TL;DR Short answer: before choosing a tool to export Stripe data, look at Stripe Data Pipeline, Stripe's own paid product that shares your complete Stripe data into Snowflake, Redshift, Databricks or BigQuery every few hours. ETL tools make sense when you want Stripe in the same pipeline as your CRM and product data, need it more often than every three hours, or want to avoid a per-transaction fee. Ten options:
Airbyte Stripe Data Pipeline Fivetran Estuary Flow Stitch Data Hevo Data Boomi Data Integration Matillion Meltano Apache Airflow One Stripe constraint: Stripe keeps events for only 30 days. Tools that sync changes incrementally from the Events API need to run at least that often; a pipeline paused for longer has to re-read the objects it missed, which on a long payment history is slow.Why export Stripe data to a warehouse? Stripe holds charges, payment intents, subscriptions, invoices, customers, refunds, disputes, payouts and balance transactions. Its dashboard reports well on payments in isolation, but MRR, churn, cohort retention and revenue recognition all need Stripe data joined to something else: product usage, CRM accounts, marketing spend or support costs. The dashboard's CSV export is a manual snapshot, so anything recurring needs a pipeline.
How do the Stripe ETL tools compare? Tool Freshness Destinations Hosting Pricing basis Airbyte Your schedule, incremental Any Cloud or self-hosted Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Stripe Data Pipeline Full refresh every 3 hours Snowflake, Redshift, Databricks, BigQuery, cloud storage Stripe Per transaction Fivetran Your schedule, incremental Any Cloud Monthly active rows Estuary Flow Real time Warehouses and streams Cloud or private deployment Data volume Stitch Data Your schedule Major warehouses Cloud Row volume tiers Hevo Data Near real time Major warehouses Cloud Events Boomi Data Integration Your schedule Major warehouses Cloud Credits Matillion Your schedule Snowflake, Databricks, Redshift Your cloud account Credits Meltano Your schedule Any Singer target Self-hosted Free, open source Apache Airflow Whatever you build Whatever you write Self-hosted or managed Free, you run it
Which Stripe ETL tools should you consider? Every option below reads Stripe natively. Generic ETL platforms that can only reach Stripe through hand-built REST calls are left out.
1. Airbyte Airbyte is an open-source data integration platform with 700+ connectors and a community of 25,000+ data engineers. Its Stripe source syncs charges, customers, subscriptions, invoices, refunds, disputes, payouts, balance transactions and more, incrementally with a lookback window so recent updates are re-read. It loads into any Airbyte destination and works with dbt for MRR and churn models.
What's unique about Airbyte? Self-hosting keeps payment data inside your network, which matters for some finance and compliance teams, and Enterprise Flex keeps the data plane in your own environment while Airbyte runs the control plane. Stripe moves through the same pipeline as your CRM and product data, with no per-transaction fee. Connectors are open source and editable, and the Connector Development Kit covers anything else.
2. Stripe Data Pipeline Stripe Data Pipeline is Stripe's own product for moving your data out. It sends a data share to Snowflake, Amazon Redshift, Databricks or BigQuery, or writes Parquet files to S3, Google Cloud Storage or Azure Blob Storage, with core data available within 12 hours of setup and a full refresh every three hours after that. It is the most complete copy of Stripe data you can get, mapped to the API schema and including financial reports in Snowflake, with no connector to maintain. The trade-offs are a per-transaction fee, a three-hour cadence, and that it moves Stripe only, so your other sources still need a pipeline.
3. Fivetran Fivetran is a closed-source, managed ELT service with 700+ connectors, including Stripe. Connectors are maintained for you and schema changes are applied automatically. It bills on monthly active rows, so cost tracks how much your Stripe data changes each month.
Here is a closer look at Airbyte vs Fivetran .
4. Estuary Flow Estuary Flow is a streaming-first integration platform with a native Stripe connector that reads Stripe's Events API continuously rather than on a schedule. That makes it the option here for teams who want payment data within minutes, for fraud checks or live revenue dashboards. It also captures from Stripe Connected Accounts, which many connectors do not. Because it relies on the event stream, history older than Stripe's 30-day event retention has to come from an initial backfill.
5. Stitch Data Stitch is a cloud extract-and-load platform with 140+ connectors, including Stripe, originally built on the Singer specification. It has no user-defined transformations and suits straightforward loading. Qlik acquired Talend, and Stitch with it, in 2023, and now publishes a migration path from Stitch to Qlik Talend Cloud, which is worth weighing before committing.
Here is a closer look at Airbyte vs Stitch .
6. Hevo Data Hevo Data is a no-code cloud ELT platform with 150+ connectors, including Stripe, and built-in transformation applied before data reaches the destination. It is cloud-only and billed on events, so it will not suit teams that need payment data to stay inside their own network.
7. Boomi Data Integration (formerly Rivery) Boomi acquired Rivery in December 2024 and now sells it as Boomi Data Integration. It has a Stripe connector and bundles transformation, orchestration and reverse ETL in one cloud platform. Pricing is in credits that vary by connector, which can make cost hard to model.
8. Matillion Matillion's cloud platform has a Stripe connector and pushes transformation down into Snowflake, Databricks or Redshift, with dbt support since v1.70. Running in your own cloud account keeps Stripe data inside your infrastructure. It bills in credits tied to job runtime and makes most sense when Matillion already runs your warehouse transformations.
Here is a closer look at Airbyte vs Matillion .
9. Meltano Meltano is an open-source, CLI-first platform spun out of GitLab that manages taps and targets as a version-controlled project, with Stripe extractors on Meltano Hub. It suits teams who want pipelines defined in code. Check which variant is maintained and how it handles Stripe's 30-day event window, since connector maintenance falls to the community.
10. Apache Airflow Apache Airflow is an open-source orchestrator, not an ETL tool. You can schedule Python code that calls the Stripe API, but you write the pagination, rate-limit handling, incremental logic and loading yourself. Its real role is scheduling a connector-based tool such as Airbyte, or dbt models on top of Stripe data that is already in the warehouse.
Here is a closer look at Airbyte vs Airflow .
Should you use Stripe Data Pipeline, Stripe Sigma or an ETL tool? Stripe offers two native ways to work with your data, and they answer different needs:
Stripe Sigma: SQL over your Stripe data inside the Stripe Dashboard. Good for finance teams answering Stripe-only questions, but the data never leaves Stripe, so you cannot join it to anything else.Stripe Data Pipeline: a complete, Stripe-maintained copy of your data in Snowflake, Redshift, Databricks or BigQuery, refreshed every three hours. The simplest route into those warehouses if a per-transaction fee and a three-hour cadence work for you.An ETL tool: the right choice when Stripe should share a pipeline, schedule and destination with your other sources, when you need fresher data than every three hours, when your destination is Postgres or another database outside Data Pipeline's list, or when per-transaction pricing becomes expensive at volume.The two are not exclusive. Some teams use Data Pipeline for the authoritative financial copy and an ETL tool for operational syncs that need to run more often.
How do you start exporting Stripe data with Airbyte? Step 1: Set up Stripe as a source In the Stripe Dashboard, under Developers and API keys, create a restricted key with read-only access to the resources you need; your publishable key cannot read data, and a full secret key grants more access than an export needs. In Airbyte, open Sources, choose New source and select Stripe, then enter your Stripe account ID, the restricted key, a start date and a lookback window, and run the connection test.
Step 2: Set up a destination Choose where the data lands: a cloud warehouse such as Snowflake, BigQuery or Redshift, a database such as Postgres, a data lake or cloud storage.
Step 3: Configure the connection Select the streams you need, use incremental sync with deduplication, and schedule syncs at least daily so they stay well inside Stripe's 30-day event window.
The process is the same in Airbyte Open Source, which you can deploy yourself , and in Airbyte Cloud, which you can try free for 14 days .
Which Stripe ETL tool should you choose? If your warehouse is Snowflake, Redshift, Databricks or BigQuery and a three-hour cadence is fine, price out Stripe Data Pipeline first; it is the most complete copy with nothing to maintain. If Stripe needs to sit in the same pipeline as your other sources, or the per-transaction fee is high at your volume, Airbyte syncs it alongside everything else, self-hosted or in Cloud, and Fivetran does it fully managed. Choose Estuary for real-time payment events, Hevo, Stitch or Boomi for simpler no-code needs, and Matillion, Meltano or Airflow where they already run.
For tools that cover more than Stripe, see our guide to the top data integration tools .
Sync Stripe with Airbyte Move Stripe charges, subscriptions, invoices and payouts into Snowflake, BigQuery, Postgres or any Airbyte destination, next to your CRM and product data, self-hosted or in Airbyte Cloud.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. What is Stripe Data Pipeline? Stripe's own product for exporting data. It shares your complete Stripe data into Snowflake, Amazon Redshift, Databricks or BigQuery, or writes Parquet files to cloud storage, refreshing every three hours, for a per-transaction fee.
2. What is the difference between Stripe Sigma and Data Pipeline? Sigma lets you query Stripe data with SQL inside the Stripe Dashboard, so the data stays in Stripe. Data Pipeline sends a copy to your own warehouse, where it can be joined to data from other systems.
3. Which Stripe API key should an ETL tool use? A restricted key with read-only permissions on the resources you export. The publishable key cannot read data, and a full secret key gives far more access than an export needs.
4. How long does Stripe keep events? 30 days. Tools that read changes from the Events API need to sync at least that often, and any history older than 30 days has to come from reading the objects themselves rather than the event stream.
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