TL;DR Short answer: Chargify is now Maxio Advanced Billing, but its API, data model and most tooling still use the Chargify name. Chargify ETL tools move customers, subscriptions, invoices, transactions and coupons into a warehouse for MRR, churn and revenue reporting. Airbyte has a Chargify connector with five streams, Maxio's own API, webhooks and exports cover the rest, and ChartMogul adds ready-made subscription analytics. Airbyte's connector runs full refresh syncs, so plan sync frequency around data volume. Eight Chargify ETL tools compared:
Airbyte Maxio Advanced Billing API Maxio webhooks Maxio exports and reporting ChartMogul Native CRM integrations Definite dlt The Chargify constraint: Airbyte's connector supports full refresh syncs only, so each run re-reads every customer and subscription; schedule syncs to match your data volume, or use the API with date filters for incremental loads. Chargify ETL tools extract billing and subscription data from Chargify, now Maxio Advanced Billing, and load it into a warehouse where finance and revenue teams calculate MRR, ARR, churn, expansion and collections alongside CRM and product data. For a comparable billing source, see our guide to Stripe ETL tools .
What happened to Chargify? Chargify vs Maxio Chargify merged with SaaSOptics in 2022, and the combined company took the name Maxio. Chargify's billing product is now called Maxio Advanced Billing, while SaaSOptics' revenue recognition and SaaS metrics capabilities became part of Maxio's financial operations platform. For data teams, the practical effects are:
Same API: the Advanced Billing API is the Chargify API, so existing integrations and connectors named Chargify keep working.Same login and domain: sites still use your Chargify subdomain, which most connectors need for configuration.Mixed naming: documentation, SDKs and connectors use Chargify and Maxio interchangeably, so search for both.Broader platform: Maxio adds revenue recognition, financial reporting and SaaS metrics on top of billing.Every Chargify ETL tool reads the same billing objects:
Customers: billing contacts, organisations and references to your CRM or app records.Subscriptions: product, state, current period, next billing date, cancellation details and components.Invoices and transactions: invoice lines, payments, refunds, credits and adjustments.Products and price points: product families, products, components and pricing.Coupons: discounts and their usage.Events: subscription state changes and billing activity, for reconstructing timelines.How do the Chargify ETL tools compare? Tool Approach Data covered Best for Cost Airbyte Connector, full refresh Customers, subscriptions, invoices, transactions, coupons Billing data next to CRM and product data Free self-hosted Core; paid Cloud plans Advanced Billing API Custom code with SDKs Every billing object Full control and incremental loads Free, engineering time Webhooks Real-time push Subscription, payment and invoice events Event-driven pipelines Included with Maxio Exports and reporting Built-in exports Most billing objects Quick manual analysis Included with Maxio ChartMogul Subscription analytics Derived MRR, churn and cohorts Ready-made SaaS metrics Free tier, then paid plans CRM integrations Native sync Billing data on CRM records Sales and success visibility Included with Maxio plans Definite Managed analytics platform Modelled billing objects Teams wanting analytics without building a stack Subscription plans dlt Python REST API source Any API endpoint Python teams loading a warehouse Free, open source
Which Chargify ETL tools should you consider? Eight Chargify ETL tools, from connectors to Maxio's own features:
1. Airbyte Airbyte is the open-source data connectivity platform for AI and analytics, and among Chargify ETL tools it has a ready-made connector. Its Chargify source syncs five streams, customers, subscriptions, invoices, transactions and coupons, using your API key and Chargify domain. It runs full refresh syncs, so each sync re-reads the full dataset rather than only changes. For more ELT options, see our guide to ELT tools .
Billing data then lands next to CRM, support and product data from 700+ other connectors, which is what MRR and churn analysis usually needs. Airbyte runs in Airbyte Cloud, in your own environment with Airbyte Flex, or self-hosted with Airbyte Core.
Key features Core streams: customers, subscriptions, invoices, transactions and coupons.Simple setup: an API key and your Chargify domain.Low-code connector: built on Airbyte's declarative framework and editable in the Connector Builder.Any destination: Snowflake, BigQuery, Databricks, Redshift, Postgres and more.Best for: teams that want Chargify billing data in their own warehouse with minimal setup.
Pricing: self-hosted Airbyte Core is free; Airbyte Cloud is billed on volume, and Pro and Airbyte Flex on capacity.
Pros Cons Five core billing streams Full refresh only Billing next to CRM and product data No delete replication Cloud, Flex or self-hosted Core Large accounts need sync scheduling
2. Maxio Advanced Billing API For teams outgrowing packaged Chargify ETL tools, the Advanced Billing API, still the Chargify API under the hood, exposes every billing object, from subscriptions and components to events, invoices and price points, and Maxio publishes official SDKs in several languages. It supports date-filtered list calls, which makes incremental loading possible. For other API pipelines, see our guide to REST API ETL tools .
Key features Full coverage: subscriptions, components, events, invoices, payments and catalogue objects.Official SDKs: client libraries in several languages.Filtering: list endpoints filter by date and state.Events endpoint: a complete history of subscription changes.Best for: engineering teams that need objects or incremental logic packaged connectors lack.
Pricing: free with your Maxio account; you pay for engineering and infrastructure.
Pros Cons Every billing object You own scheduling, state and retries Date filters for incremental loads Rate limits to respect Official SDKs Ongoing maintenance
3. Maxio webhooks Maxio webhooks are the real-time option among Chargify ETL tools: they post an event to your endpoint whenever a subscription is created, renewed, cancelled or changes state, and when payments succeed or fail and invoices are issued. They are the real-time complement to batch syncs, used for dunning alerts, provisioning and live dashboards.
Key features Subscription events: signups, renewals, cancellations, state changes and component changes.Payment events: successes, failures and refunds.Invoice events: issued, paid and voided invoices.Retries: failed deliveries are retried.Best for: event-driven pipelines such as dunning, provisioning and live revenue alerts.
Pricing: included with your Maxio plan.
Pros Cons Real time Requires your own endpoint Fine-grained event types No historical backfill Signed payloads for verification Events need storing and modelling
4. Maxio exports and reporting Before reaching for Chargify ETL tools, note that Maxio includes built-in reports and analytics, and lets you export subscriptions, invoices, transactions and other objects as files. Exports suit one-off analysis and audits, while the built-in reports cover standard SaaS metrics without any pipeline.
Key features Data exports: download billing objects as files.Built-in analytics: revenue and subscription reporting inside Maxio.Revenue recognition: available on Maxio's broader financial operations platform.Filters: narrow exports by date, product or state.Best for: finance teams that need occasional exports or standard metrics without a warehouse.
Pricing: included with your Maxio subscription, with no separate export fee.
Pros Cons No setup Manual rather than scheduled Standard SaaS metrics built in Hard to join with other data File exports for audits Not suited to continuous pipelines
5. ChartMogul ChartMogul is one of the Chargify ETL tools aimed at metrics: a subscription analytics platform that connects to Chargify and calculates MRR, ARR, churn, expansion and cohorts automatically, with an API and exports for moving the results elsewhere. It suits teams that want metrics without building models. For more on ChartMogul data, see our guide to ChartMogul ETL tools .
Key features Chargify integration: imports customers, subscriptions and invoices.Metrics: MRR movements, churn, LTV and cohorts.Segmentation: slice metrics by plan, country or custom attributes.API and exports: move metrics into other tools.Best for: SaaS teams that want subscription metrics without modelling them.
Pricing: a free tier for smaller businesses, then paid plans.
Pros Cons Ready-made SaaS metrics Derived metrics, not raw billing records Combines several billing systems Another platform to manage Free tier to start Pricing grows with revenue tracked
6. Native CRM integrations Maxio's Salesforce and HubSpot integrations sync billing data onto CRM records, so sales and customer success teams see subscription status, invoices and usage where they work. They complement rather than replace a warehouse pipeline. For CRM-side tools, see our guide to HubSpot ETL tools .
Key features Salesforce: billing data on accounts and opportunities.HubSpot: subscription details on companies and deals.Automated sync: keeps CRM records current.Quoting: some workflows support creating subscriptions from the CRM.Best for: teams that want billing context inside their CRM.
Pricing: included with eligible Maxio plans.
Pros Cons Billing data in the CRM Not an analytics pipeline No extra tooling Limited to supported CRMs Helps sales and success teams Field mapping needs care
7. Definite Definite is one of the newer Chargify ETL tools, a managed analytics platform with a Chargify connector that models data into business objects such as customers, product families, subscriptions, invoices and events, and lets teams query it with SQL or in plain English. It suits small teams that want analytics without assembling a warehouse stack.
Key features Chargify connector: syncs eleven objects into modelled tables.Warehouse included: no separate warehouse to manage.AI querying: ask questions in plain English.Dashboards: build reports on the synced data.Best for: small teams that want Chargify analytics without building infrastructure.
Pricing: subscription plans; check current pricing.
Pros Cons Modelled business objects Another platform rather than your own warehouse SQL and natural-language querying Subscription pricing Fast setup Less control than a custom stack
8. dlt dlt is an open-source Python library whose REST API source can page through Chargify endpoints and load the results into DuckDB, BigQuery, Snowflake or Postgres. Combined with the API's date filters, it supports incremental loading that full refresh connectors lack. For more code-first options, see our guide to Python ETL tools .
Key features Declarative REST source: endpoints and pagination are configuration.Incremental: load only records updated since the last run.Merge on ID: update changed subscriptions instead of duplicating them.Many destinations: DuckDB locally, warehouses in production.Best for: Python teams that need incremental Chargify loads.
Pricing: free and open source under the Apache 2.0 licence; you pay for where it runs.
Pros Cons Incremental loading with date filters You write and schedule the pipeline Schema inference Requires Python skills Free and open source Rate limits are yours to handle
Chargify vs Stripe Billing and other alternatives: what changes for your data? Teams comparing Chargify with alternatives usually care about how easy the data is to analyse as well as billing features:
Stripe Billing: payments and billing in one platform, with broad connector support and Stripe's own data exports, which suits product-led companies already on Stripe Payments.Chargebee: subscription billing with strong revenue operations features and wide connector coverage.Recurly: subscription billing focused on consumer and media subscriptions, with detailed churn and recovery data.Zuora: enterprise subscription management with complex pricing, usage and revenue recognition.Orb: usage-based billing for products priced on consumption, with event-level data.Whichever you choose, the analytics pattern is the same: replicate billing objects into a warehouse and model MRR there. For a popular alternative, see our guide to Chargebee ETL tools .
What should you check before syncing Chargify data? Whichever Chargify ETL tools you choose, check these first:
Sync mode: full refresh connectors re-read everything, so schedule them to match volume, or use the API's date filters for incremental loads.Multiple sites: Chargify accounts can have several sites, each with its own domain, so configure one source per site.Currencies: sites and subscriptions can bill in different currencies, so convert before summing revenue.MRR definitions: decide how to treat discounts, one-off charges, trials and paused subscriptions before modelling MRR.Deletes and archiving: removed records may not replicate, so reconcile totals against Maxio's reports.Key security: use a dedicated API key and store it in a secrets manager.How do you start pulling Chargify data with Airbyte? If you decide to test Airbyte, setting up a Chargify pipeline takes three steps.
Step 1: Get your API key and domain In Chargify, create an API key under your site's integrations settings, and note your site's subdomain.
Step 2: Set up Chargify as a source In Airbyte, open Sources, choose New source, select Chargify and enter the API key and domain.
Step 3: Set up a destination and connection Pick a destination, such as Snowflake, BigQuery or Postgres, select streams and schedule syncs. The process is the same whether you start with Airbyte Cloud or run self-hosted Airbyte Core .
Which Chargify ETL tool should you choose? Choosing between Chargify ETL tools depends on how much you want to build. For billing data next to CRM and product data in your warehouse, start with Airbyte, and add dlt or the API for incremental loads at scale. For real-time events, use webhooks. For ready-made SaaS metrics, ChartMogul or Maxio's own reporting are quickest, and the native CRM integrations give sales teams billing context. For accounting data to reconcile against, see our guide to QuickBooks ETL tools .
Load Chargify data with Airbyte Sync Chargify customers, subscriptions, invoices and transactions into the same warehouse as your CRM and product data with Airbyte, 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 Chargify ETL tools? Airbyte has a Chargify connector for loading billing data into a warehouse, and the Advanced Billing API with dlt supports incremental loads. Webhooks cover real-time events, ChartMogul and Maxio's reporting provide ready-made metrics, and the native CRM integrations sync billing data to Salesforce and HubSpot.
2. Is Chargify the same as Maxio? Yes. Chargify merged with SaaSOptics in 2022 to form Maxio, and Chargify's billing product is now called Maxio Advanced Billing. The API and integrations still use the Chargify name.
3. Does Airbyte support Chargify? Yes. Airbyte's Chargify source syncs customers, subscriptions, invoices, transactions and coupons with full refresh syncs, using an API key and your Chargify domain.
4. How do I calculate MRR from Chargify data? Load subscriptions, components and invoices into a warehouse, normalise each subscription's recurring charges to a monthly amount, then track new, expansion, contraction and churned MRR month by month.
5. Can I get Chargify data in real time? Yes, through webhooks, which send subscription, payment and invoice events as they happen. Batch connectors are better for full historical analysis.
Suggested reads Stripe ETL Tools
Chargebee ETL Tools
Recurly ETL Tools
Zuora ETL Tools
