You can use Jitsu to collect event data from websites, apps, emails, chatbots, and CRMs directly into your data warehouse. It streams behavioral data in real-time, automatically constructs user identity graphs, and lets you modify or filter events before storage. The tool supports major warehouses like Snowflake, BigQuery, and Redshift, plus includes ClickHouse for free. You can implement it by adding a simple JavaScript tag, similar to Google Analytics setup.
Build real-time analytics dashboards from warehouse data
Create unified customer profiles from multiple touchpoints
Stream e-commerce events for personalization engines
Monitor user signup flows and conversion funnels
Send behavioral data to marketing automation tools
Standout Features
Add single JavaScript tag for complete setup
Stream events to warehouse in real-time
Automatically builds user identity graphs
Modify events with JavaScript functions before storage
Includes free ClickHouse warehouse
Deploy on custom subdomain to avoid ad blockers
Tasks it helps with
Set up event tracking with single script tag
Configure real-time data streams to your warehouse
Write JavaScript functions to transform event data
Build user identity maps from cross-platform events
Query behavioral data with SQL for analysis
Set up custom domains to bypass ad blockers
Who is it for?
Data Analyst, Data Scientist, Data Engineer, Business Intelligence Developer, Software Engineer, Full-Stack Developer, Product Manager, Growth Manager, Business Analyst, Marketing Automation Specialist
Overall Web Sentiment
People love it
Time to value
Quick Setup (< 1 hour)
Tutorials
Jitsu, data pipeline, event data collection, real-time streaming, data warehouse, user identity, behavioral analytics, open source, JavaScript tracking, ClickHouse, Snowflake, BigQuery, Redshift, event streaming, data integration, warehouse-first, MIT license
