v2.4.0 — now with streaming CDC

Data pipelines that
just work.

Stitch APIs, databases, and warehouses into living data streams that refresh, transform, and deliver — without a single engineer babysitting a cron job.

Try in Browser
live preview
pipeline.connectDrag source nodes onto a canvas. Postgres, Stripe, S3, Kafka — 47 connectors, each authenticated in under 90 seconds.
🐘Postgres
💳Stripe
🪣S3
📨Kafka
Snowflake❄️
BigQuery🔷
47 native connectors. Sub-second transforms. Zero YAML.
47

native connectors

<1s

second transforms

0

lines of YAML

99.98%

uptime SLA

3.2min

avg setup time

comparison

Why engineers switch to Pipeline.

Green checkmarks speak for themselves. Violet badges mark what only Pipeline does.

Feature
Pipeline
recommended
Fivetran
Airbyte
Hand-rolled
Setup time
< 3 min
Transformation layer
built-in SQL
partial
Orchestration built-in
no Airflow
Pricing model
row-based free tier
partial
Schema drift alerts
partial
Streaming / CDC support
Kafka + Debezium
partial
partial
Zero YAML config
Self-hostable
CLI-first workflow
git-native
partial
Try in Browser — no install
live deploy

From empty canvas to first successful run.

Watch a real pipeline go live in under 12 seconds.

pipeline — bash — 120×40

This is a real pipeline run against a staging environment. No mocks, no animations — just the CLI.

social proof

Engineers who switched, never looked back.

We had fourteen Airflow DAGs held together with bash scripts and prayers. Pipeline replaced all of them in a single afternoon. The SQL transform layer alone saved us two engineers worth of maintenance.
pipeline build time: 2 weeks → 40 minutes
Marcus Delacroix, staff data engineer with short dark hair

Marcus Delacroix

Staff Data Engineer · Luma Health

I evaluated Fivetran and Airbyte for three sprints. Neither had built-in orchestration. With Pipeline, I went from zero to production in one Friday afternoon. The CLI is genuinely a joy to use.
connector setup: 4 hours → 8 minutes
Priya Venkataraman, analytics lead with dark hair and warm smile

Priya Venkataraman

Analytics Lead · Draftbit

As a solo CTO at a seed-stage startup, I can't afford a data engineering hire. Pipeline gives me production-grade ETL that I can actually understand and debug at 2am when something breaks.
monthly data infra cost: $2,800 → $0 on free tier
Jake Okonkwo, startup CTO with natural hair and confident expression

Jake Okonkwo

CTO & Co-Founder · Vesper AI

free tier · no email required

Stop babysitting
your pipelines.

One CLI command and your data moves itself. No YAML, no cron jobs, no 3am pages.

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✓ No credit card✓ 1M rows free/month✓ Open-source core✓ SOC 2 Type II