Apache Pig VS Trackboxx
Compare Apache Pig VS Trackboxx and see what are their differences
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Apache Pig
Looker
Jupyter
Presto DB
Google BigQuery
Databricks
Rakam
Informatica
Trackboxx
Fathom Analytics
micro-analytics
Plausible.io
Google Analytics
Finteza
ClickStory
Nilly
Trackboxx is a simple and effective tool to record and evaluate visitors to your website. With Trackboxx we offer a clear and simple solution to evaluate what is happening on your website. No consent banner is required and is fully compliant with the Data Protection Act. The Trackboxx works without cookies and we do not store any personal data! This means that you don´t have to mention Trackboxx in any Consent Banner. So long as you are not using any other program that collects personal data, the Opt-in Option for example, Consent Banner is not required.
Apache Pig TrackboxxTrackboxx's answer:
Trackboxx is the first privacy-first webanayltics, developed in germany. We offer several features in the realm of web analytics that our direct competitors do not provide. This includes, for example, the tracking of external links, and soon, the e-commerce tracking, which does not exist in any of our competitors' offerings. Additionally, the "userjourney" will soon be implemented, providing our customers with entirely new possibilities forweb analysis.
Trackboxx's answer:
In the realm of privacy-first web analytics offerings, the representations, visualizations, and evaluation capabilities are quite similar. We decided to take Trackboxx a step further - moving away from mere "data presentation" to genuine analysis. Furthermore, we've also chosen to incorporate additional features and functions into Trackboxx, such as a fully functional e-commerce tracking and a user journey that enables detailed analysis and evaluations.
Trackboxx's answer:
Our customers essentially come from all sectors and company sizes. We have many "smaller" clients who want to monitor their own websites, but we also have a multitude of agencies and marketing experts who oversee both their own projects as well as those of their clients. Moreover, well-known, reputable clients have now started to rely on Trackboxx, such as various banks and health insurance companies.
Trackboxx's answer:
Trackboxx was founded in 2020 and develops and distributes web analytics software as a SaaS solution. The idea emerged when it became increasingly difficult to use Google Analytics for our own projects as well as for client projects in a data protection-compliant manner. Thus, there was a desire to develop an in-house solution. It quickly became clear that there was a large market for such a solution, leading to the decision to develop Trackboxx as a full-fledged SaaS solution.
Trackboxx is compliant with data protection regulations and does not use cookies or process personal data. As a result, there is no need for a consent banner when using it on one's own website.
Trackboxx's answer:
Laravel, Angular, NodeJS, Clickhouse for our database
Trackboxx's answer:
Plausible Fathom Analytics Simpleanalystics
After quitting with google analytics i tested several solutions, like Matomo, plausible and simpleanalytics, i ended up with Trackboxx. Main reason was the clean dashboard that loads lighting fast. Another point was the roadmap - they are working (or already integrating) an e-commerce tracking what is very important for me.
I have been using Trackboxx for almost 2 years now and very happy with the data that I retrieve. The URL builder is a great addition to help support my marketing campaigns and the ability to set up goals!
Based on our record, Apache Pig should be more popular than Trackboxx. It has been mentiond 2 times since March 2021. 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.
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 2 years ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 3 years ago
Great to see so many alternatives! It would be great if we would get a spot on the list at some point. https://trackboxx.com/en/. Source: over 3 years ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Fathom Analytics - Simple, trustworthy website analytics (finally)
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
micro-analytics - Public analytics as a Node.js microservice 📈
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)
Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺