You can visualize data in a variety of databases including Elasticsearch, InfluxDb, OpenTSDB, Graphite, and Prometheus. It’s part of the official ELK stack (Elasticsearch Logstash Kibana) which makes it one of the quickest visualization tools to get up and running due to it’s tight integration with Elasticsearch relative to tools like Grafana which are far more complex to set up. Free and open-source software gives you, the user, the freedom to run, share, study and modify it without limitations. Inspect the source code behind our product. Because trace generation is expensive, sampling is usually employed to snapshot every X requests or specific criteria. the utilization of your APIs and to discover any performance or functional issues that may be impacting customers. Learn more about it within our privacy Policy page. Ripping out and changing authentication and authorization design is not an easy task and could force a complete rewrite. Stories about privacy, web analytics, and building a financially sustainable open-source project. With Google Analytics, you can track useful i… Licensed to be free to use, modify, and distribute. A thriving open-source community is a treasured asset to any open-source project. There will never be an event which will cause Matomo to turn the open-source software into proprietary software. To make Matomo privacy regulation compliant and to not have to ask your visitors for cookie or GDPR consent, you can take these steps. With this information, it enables you to make informed business decisions to improve engagement and boost your sales. You can see the comparison to the previous period. If so many key aspects of Matomo and Plausible are similar, in which ways do we differ and what makes Plausible a great Matomo alternative? Kibana and Elasticsearch is designed to be paired with a Logstash instance which enables you to design a logging pipeline to process and enrich API logs such as normalized any HTTP headers or add geo IP information to each API call. Kibana is one of the de facto open-source log visualization tools out there for engineers. Not all tools support all use cases directly, and may require heavy investment in development and integration. That’s 45 times smaller than the Google Analytics Global Site Tag. Built with privacy of your visitors in mind. There are a variety of open-source projects you can leverage to build a complete API analytics platform. Built openly on Github, released under the AGPL license and can be self-hosted too. By default, Kibana is purely a visualization tool which means things like alerting, anomaly detection, and authentication are separate. This does leave everything else up to you including configuring your data source and processing your data into a time series metric that can be displayed by Grafana. This means that Matomo is used on 1% of all websites on the web. Both of our tools are developed in the open too welcoming user feedback and suggestions. API Platform and specialized analysis like funnel analysis or cohort retention analysis. Plausible Analytics script you need to integrate into your site looks like this: By being a more simple and more lightweight alternative, it means that Plausible also tracks and collects fewer data points by default. Without a community of believers, contributors to encourage, challenge and advocate for us, we wouldn’t have made it to where we are. Plausible will reduce your page weight and will stop your site from loading slow. This means that the code is available on GitHub for anyone to view and inspect. Some customer-facing teams like developer relations and customer success may want to build automated workflows to notify customers or internal specific internal stakeholders based on complex user behavioral flows. Both of our tools are fully open-source web analytics first of all. If you want to visualize data stored in a SQL database or other data store, you’ll need to look elsewhere. Many times, you don’t know the types of queries that need to be displayed but should choose a project that enables flexibility in both the data model and the visualization layer. Even though the purpose of Plausible Analytics is to track the usage of a website, this can still be done without collecting any personal data or personally identifiable information (PII), without using cookies and while respecting the privacy of the website visitors. For Matomo, the “free” in “free software” is used primarily in reference to freedom and not to price – although Matomo core is available free of charge. Such processing requires a separate cluster-computing framework for map-reduce operations like Spark or Hadoop. For some website owners, all of these metrics and reports might be useful but the majority will probably never look at more than a fraction of them. Jaeger supports multiple data sources like Grafana including Cassandra and Elasticsearch. Plausible Analytics is a lightweight web analytics tool that is built with speed and performance in mind. Previously CTO @TroveMarket and Computer Architect @Intel. One of the largest web analytics platforms on the web versus a brand new startup. The freedom to redistribute copies so you can help others. Because real-time logging can raise the compute and storage cost, not all Free software has been a coherent social movement for more than two decades. You can do event and goal conversion tracking too and we plan to add more useful metrics as we go along but you get the idea behind it. With behavioral emails and workflows, you’re able to scale customer outreach and support efforts with automated emails with a set of steps. Keep in mind these alerts are limited to the same time series metrics you are already monitoring in Grafana. Even though the purpose of Plausible Analytics is to track the usage of a website, this can still be done without collecting any personal data or personally identifiable information (PII), without using cookies and while respecting the privacy of your website visitors. Plausible adds <1KB page weight. Simple, easy to understand and quick to review website analytics. When you enter your Matomo dashboard, it has that Google Analytics feel in terms of the amount of features, charts and the huge number of metrics and reports you have access to. and in JavaScript (angularjs, jquery, Jqplot, sprintf, jquery plugins, etc). that want to depend on their API analytics solution to put out the (hopefully far and few between) The primary use case for Grafana is to design a dashboard to monitor time-series metrics regularly such as on a TV in the office.