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REAL-TIME ETL & CDC

Move your data from Stripe Real-time with your free account

Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.

  • <100ms Data pipelines
  • 100+ Connectors
  • 2-5x less than batch ELT
01. Move from Stripe Real-time02. Transform in-flight03. Select a destination
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Stripe Real-time connector details

The Stripe Real-time connector continuously streams data from the Stripe API into Estuary Flow collections, allowing you to analyze and act on up-to-date financial and customer information across your business.

  • Comprehensive coverage: Captures a wide range of Stripe resources including charges, invoices, payments, subscriptions, refunds, disputes, and more.
  • Real-time ingestion: Streams events as they occur, giving you an always-current view of transactions and account activity.
  • Connected account support: When capture_connected_accounts is enabled, Flow captures data from all connected Stripe accounts and includes an account_id field in each document.
  • Simple configuration: Requires only your Stripe API key and an optional start_date to begin replication.
  • Flexible sync modes: Supports incremental and full-refresh bindings, making it suitable for both live and historical data ingestion.
  • Secure by design: Uses your private API credentials with encrypted configuration storage in Flow.

💡 Tip: Use the _start_date_ parameter to control backfill volume and avoid pulling older data when you only need current records.

For more details about the Stripe Real-time connector, check out the documentation page.

How to connect Stripe Real-time to your destination in 3 easy steps

1

Connect Stripe Real-time as your data source

Securely connect Stripe Real-time and choose the objects, tables, or collections you need to sync.

2

Prepare and transform your data

Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.

3

Sync to your destination

Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.

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Trusted by data teams worldwide

All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

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HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes from Stripe Real-time in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.

  • Ensure your Stripe Real-time insights always reflect the latest data by connecting your databases to Stripe Real-time with change data capture.
  • Or connect critical SaaS apps to Stripe Real-time with real-time data pipelines.

See how you can integrate Stripe Real-time with any destination:

Details

or choose from these popular data sources:

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PostgreSQL
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MySQL
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SQL Server
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MongoDB
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Apache Kafka
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Google Bigquery
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Snowflake

Don't see a connector?Request and our team will get back to you in 24 hours

Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

Deliver real-time and batch data from DBs, SaaS, APIs, and more

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.