Features

Dingolytics is an open-source tool to collect and store analytical data on product usage and metrics — highly customizable, interoperable, and developer-friendly.

Data streams with schemas

Ingest your application events, metrics or logs into structured database using JSON format and HTTP(S) API.

JavaScript SDK

Embed pages views tracking into your web site or application with one line of code. Customize the data that you'd want to send for tracking activities. Check the details

HTTP(S) API to ingest data

Use any HTTP client to send JSON formatted data to ingest. Send structured logs or application events from Python, Go, Swift, Rust or whatever you need to.

SQL console

Query your data using SQL and get real-time analytical results. Get hands on with raw data if necessary to get a close up view on what's going on.

Parameterized queries

Create parameterized SQL queries to retreive dynamically filtered results based on inputs:

select
  count(*) as views_count
from
  dingolytics.web_site_events
where
  path = {{path}};

Published endpoints

Turn your SQL queries into endpoints exposing aggregated or raw data. Use published endpoints for visualization, building application logic, creating reports for stakeholders, observability.

Try it out