Visual ELT flows
Create integration and transformation flows visually, while keeping SQL clear and readable.
Open-source SQL ETLT platform
Build and control data pipelines without losing visibility
Belt helps data teams and business users design ELTL flows, run process chains, monitor every data batch.
Belt is an ETLT tool evolving toward ETLT++.
Production-ready core available for pilot deployments. PostgreSQL, ClickHouse and Python are supported. Additional connectors are planned for future releases.
Source
Databases, API, Python and so on
SQL ETLT
Design flows, transform data with SQL
Target
Full control: Request and batch tracking, reloads, errors, lineage and load history
The gap
Data loading is easy Full control is not
Many teams can create pipelines, but later struggle to answer simple operational questions: which request loaded these rows, which batch failed, what can be safely deleted, and how to reload only the broken part. Belt is focused on this operational layer.
SQL transformations
Write business SQL. Belt adds technical metadata automatically during loading.
Chains
Run flows as controlled process chains with monitoring, statuses and recovery.
Monitoring
Inspect chain runs and data batch status. Delete or reload selected data batches when needed.
Lineage view
See how sources, transformations and targets are connected.
Auto-documentation
Automatic project documentation generation after implementation
Who needs it
For small and medium data teams that need control, not platform bureaucracy
- Teams that need visible, recoverable, request-based ELT
- BI teams building internal data marts
- Business users and analysts who knows SQL
- Companies moving data into DWH
- Teams that need ELT, scheduling, monitoring and lineage in one tool
Pilot program
Try Belt on real pipelines
We are looking for 2–3 companies to run Belt on real ELT processes. Pilot teams get free deployment, setup assistance and direct support in exchange for feedback and a short case study if the pilot is successful.
Apply for free pilot