Why We Built Datanika
Building data pipelines shouldn't require stitching together five different tools. Most teams today need a data loader (Fivetran, Airbyte), a transformation tool (dbt Cloud), a scheduler (Airflow, Dagster), and a monitoring solution — each with its own learning curve, billing, and maintenance burden.
Datanika takes a different approach: one platform for the entire pipeline.
What Datanika Does
- Extract & Load — Connect to 30 sources (databases, APIs, SaaS tools, files) and load data into your warehouse using dlt.
- Transform — Write SQL models powered by dbt-core, with a built-in editor, tests, and snapshots.
- Orchestrate — Build visual pipelines with a DAG editor, set up schedules with cron expressions, and define dependencies.
- Monitor — Track every run with streaming logs, error details, and execution history.
Open Source First
Datanika's core is open source under AGPL-3.0. You can self-host it with Docker Compose or use our managed platform at app.datanika.io.
Get Started
Sign up for free at app.datanika.io — no credit card required. Your first 500 model runs per month are free, forever.
- Getting Started Guide — first pipeline in 5 minutes
- 35 Connectors — databases, SaaS APIs, files, and streaming
- Pricing — Free / Pro / Enterprise tiers
- Architecture Overview — how the pieces fit together
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