TL;DR Short answer: Chargebee data is easy to extract and easy to get subtly wrong. Most tools can pull subscriptions and invoices; the differences are Product Catalog 2.0 support, how deleted records are handled, and how pricing behaves on tables that change every day. Six tools with real Chargebee connectors:
Airbyte Fivetran Estuary Hevo Data Stitch Meltano The Chargebee constraint: sites created from May 2021 use Product Catalog 2.0 (items and item prices) instead of plans and addons, so confirm a tool supports your site's version before you build reports on it. Chargebee ETL tools move subscription, invoice and payment data out of Chargebee and into a warehouse, where it can sit next to product usage, CRM and finance data. That is what turns Chargebee's own reports into MRR, churn, expansion and cohort analysis you can actually trust.
Why move Chargebee data into a warehouse? Chargebee is a subscription billing platform that handles plans, recurring invoices, payments and dunning. Its built-in reports cover billing itself, but most revenue questions span several systems: churn by product usage, expansion by sales segment, or revenue recognition reconciled against the general ledger. Replicating Chargebee into a warehouse lets you join subscriptions and invoices with that context, keep history that the source overwrites, and model metrics such as MRR consistently in SQL or dbt.
How do the Chargebee ETL tools compare? Tool Sync style Deployment Pricing model Best for Airbyte Full refresh and incremental, Product Catalog 1.0 and 2.0 Cloud, self-hosted, Enterprise Flex Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Chargebee alongside many other sources Fivetran Managed, scheduled incremental Cloud, hybrid Monthly active rows Hands-off pipelines Estuary Real-time and batch Cloud, private deployment Data volume Low-latency billing data Hevo Data Managed, near real time Cloud Events No-code teams Stitch Scheduled extract and load Cloud Rows per month Simple, small workloads Meltano Singer tap you schedule yourself Self-hosted Free, open source Code-first teams
Which Chargebee ETL tools should you consider? Six tools with Chargebee connectors, from the most flexible to the most code-first:
1. Airbyte Airbyte is an open-source ELT platform with 700+ connectors. Its Chargebee connector supports full refresh and incremental syncs, including deduplicated incremental loads, and works with both Product Catalog versions: it defaults to 2.0 and skips streams that only exist in the other version rather than failing the sync. It covers subscriptions, customers, invoices, credit notes, transactions, items, item prices, coupons and events, along with custom fields.
You can self-host Airbyte Core, use Airbyte Cloud, or run Enterprise Flex, where the data plane stays inside your own cloud or data centre so billing and customer records never leave your environment. If you need a Chargebee endpoint the connector does not cover, the Connector Builder lets you add it without waiting for a vendor.
Pros Cons Supports Product Catalog 1.0 and 2.0 with incremental sync Self-hosting means running the platform yourself Chargebee lands next to 700+ other sources in one pipeline Transformation happens in the warehouse with SQL or dbt Open source, editable connector and Enterprise Flex for data residency Advanced governance features sit on the Pro and Enterprise Flex plans
2. Fivetran Fivetran is a fully managed ELT service with 700+ connectors, including a managed Chargebee connector that Fivetran builds and maintains. Schema changes are handled automatically and there is nothing to host. Fivetran completed its merger with dbt Labs in June 2026, so ingestion and dbt transformation now come from the same company.
Fivetran bills on monthly active rows. Subscription and invoice tables change constantly, so a busy Chargebee site can generate more active rows than its size suggests.
Pros Cons Fully managed, with no infrastructure to run Monthly active row pricing rises with high-churn billing tables Automatic schema handling Connector behaviour cannot be modified Pairs naturally with dbt for revenue modelling Hybrid deployment covers only a subset of connectors
3. Estuary Estuary is a real-time data movement platform with a Chargebee connector that streams subscription, billing and customer data continuously, choosing incremental or full refresh per resource. It can deliver to Snowflake, BigQuery, Databricks and other destinations with latency set anywhere from near real time to batch.
Pros Cons Low-latency Chargebee data for operational use cases Smaller connector catalogue than the largest ELT tools Streaming and batch from one platform Pricing on data volume needs modelling for large sites Private deployment option Fewer teams have used it at scale than the incumbents
4. Hevo Data Hevo Data is a no-code managed pipeline platform with 150+ connectors, including Chargebee. It can transform data before it loads, using Python or a drag-and-drop editor, and includes reverse ETL for pushing modelled data back into business tools. Pricing is based on events, with a free tier for small volumes.
Pros Cons No-code setup suited to teams without data engineers Cloud-only, with no self-hosted option Transformation before load when you need it Event-based pricing grows with billing activity Reverse ETL included Smaller catalogue than Airbyte or Fivetran
5. Stitch Stitch is a simple, hosted extract-and-load service built on the Singer specification, with a Chargebee integration among its 140+ connectors. It has no meaningful transformation layer, so modelling happens in the warehouse. Qlik acquired Stitch with Talend in 2023 and now publishes a migration path to Qlik Talend Cloud, which is worth weighing before starting a new pipeline on it.
Pros Cons Quick to set up for a single Chargebee site No transformation layer Published, tier-based pricing Product line being consolidated into Qlik Talend Cloud Familiar to teams already using Singer taps Narrower catalogue than larger platforms
6. Meltano Meltano is an open-source, CLI-first data integration tool that runs Singer taps and targets from configuration kept in Git. It can run the community tap-chargebee to load Chargebee into any Singer target. Because the tap is community-maintained, check which Chargebee objects and Product Catalog version your chosen variant supports, and plan to own fixes when Chargebee's API changes.
Pros Cons Free, open source and fully self-hosted Community-maintained tap, so fixes are on you Pipelines defined in code and version-controlled CLI-first, with no managed option to fall back on Works with dbt for modelling Product Catalog support depends on the tap variant
What should you check before syncing Chargebee? Chargebee looks like a simple API source, but a few details decide whether the numbers in your warehouse match the ones in Chargebee:
Product Catalog version: sites created from May 2021 use Product Catalog 2.0, where plans and addons become items and item prices. A tool built for 1.0 will miss or misread your catalogue, and MRR models depend on it.Deleted and archived records: subscriptions, customers and invoices can be deleted or archived. Check whether the tool can include deleted records, or your warehouse will keep counting them.Custom fields: most Chargebee sites add custom fields to customers and subscriptions. Confirm they come through as columns rather than being dropped.Test and live sites: Chargebee keeps test and live data in separate sites, and some companies run several live sites. Plan one connection per site and label the data so it is never mixed.API limits and sync frequency: Chargebee applies API rate limits per site, so incremental syncs that request only changed records keep large backfills and frequent schedules within them.Pricing against churn: billing tables change every day. Row- or event-based pricing grows with that activity, so model cost on your real change volume, not your table sizes.Chargebee exposes its billing data through a REST API. The objects that matter most for analysis are:
Subscriptions: status, term dates, billing period, plan or item price and quantity, which underpin MRR, churn and expansion reporting. Customers: account records, billing addresses, payment method summaries and custom fields used for segmentation. Invoices and credit notes: line items, discounts, taxes and amounts due, which feed revenue recognition and collections analysis. Transactions: successful and failed payments, refunds and retries, used to track involuntary churn and dunning performance. Product catalogue: items, item prices and coupons on Product Catalog 2.0, or plans and addons on 1.0. Events and usage: the activity log of subscription changes and metered usage for consumption-based billing. Because these objects reference each other, most teams replicate the full set and model the relationships in the warehouse rather than syncing a subset.
How do you start pulling data from Chargebee? If you decide to test Airbyte, setting up a Chargebee pipeline takes three steps.
Step 1: Set up Chargebee as a source In Chargebee, create a read-only API key under Settings, then Configure Chargebee, then API Keys and Webhooks. In Airbyte, open Sources, choose New source and select Chargebee , then enter your site name (the subdomain of your Chargebee URL), the API key, a start date and your Product Catalog version, and run the connection test.
Step 2: Set up a destination Pick where your Chargebee data should land: a cloud warehouse such as BigQuery, Snowflake or Databricks, a database, a data lake, or any other Airbyte destination.
Step 3: Configure the connection Select the streams to replicate, use incremental sync with deduplication so updated subscriptions and invoices replace their earlier versions, and set a sync frequency. The process is the same whether you deploy Airbyte Open Source or start with Airbyte Cloud .
Which Chargebee ETL tool should you choose? Start from where Chargebee sits in your stack. If it is one source among many, and you want control over deployment and cost, Airbyte fits, with Enterprise Flex when billing data has to stay in your own environment. If you want pipelines someone else maintains and can absorb row-based pricing, Fivetran or Hevo. If billing data needs to arrive within seconds, Estuary. For a small, simple setup, Stitch still works, with its future under Qlik in mind. And if your team wants everything in code, Meltano with tap-chargebee.
For a wider view of the market, see our guide to the top data integration tools .
Sync Chargebee to your warehouse with Airbyte Replicate subscriptions, invoices and payments with incremental sync and Product Catalog 2.0 support, next to 700+ other sources, self-hosted, on Airbyte Cloud or with Enterprise Flex.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. What is Chargebee Product Catalog 2.0? It is Chargebee's current catalogue model, used by default on sites created from May 2021. Plans and addons are replaced by items, item prices and attached items, which changes the objects an ETL tool must extract. Sites created earlier may still use Product Catalog 1.0.
2. How do you load Chargebee data into BigQuery? Use a connector-based ETL tool: connect Chargebee with a read-only API key, choose BigQuery as the destination, and run incremental syncs so changed subscriptions and invoices are updated. Airbyte, Fivetran, Estuary and Hevo all support this route.
3. Does Chargebee have a built-in warehouse sync? Chargebee offers reports and CSV data exports, which suit one-off analysis. For ongoing replication into a warehouse with history and incremental updates, most teams use a connector-based ETL tool against the Chargebee API.
4. Is it safe to sync Chargebee payment data into a warehouse? The Chargebee API returns masked payment details rather than full card numbers, but the data still includes personal and billing information covered by privacy rules. Use a read-only API key, restrict warehouse access, and keep the pipeline in your own environment if your policies require it.
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