Why do we need another data tool?

Dingolytics is an open-source tool to collect and store analytical data on product usage and metrics, highly customizable, interoperable, and developer-friendly. We help developers integrate data collection easily and export results to stakeholders in a convenient way.

We started Dingolytics not because there are few data tools but probably because there are too many of them. Paradoxically.

You know that one from xkcd right?

OK, ok. We have to admit we're creating yet another solution. But here's the thing: We are not inventing anything!

What?! But as a start-up you have to be a breakthrough rocket science AI-powered paradigm shift trillion-dollar market-challenging product. Agree to disagree. Ask real developers or CTOs whether they would prefer modernizing UX for a good-old-working solution or picking well-marketed magic as a foundation for their tech stack.

We believe in open source. We believe in de-facto standards. We believe in effective and performant solutions in the long run. We believe in keeping things as simple as needed.

Just do good UX!

We use ClickHouse to store and process analytical data, which is designed perfectly for that. We use Vector to ingest the data in a performant and secure way. That is the core of the stack. And we provide a UI to manage it, query original data, and share results with coworkers and business owners.

Starting the self-hosted deployment could be as easy as docker compose up -d

To give it a try, check out our GitHub repository or contact us if you are interested in a managed solution.