.linux-arm64.tar.gz # `prometheus` コマンドを `/usr/local/bin/prometheus` に移動する RUN mv prometheus-2.32.0-rc.0.linux-arm64/prometheus /usr/local/bin/prometheus COPY ./ / RUN chmod +x / CMD ["/"]
  • WireGuard show all dump not updating latest handshake
    3 projects | | 4 Dec 2021
    I'm using [Prometheus]( NMS And [Grafana]( as a graphical display to monitor WireGuard connections and data metrics in general.I'm using a [WireGuard Metrics Exporter]( that relies on the stdout of ` wg show all dump`
  • How important is Observability for SRE?
    5 projects | | 3 Dec 2021
    Metrics are measurements of something about your system. They are numeric values, over an interval of time, usually with associated metadata (e.g., timestamp, name). They can be raw, calculated, or aggregated over a period of time. They can come from a variety of sources like servers or APIs. Metrics are structured by default and can be stored in open source systems like Prometheus and Riemann or in off-the-shelf solutions like Amazon CloudWatch and Azure Monitor. These optimized storage systems allow you to perform queries, create alerts, and store them for long periods of time.
  • What do you monitor on devices?
    1 project | | 30 Nov 2021
    Side note, if you're going to redesign your Zabbix setup, I recommend upgrading to Prometheus. Think of it like a modern Zabbix, which includes a new protocol designed to replace SNMP.
  • Prometheus en AKS
    1 project | | 29 Nov 2021
    1 project | | 29 Nov 2021
  • Prometheus in AKS
    1 project | | 29 Nov 2021
    So, let's jump directly to what we will be talking today here, Prometheus is a monitoring tool that is very popular in Kubernetes world as is one of the CNCF (Cloud Native Computing Foundation) projects and this means is a very mature product with a big support in the community.
  • My media server dashboard, been pretty happy with it for a while, trying to decided if I need any other info on it
    7 projects | | 29 Nov 2021
    Are you looking for general container metrics, or the media server-specific metrics OP has? If you're just looking for general metrics, I just made a blog post tutorial on this, I can PM you if interested but I don't want to spam/self promote here. The three basic components are Grafana, Prometheus, and node exporter
  • Building a bare-metal Kubernetes cluster on Raspberry Pi
    8 projects | | 26 Nov 2021
    You can install Grafana and Prometheus to monitor your cluster resources. But here's a quick tip if all you want is to look at the CPU/Memory utilization:
  • The unbearable fussiness of the smart home
    8 projects | | 24 Nov 2021
    > [...] that feed into a prometheus -> cortex store, so I can then map them on Grafana.

    I had to Google because I've never heard of any of those. Did I find the right ones?

    Mine is much more primitive. My indoor temperature monitor is an ESP8266 that uploads the temperature to a simple PHP page that saves it in an sqlite DB. A cron job runs a Perl script every few minutes that extract the data for the last hour, 3 hours, 12 hours, 48 hours, and since the beginning of time and uses gnuplot to produce PNG graphs. There's a static page on my server that displays those graphs.

    My outdoor temperature monitor uses a cheap AcuRite 433 MHz indoor/outdoor thermometer I bought. I have an RPi with an RTL-SDR attached spying on the communications between the AcuRite sensor outside and the AcuRite display inside using rtl_433. A script looks at the rtl_433 and finds the AcuRite sensor data and puts it in an sqlite DB. I haven't yet gotten around to making something to graph it.

    The nice thing about that approach is that it was also easy to add support for other 433 MHz wireless sensors near me, such as the AcuRite fridge/freezer thermometer I have. I can also see a few assorted sensors of neighbors (temperature, humidity, soil moisture, tire pressure, wind speed, wind direction, rain, and a few other random things). If I wanted to it would be easy to add them to the DB.

    When I made a wireless tipping range gauge recently. I used a 433 MHz transmitter module [1] and added a decoder [2] to rtl_433 that understands my data stream format. That gets my data into the rtl_433 output. No need to futz around with 433 MHz receiver modules which appear to be a pain in the ass [3]. An ATTiny85 counts the tips and runs the transmitter. The ATTiny85, the transmitter module, a battery holder, an RJ11 socket because the rain gauge has an RJ11 connector, a board to put those things on [4], and a small waterproof case is pretty much the complete parts list.

    I think I'm going to standardize on this general approach. For things that do not have WiFi and only need to report data 433 MHz modules and custom decoders fro rtl_433 on the RPi. For things that do have WiFi, such as any future ESP projects I do, they will just use WiFi to talk to the RPi. If anything needs to get sent outside of my LAN the RPi will handle it.

    The RPi is also currently controlling a space heater in my living room, getting connection data from my cable modem periodically and recording that in an sqlite DB, and serving a simple web page that lets me quickly change inputs and volume on my Denon receiver and so I'm already pretty much committed to keeping it running all the time.


    [2] Decoders can be specified in a simple text file. Here's the one for my rain guage as an example:

      decoder {

What are some alternatives?

When comparing Databunker and prometheus you can also consider the following projects:

Jolokia - JMX on Capsaicin

JavaMelody - JavaMelody : monitoring of JavaEE applications

Glowroot - Easy to use, very low overhead, Java APM

jaeger - CNCF Jaeger, a Distributed Tracing Platform

Telegraf - The plugin-driven server agent for collecting & reporting metrics.

Ganglia - Ganglia Web Frontend

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

Collectd - The system statistics collection daemon. Please send Pull Requests here!

skywalking - APM, Application Performance Monitoring System

VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database

Zabbix - Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud.

jmxtrans - jmxtrans