Use pre-built templates that suit your data project

Turn your E-Commerce into Zalando data drivenness

Measure effects across offline and online channels and allocate your budget.

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Equip your mobility startup with Uber like analytics

Merge the location data of your mobility startup with external data and predict demand.

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Perform location analytics like Starbucks does

Build for your retail or quick commerce startup a location model to predict revenue

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A Data Workspace for BI Analysts
on top of the Modern Data Stack

BI Analysts 📊
turn into Data Engineers

Cover end-to-end data use cases without coding.

Build complete analytics workflows through loading, transforming, and applying
Get help by an engineer to customize your project whenever you need
Use pre-defined templates for marketing, location, and startup use cases

Discover templates

A simple node on the Kuwala No-Code Environment

Analytics Engineers 👩🏽💻 customize with tools they love

Stop writing redundant code and get rid of ad-hoc tasks

how it works

Build reusable components for BI Analysts with the frameworks you love
Add data sources with Airbyte, transformations with dbt, and new data science models with Python
Kuwala is open-source with active community support

A transformation added with dbt to Kuwala

Deliver your data project faster than expected ⚡️

With Kuwala we empower cross-functional teams to work efficiently with your data.

Consolidate your existing Modern Data Stack 🚀
No lock-in - Kuwala is extendable and open-source
Solutions engineering with the Kuwala core team

schedule a Call

The universe of Modern Data Stack and Use-Cases with Kuwala

Espresso House builds a next gen location analytics system with Kuwala

Espresso House is a coffee shop brand with over 400 shops in the Nordics. They used Kuwala to merge internal and external data sources in order to train a model that informs the the expansion team of market potentials.

Standardization of multiple data sources providing POI and behavioral insights data
Multi-layer data aggregation
Frequent data update in order to keep the prediction model up to date

Interested? talk to us