TL;DR Short answer: the best Zuora ETL tools start with Zuora's own exports. Zuora Secure Data Share gives Snowflake users read-only, incrementally updated views with no pipeline to run, and Zuora's connectors for data warehouses push data to Redshift, BigQuery, Databricks, Postgres and object storage. Third-party tools fill the gaps, from managed connectors to custom builds on the Data Query API. Seven Zuora ETL tools compared:
Airbyte Zuora Secure Data Share Zuora connectors for data warehouses Fivetran Boomi Zuora reporting Custom code with the Zuora API The Zuora constraint: billing data is large, highly relational and sensitive, and bulk exports run as asynchronous jobs, so choose a route that keeps history, custom fields and PCI exclusions intact. Zuora ETL tools and Zuora integrations move accounts, subscriptions, rate plans, invoices, payments and usage out of Zuora and into a cloud data warehouse . Finance and revenue operations teams use them to calculate ARR, churn and cohort revenue alongside CRM and product data.
Why use Zuora ETL tools instead of Zuora reporting? Zuora reporting covers subscriptions, invoices, payments and revenue inside Zuora. Finance teams usually need more: ARR and churn joined with CRM pipeline and product usage, revenue reconciled against the general ledger, and history modelled their own way. That needs Zuora data in a warehouse, which is what Zuora ETL tools are for.
How do the Zuora ETL tools compare? Tool Best for Sync method Deployment Pricing model Airbyte Zuora next to other sources, built your way Custom connector on the Data Query API Airbyte Cloud, Airbyte Flex, self-hosted Airbyte Core Free self-hosted Core; Cloud volume-based; Pro and Flex capacity-based Secure Data Share Snowflake users Read-only shared views, updated incrementally Your Snowflake account Per-tenant licence Zuora connectors Non-Snowflake warehouses and storage Zuora-managed exports Zuora-managed Zuora add-on Fivetran Managed warehouse pipeline Scheduled sync Cloud, hybrid Monthly active rows Boomi Operational sync between systems Integration processes Cloud, hybrid Platform subscription Zuora reporting In-app finance reports Built-in Inside Zuora Included, by plan Custom code Exact control Data Query and AQuA jobs Wherever you run it Free, engineering time
Which Zuora ETL tools should you consider? Seven Zuora ETL tools, from native exports to custom builds:
1. Airbyte Airbyte is the open-source data connectivity platform for AI and analytics. Its earlier prebuilt Zuora source was retired in 2024, so Airbyte is the build-your-own option: Connector Builder lets you define streams against Zuora's Data Query API, with OAuth client credentials, your tenant endpoint and incremental filters on updated dates, then run it like any other connector. For other ELT options, see our guide to ELT tools .
The advantage is that Zuora lands next to CRM, product and payments data from Airbyte's 700+ connectors, with automatic retries, in Airbyte Cloud, in your own environment with Airbyte Flex, or self-hosted with Airbyte Core. The trade-off is that you own the connector definition.
Pros Cons Zuora next to 700+ other sources No maintained prebuilt Zuora connector Connector Builder for a custom Zuora source You define and maintain the streams Cloud, Flex or self-hosted Core deployment Data Query jobs are asynchronous and slower
2. Zuora Secure Data Share Zuora Secure Data Share for Snowflake is the most direct route for Snowflake users. Zuora shares read-only views of your tenant into your own Snowflake account, updated incrementally, so there is no pipeline to build and no data to copy. PCI columns are excluded, newly added custom fields can take up to 24 hours to appear, and it is licensed per tenant. For warehouse options, see our guide to Snowflake ETL tools .
Pros Cons No pipeline to build or run Snowflake only Incremental, read-only views Per-tenant licence Schema aligned with Data Query New custom fields can lag up to 24 hours
3. Zuora connectors for data warehouses Zuora's connectors for data warehouses export your tenant to Redshift, BigQuery, Databricks, ClickHouse, Postgres, MySQL, SQL Server, Athena and object storage such as S3, GCS and Azure Blob. Zuora manages the export, and it recommends warehouses and object storage for high volumes. Check availability with Zuora, as the feature has been in early availability.
Pros Cons Zuora-managed exports Availability depends on your Zuora contract Many warehouses, databases and storage targets Zuora data only Suited to high-volume tenants OLTP targets are slower for large datasets
4. Fivetran Fivetran is a managed ELT service: its connector replicates Zuora into a warehouse, and its Zuora dbt package builds staging and billing models on top. It suits teams already running Fivetran for CRM and finance sources. For CRM-side pipelines, see our guide to Salesforce ETL tools .
Pros Cons Fully managed, with a dbt package Monthly active row pricing grows with invoices and usage Analysis-ready billing models Connector behaviour cannot be modified Same platform as other Fivetran sources Warehouse-only destinations
5. Boomi Boomi is an integration platform with a Zuora connector for subscription, invoice, payment and account data. It suits operational flows, such as syncing Zuora with an ERP or CRM, rather than warehouse analytics. Teams reconciling billing with accounting should also see our guide to NetSuite ETL tools .
Pros Cons Bidirectional sync with other systems Built for operations, not analytics Covers billing and payments objects Platform subscription pricing Automates quote-to-cash steps Requires integration design work
6. Zuora reporting Before choosing Zuora ETL tools, check the built-in options. Zuora includes reports and dashboards on subscriptions, invoices, payments and revenue, plus Data Query in the interface for ad hoc SQL. They answer most billing questions, but they cannot join Zuora with CRM or product data automatically.
Pros Cons Built in, with no extra tools Cannot be joined with other systems automatically Ad hoc SQL with Data Query Limited to Zuora's data model Subscription and revenue views Depth depends on your plan
7. Custom code with the Zuora API When no Zuora ETL tools fit a narrow need, you can call the API yourself. Data Query runs asynchronous, read-only SQL against your tenant, and the AQuA API exports whole objects in bulk, with jobs stopped after eight hours and retried up to three times. You authenticate with an OAuth client created by a Zuora admin and own scheduling, retries and schema changes. For other billing systems, see our guides to Stripe ETL tools and Chargebee ETL tools .
Pros Cons Full control over queries and objects Asynchronous jobs to poll and manage Data Query SQL and AQuA bulk exports AQuA jobs stop after eight hours No licence cost Ongoing maintenance
How does the Zuora API work for data export? Zuora offers two export APIs. Data Query runs read-only SQL as an asynchronous job: you submit a query, poll until it finishes, then download the results. The AQuA API exports whole objects in bulk and supports incremental exports, but long jobs are stopped after eight hours. Both use OAuth client credentials from a dedicated API user, and the endpoint depends on your tenant's region and environment.
What should you check before syncing Zuora? Whichever Zuora ETL tools you choose, most problems come from data model, sensitivity and access. Check these first:
Tenant endpoint: US, EU and sandbox tenants use different API endpoints. Confirm the right one before connecting.API user: create a dedicated API user role and OAuth client with read-only access, as Zuora recommends.Custom fields: custom fields and objects can lag or change type between Data Query and Secure Data Share. Check them after each change.PCI data: payment card fields are excluded or nulled in shares. Keep sensitive payment data out of the warehouse.Relationships: subscriptions, rate plans, charges and invoices are deeply linked. Sync related objects together so revenue models stay consistent.Long jobs: bulk exports can take hours on large tenants. Run backfills off-peak and use incremental exports afterwards.Zuora exposes subscription billing data, including:
Accounts and contacts: customers, bill-to and sold-to details. Subscriptions, rate plans and charges: what each customer pays for and how. Invoices and invoice items: billed amounts, taxes and due dates. Payments, refunds and credit memos: cash collected and adjustments. Usage: metered usage records for usage-based pricing. Products and product catalogue: plans, prices and charge models. How do you start pulling data from Zuora? If you decide to build a Zuora connector in Airbyte, it takes three steps.
Step 1: Build a Zuora source in Connector Builder In Zuora, create a read-only API user and an OAuth client. In Airbyte, open a new connector in Connector Builder, add your tenant endpoint and OAuth client credentials, and define streams for the objects you need using Data Query.
Step 2: Set up a destination Pick where your Zuora data should land, such as Snowflake, BigQuery or Databricks, ideally next to your CRM and payments data.
Step 3: Configure the connection Publish the connector to your workspace, select accounts, subscriptions, invoices and payments, and schedule daily runs. The process is the same whether you start with Airbyte Cloud or run self-hosted Airbyte Core .
Which Zuora ETL tool should you choose? The right Zuora ETL tools depend on your warehouse. On Snowflake, start with Zuora Secure Data Share. On other warehouses, check Zuora's own connectors first, or use Fivetran for a managed pipeline with dbt models. Use Airbyte's Connector Builder when you want Zuora next to everything else on your own terms, Boomi for operational sync, and Zuora reporting for in-app questions.
For a wider view of the market, see our guide to the best data integration tools .
Build a Zuora connector with Airbyte Airbyte is the open-source data connectivity platform for AI and analytics. Use Connector Builder to replicate Zuora into the warehouse you choose, next to your CRM, payments and 700+ other sources, in Airbyte Cloud, in your own environment with Airbyte Flex, or self-hosted with Airbyte Core.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. What are the best Zuora ETL tools? The best Zuora ETL tools depend on your warehouse. Zuora Secure Data Share suits Snowflake, Zuora's own connectors suit other warehouses, Fivetran offers a managed connector, and Airbyte's Connector Builder suits custom pipelines.
2. What is Zuora Secure Data Share? Zuora Secure Data Share for Snowflake shares read-only, incrementally updated views of your Zuora tenant into your own Snowflake account, with no pipeline to run. It is licensed per tenant.
3. Does Airbyte have a Zuora connector? Airbyte's earlier prebuilt Zuora source was retired in 2024. You can build a Zuora source with Connector Builder using the Data Query API and run it alongside Airbyte's other connectors.
4. How does the Zuora API export data? Data Query runs read-only SQL as asynchronous jobs, and the AQuA API exports whole objects in bulk. Both authenticate with OAuth client credentials.
5. Can Zuora export to BigQuery or Redshift? Yes. Zuora's connectors for data warehouses export to BigQuery, Redshift, Databricks, Postgres and object storage, and ELT tools such as Fivetran also load Zuora into these warehouses.
Suggested reads Stripe ETL Tools
Chargebee ETL Tools
Recurly ETL Tools
NetSuite ETL Tools
