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Geckoboard vs Grafana: What are the differences?

Geckoboard: Beautiful data dashboards, fast. View your key data in one place. From uptime and analytics to check-ins, Geckoboard is a hosted dashboard that’s available on any screen with a browser. Geckoboard monitors your businesses vital signs; Grafana: Open source Graphite & InfluxDB Dashboard and Graph Editor. Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Geckoboard belongs to "Business Dashboards" category of the tech stack, while Grafana can be primarily classified under "Monitoring Tools".

Some of the features offered by Geckoboard are:

  • A widget for every occasion.- We have native widgets that can bring in your CRM, Email, Infrastructure, Project Management, Sales & Finance, Social Media and Web Analytics data on to your Geckoboard.
  • Create your own widgets- Import your own data into a range of pre-built visualisations – from pie charts, to funnels and bullet graphs
  • Use our Custom Widgets API to create custom charts and widgets for your own dashboards, visualising your own data on Geckoboard.

On the other hand, Grafana provides the following key features:

  • Create, edit, save & search dashboards
  • Change column spans and row heights
  • Drag and drop panels to rearrange

"Takes a little bit to set up, once done, it's all yours" is the primary reason why developers consider Geckoboard over the competitors, whereas "Beautiful" was stated as the key factor in picking Grafana.

Grafana is an open source tool with 29.7K GitHub stars and 5.64K GitHub forks. Here's a link to Grafana's open source repository on GitHub.

According to the StackShare community, Grafana has a broader approval, being mentioned in 579 company stacks & 325 developers stacks; compared to Geckoboard, which is listed in 36 company stacks and 5 developer stacks.

- No public GitHub repository available -

What is Geckoboard?

From uptime and analytics to check-ins, Geckoboard is a hosted dashboard that’s available on any screen with a browser. Geckoboard monitors your businesses vital signs.

What is Grafana?

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
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      What are some alternatives to Geckoboard and Grafana?
      Ducksboard
      Ducksboard is a real-time dashboard for tracking internal metrics and web services. A single place where you can gather data from all SaaS apps you use (GoogleAnalytics, Mailchimp, Twitter, Zendesk…), as well as any internal metric you might consider. You can access your metrics in real time from your browser, but you will also be able to generate Excel and PDF files to share with your team or export widgets to your intranet.
      Chartio
      Chartio is a cloud-based business analytics solution on a mission to enable everyone within an organization to access, explore, transform and visualize their data.
      Tableau
      Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
      Cyfe
      Cyfe is an all-in-one dashboard that helps you monitor and analyze data found across all your online services like Google Analytics, Salesforce, AdSense, MailChimp, Amazon, Facebook, WordPress, Zendesk, Twitter and more from one single location in real-time.
      DOMO
      Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
      See all alternatives
      Decisions about Geckoboard and Grafana
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      One size definitely doesn’t fit all when it comes to open source monitoring solutions, and executing generally understood best practices in the context of unique distributed systems presents all sorts of problems. Megan Anctil, a senior engineer on the Technical Operations team at Slack gave a talk at an O’Reilly Velocity Conference sharing pain points and lessons learned at wrangling known technologies such as Icinga, Graphite, Grafana, and the Elastic Stack to best fit the company’s use cases.

      At the time, Slack used a few well-known monitoring tools since it’s Technical Operations team wasn’t large enough to build an in-house solution for all of these. Nor did the team think it’s sustainable to throw money at the problem, given the volume of information processed and the not-insignificant price and rigidity of many vendor solutions. With thousands of servers across multiple regions and millions of metrics and documents being processed and indexed per second, the team had to figure out how to scale these technologies to fit Slack’s needs.

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      Tech Brand Mgr, Office of CTO at Uber · | 10 upvotes · 841.4K views
      atUber TechnologiesUber Technologies
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      By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

      To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

      https://eng.uber.com/m3/

      (GitHub : https://github.com/m3db/m3)

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      Data science and engineering teams at Lyft maintain several big data pipelines that serve as the foundation for various types of analysis throughout the business.

      Apache Airflow sits at the center of this big data infrastructure, allowing users to “programmatically author, schedule, and monitor data pipelines.” Airflow is an open source tool, and “Lyft is the very first Airflow adopter in production since the project was open sourced around three years ago.”

      There are several key components of the architecture. A web UI allows users to view the status of their queries, along with an audit trail of any modifications the query. A metadata database stores things like job status and task instance status. A multi-process scheduler handles job requests, and triggers the executor to execute those tasks.

      Airflow supports several executors, though Lyft uses CeleryExecutor to scale task execution in production. Airflow is deployed to three Amazon Auto Scaling Groups, with each associated with a celery queue.

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      Datadog, Statsd, Grafana, and PagerDuty are all used to monitor the Airflow system.

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      For our Predictive Analytics platform, we have used both Grafana and Kibana

      Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

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      Interest over time
      Reviews of Geckoboard and Grafana
      Review ofGrafanaGrafana

      analyze heap dump and many logging or traces

      How developers use Geckoboard and Grafana
      Avatar of ShadowICT
      ShadowICT uses GrafanaGrafana

      We use Grafana to view live stats relating to our servers such as memory and CPU usage. We also use Grafana to monitor our gaming servers for data such as latency and player counts. This allows us to generate effective analytics and see when problems arise.

      Avatar of Andrew Gatenby
      Andrew Gatenby uses GrafanaGrafana

      Everyone likes graphs, right?! This isn't a tool we actively use right now, but paired with Prometheus we want to use it to have visual monitors on things like API cluster health, status, queue stats, DB/redis query and cache stats etc.

      Avatar of Scrayos UG (haftungsbeschränkt)
      Scrayos UG (haftungsbeschränkt) uses GrafanaGrafana

      Grafana is used in combination with Prometheus to display the gathered stats and to monitor our physical servers aswell as their virtual applications. We also use Grafana to get notifications about irregularities.

      Avatar of sapslaj
      sapslaj uses GrafanaGrafana

      Grafana takes the data from InfluxDB and presents it in a nice flexible format. Bonus points for built-in alerts and playlists (cycles through different dashboards automatically)

      Avatar of BĂąi Thanh
      BĂąi Thanh uses GrafanaGrafana
      • Graph report with many panels and Dashboard.
      • Easy to deploy, and view performance of system.
      • Intergrating with many datasource: Prometheus, CloudWatch
      • Alerts
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