Sync Stripe data to Postgres in real time.
Subscriptions, invoices, charges, and customers — piped into your database automatically. No Fivetran. No ETL scripts. Just describe what you want.
Estimated setup: ~3 minutes
Your Stripe data is trapped.
Stripe’s dashboard tells you what happened. It doesn’t let you ask questions. You can’t join subscription data with your product database. You can’t run cohort analysis across billing and usage. You can’t power a BI tool from Stripe’s API without building a pipeline first.
So you export CSVs. Or you pay $500/month for Fivetran. Or you write a brittle sync script that breaks every time Stripe changes their API. None of these are good options.
Downloading CSVs from the Stripe dashboard and importing them into spreadsheets. By the time you've cleaned the data, it's already stale.
Fivetran, Stitch, and Airbyte charge $300–$1,000+/month for a single Stripe connector. That's a lot for moving JSON into tables.
Hand-written cron jobs that paginate the Stripe API, handle rate limits, manage cursor state, and inevitably break at 2 AM on a Sunday.
You need your Stripe data in Postgres — live, structured, and queryable.
Your data pipeline, running live.
Stripe- Events
- API
- Webhooks
- Transform
- Normalize
- Deduplicate
Postgres- customers
- charges
- subscriptions
- invoices
- products
- prices
Clean, normalized tables. Ready to query.
camelAI doesn’t dump JSON blobs into a single column. It creates proper relational tables with typed columns, foreign keys, and indexes — the same schema a senior engineer would design.
stripe_sync=# \d stripe.customers
Indexes:
"customers_pkey" PRIMARY KEY (id)
"customers_email_idx" btree (email)
"customers_created_idx" btree (created_at)
6 tables · 48,523 total rows · schema: stripe · last sync: 4s ago
Set it up in one conversation.
Connect Stripe
Add your Stripe API key in camelAI's integration settings. Read-only restricted keys work perfectly — the pipeline only reads data.
Connect StripeConnect Postgres
Paste your database connection string. camelAI supports Supabase, Neon, AWS RDS, or any Postgres-compatible host.
Connect PostgresDescribe your pipeline
Tell the agent what to sync:
stripe schema. Normalize the data into relational tables with proper foreign keys. Run every 5 minutes.”The agent builds it
camelAI writes the sync code, creates the database schema, handles Stripe API pagination, manages cursor-based incremental syncing, deduplicates records, and sets up a cron job. No YAML. No config files. No deploy pipeline.
// Fetches, transforms, upserts...
...
}
Query your data
Your Stripe data is in Postgres. Join it with your product tables, pipe it into Metabase or Grafana, or ask camelAI to build you a dashboard.
FROM stripe.customers c
JOIN stripe.subscriptions s ON c.id = s.customer_id
WHERE s.status = 'active'
ORDER BY mrr DESC
LIMIT 10;
Every object. Every field. Always current.
Customer profiles, emails, creation dates, and metadata. The foundation of every revenue query.
3,412 rows
Active plans, billing cycles, trial windows, cancellation dates, and MRR per subscription.
1,847 rows
Every payment attempt — succeeded, failed, and refunded. Amount, currency, payment method, failure codes.
28,891 rows
Line items, amounts due and paid, tax calculations, and payment status for every billing cycle.
14,203 rows
Your product catalog — names, descriptions, images, and metadata as configured in Stripe.
42 rows
Pricing tiers, billing intervals, currencies, and lookup keys tied to each product.
128 rows
Why engineers are dropping their ETL tools.
| Traditional ETL | camelAI | |
|---|---|---|
| Setup time | Hours to days | ~3 minutes |
| Monthly cost | $300–$1,000+ | Included in plan |
| Schema customization | Limited or rigid | You describe what you want |
| Transformation layer | Separate dbt project | Built into the pipeline |
| Custom logic | Write YAML config files | Describe it in plain English |
| Incremental updates | Connector-dependent | Automatic (cursor-based) |
| Monitoring & alerts | Separate tool required | Built-in |
| Adding new tables | Config change + redeploy | "Also sync payment intents" |
camelAI isn’t an ETL tool — it’s an engineer that builds your pipeline and maintains it. When Stripe adds new API fields, the agent adapts. When your schema needs evolve, you describe the change in English.
Built for engineers who’d rather query than export.
You want Stripe data in your database so your application can use it directly. Customer lookups, subscription status checks, usage-based feature gating — all from SQL queries instead of API calls. You need the data to be fresh, structured, and joinable with your product tables.
You need Stripe revenue data in your warehouse for cohort analysis, churn modeling, and revenue forecasting. You don't want to maintain a separate ETL pipeline for a single data source — especially one that costs more per month than the analysis it enables.
You're building internal tooling on top of Stripe data — admin panels, billing dashboards, anomaly alerts. You need a reliable, always-current data foundation that your tools can query directly, not a brittle API integration that rate-limits under load.
Common questions.
Keep building.
Build a Stripe Revenue Dashboard
Build a live MRR, churn, and LTV dashboard from your Stripe data — deployed to a shareable URL.
Read guideAnalyze Stripe Churn with AI
Use AI to find churn patterns in your Stripe subscription data and identify at-risk customers.
Read guideBuild a Postgres Admin Panel
Create a Retool-alternative admin panel for browsing and editing your Postgres data.
Read guideGet Slack Alerts for Stripe Payments
Post real-time payment notifications to Slack whenever a charge succeeds, fails, or is refunded.
Read guideYour Stripe data belongs in your database.
Tell camelAI what to sync. It’ll handle the rest.