How it works
Build robust pipelines.
Deliver reliable data.
Centralize all your sources, tables, metrics, and dashboards in a single platform. No more data chaos.
Factored transforms
Define once and reuse multiple times the same important transforms. No more code duplication.
Automated pipelines
Build automated pipelines that pull and transform the data on schedules. Deliver timely data without tedious manual work.
Tests
Implement tests to control the structure and content of your data tables or specific conditions. Ensure data quality every step of the way.
Trusted assets
Mark specific tables, metrics, and dashboards as trusted to build a curated collection of data assets everyone can trust.

Set it up in mins.
Work faster and easier.
All in one
Selfr includes all the components of a modern data stack in a single cohesive interface, so you don't have to juggle between different products.
Plug & play
Don't spend weeks and data engineering talent to build your data stack. Selfr is ready to use in minutes.

No-code
Selfr can be used by any data or business analyst. With its no-code interface, even SQL knowledge is not required.
AI-powered
Leverage the power of Selfr AI to help you build transforms, write tests, find data assets, and fix pipelines issues.

Empower business teams.
For all teams
Use Selfr to deliver data for every business team and cover every use-case.

Free data exploration
Empower non-technical people to transform data and build their own analytics in a sandbox – without messing up the warehouse.
Natural language queries
Build dashboards by asking questions in plain English. No SQL or complicated UI framework to master.


Start small. Grow big.
Secure
Control who has access to what with our advanced two-level permissions system and row level security rules (RLS).

Powered by
Scalable
Selfr is powered by world-class data warehouse technology Snowflake. It is secure, reliable, and infinitely scalable.
No lock-in
You can always export your pipelines to dbt to reuse your assets or connect third party apps for specific use-cases.