How to migrate off Stripe Billing without replacing Stripe Payments


Lago has carved out a meaningful position in the billing infrastructure space as an open-source option for usage-based billing. With its AGPLv3 open-source core and a range of deployment arrangements spanning self-hosted, Lago Cloud, cloud-prem, and virtual private cloud, Lago appeals to teams prioritizing vendor independence and control over where billing data lives. However, as companies scale their billing operations, many find that operating a self-managed billing stack shifts infrastructure responsibility, capacity planning, upgrades, and reliability engineering onto their own team.
For organizations that want managed infrastructure with enterprise-grade pricing execution, this guide examines seven Lago alternatives through the lens of usage-based billing maturity, AI company support, and financial operations readiness.
Orb stands apart as a revenue design platform built for companies with complex, evolving pricing models. Its query-based architecture treats invoices as deterministic outputs of queries over stored usage events, and it supports usage-based, seat-based, and hybrid models on the same foundation. That design lets Orb treat pricing as a strategic function integrated across product, finance, and go-to-market teams rather than a downstream billing chore.
In our assessment, Orb is strongest for AI companies billing for tokens and compute, cloud infrastructure providers with multi-dimensional usage, and developer platforms transitioning from seat-based to consumption models. Vercel reduced the time required to build and launch billing for new products by 80% and got Orb operational in three weeks. Stytch cut the time spent processing bills and invoicing by 75%, rolled out in two weeks, and saved roughly eight hours per month of billing work. Replit implemented Orb in one month with one engineer, made late pricing changes ahead of its Autoscale launch, and uses Orb as a source of truth for itself and its customers; separately, Orb states on its Enterprise page that Replit saw 40x revenue growth since using Orb to monetize usage.
Orb provides a native NetSuite integration that creates standard NetSuite transaction objects, including invoices, credit memos, customer deposits, payments, and sales orders, rather than untraceable summary lines, and supports direct mapping to existing NetSuite items. Line-level service periods supply the period dates NetSuite's ARM uses, with existing ARM logic and recognition policy remaining in NetSuite. Orb's own revenue reporting covers recognized, deferred, and unbilled revenue with a methodology designed to accord with ASC 606 guidelines, recognizing usage-based revenue as usage occurs and preserving lineage from summary entries through invoices to underlying events. Accounting period locks prevent closed-period reports from changing, with relevant corrections handled as catch-up treatment in a later open period. Beyond the ledger, Orb's finance workflows include AR aging reporting, configurable dunning, native invoicing, and integrations with Stripe, Salesforce, QuickBooks, Bill.com, tax systems, and data warehouses.
Orb publishes Core, Advanced, and Enterprise tiers, all of which use custom pricing. Orb states that pricing is based primarily on billings and events, with an additional platform fee covering the extra functionality and support in Advanced and Enterprise. Support is offered at Basic, Premium, and Dedicated levels, and Orb's Enterprise positioning includes dedicated support, enterprise-grade SLAs, code audits, and production readiness reviews.
Orb's query-based billing architecture stores usage events immutably in its standard ingestion workflow and computes invoices by querying that history. This enables retroactive price evaluation against stored events, audit-safe amendments and backfills, and line items traceable to the underlying events and configuration, without depending on mutable ingestion-time counters. At extreme volume, Orb's hosted rollups preaggregate configured measures in real time, sustaining ingestion loads of 1 million+ events per second. Combined with Orb Simulations, which is built into the platform rather than assembled from spreadsheets and one-off analysis, this gives finance teams an unusually direct path from pricing hypothesis to modeled revenue impact to production rollout.
Metronome, now part of Stripe following an acquisition completed on January 14, 2026, is a usage-based billing platform and a natural fit for organizations already embedded in the Stripe ecosystem. Stripe did not disclose the transaction value.
In our assessment, Metronome fits companies processing large token volumes for AI inference, organizations already using Stripe for payments that want unified billing, and enterprises that value a platform with publicly referenced customers including OpenAI and Anthropic.
The acquisition means Metronome's roadmap now aligns with Stripe's broader strategy. Stripe describes Metronome as a product purpose-built for sophisticated usage-based billing that is available as an add-on to Stripe Billing, and its feature page notes that some Metronome-powered capabilities carry additional cost. Commercial terms depend on the customer's specific Stripe and Metronome arrangement.
In our assessment, teams not using Stripe for payments capture less of the primary integration advantage, and the platform's roadmap now follows Stripe's direction. Organizations that want payment processor flexibility and an independent billing vendor will find more optionality with Orb, which runs its billing engine alongside existing invoicing and payment providers as well as its own.
Chargebee brings over a decade of subscription management maturity to the billing space. Chargebee reported 27 consecutive quarters as G2's number-one platform in the Subscription Management category as of the Winter 2026 reports, positioning it as a stable choice for subscription-first organizations adding usage components.
In our assessment, Chargebee suits SaaS companies with subscription-first models adding usage-based components, mid-market organizations that want transparent published pricing, and teams that need mature dunning and collections workflows.
Chargebee's heritage and center of gravity remain subscription management, and its current materials span subscription, usage, hybrid, credit-based, and outcome-based pricing. Chargebee provides ASC 606 and IFRS 15 revenue recognition through Chargebee RevRec, which is integrated with its broader billing platform and documented as a dedicated revenue-recognition capability. Teams that want SQL-defined billable metrics, built-in pricing simulation, and native recognized, deferred, and unbilled revenue reporting on a single managed platform will find that combination in Orb.
Zenskar positions itself as a finance-led billing platform with AI-powered capabilities for contract ingestion and revenue recognition. The platform targets organizations where finance teams drive billing decisions rather than engineering.
In our assessment, Zenskar fits finance-led organizations that need AI contract ingestion, companies with complex enterprise deals requiring automated billing term extraction, and teams prioritizing built-in revenue recognition over custom metric flexibility.
Zenskar uses custom pricing requiring sales engagement. Zenskar states that implementation typically ranges from two to four weeks for small teams, four to ten weeks for medium businesses, and eight to sixteen weeks for enterprises, with 24/7 support through email, Slack, and Zoom, and its buyer's guide describes guided onboarding.
Zenskar's documented strengths cluster around contract-to-invoice workflows and finance-owned configuration. Teams with engineering-led billing processes, or those that need SQL-level control over metric definitions, will find that depth in Orb's custom billable metrics, which are expressed fully in SQL over stored events.
Maxio is the combination of Chargify (billing engine) and SaaSOptics (financial analytics). The two companies merged in 2021, and the combined company unveiled the Maxio brand in April 2022, creating a unified platform for billing and SaaS metrics.
In our assessment, Maxio serves mid-market SaaS companies that want unified billing and financial reporting, finance teams that need integrated MRR and ARR analytics, and organizations that prefer predictable published platform pricing.
Maxio's usage-based capabilities have expanded substantially, and its multi-attribute pricing supports up to four attributes. Orb's dimensional price groups support any number of configured dimensions while reusing a single billable metric, all on managed infrastructure.
Hyperline is an EU-founded billing platform, with offices identified in Paris and New York, that combines European compliance depth with a globally marketed feature set.
In our assessment, Hyperline fits European SaaS companies that prioritize regional compliance expertise, organizations with multi-currency and multi-entity billing requirements, and teams that want invoicing compliance across many jurisdictions.
Hyperline markets a global billing platform rather than a strictly regional one, so the relevant question is fit rather than geography. For organizations whose requirements center on enterprise-scale metering, pricing that spans many simultaneous dimensions, and ASC 606-aligned revenue reporting, Orb delivers that combination on managed infrastructure.
Flexprice is an open-source usage-based billing platform available both as a self-hostable core and as a managed cloud service, targeting AI, API, SaaS, startup, and enterprise workloads.
In our assessment, Flexprice suits teams that want an open-source or self-hosted billing core with a managed option available, startups implementing their first usage-based billing, and API or AI companies that value API-first integration.
Flexprice's open-source core and managed option suit teams whose priority is deployment flexibility. Organizations that want built-in pricing simulation against historical usage, billable metrics defined fully in SQL, and enterprise-scale metering delivered as managed infrastructure will find that depth in Orb, backed by enterprise SLAs and production readiness reviews.
When evaluating Lago alternatives, the decision often comes down to a practical question: how much deployment and vendor control does your organization need, and how much pricing execution capability and managed operational depth would you otherwise build and maintain yourself?
Orb's query-based billing architecture stores usage events immutably and derives invoices as deterministic query outputs. In practice this supports:
At extreme volume, Orb's hosted rollups preaggregate configured measures in real time, sustaining ingestion loads of 1 million+ events per second on managed infrastructure.
Orb's Simulations are a first-class, built-in part of the platform. Finance teams model pricing changes against actual historical usage, compare multiple hypothetical scenarios, and review forecasted revenue and customer impact by plan, cohort, and individual customer before anything reaches production.
Several platforms in this guide offer some form of pre-production testing: Maxio advertises built-in backtesting, Flexprice advertises a sandbox, and Lago documents configuration-driven pricing experiments alongside usage forecasting. The details that matter in a real evaluation are the historical period covered, customer-level granularity, invoice replay fidelity, cohort segmentation, and the specific revenue-impact outputs produced. In our assessment, Orb's publicly documented simulation workflow is the most detailed of the platforms reviewed here.
Lago supports UI-based and API-based configuration and multiple metering-source types, including SQL-based sources, and Chargebee supports configurable subscription, usage, hybrid, credit-based, and custom metering models. What distinguishes Orb is that a billable metric is itself defined fully in SQL over raw usage events. Orb documents support for:
Paired with dimensional price groups, which support any number of configured dimensions, this covers a wide range of billing logic in configuration rather than code.
Orb states that its enterprise platform is regularly stress-tested at 250,000+ events per second, with direct API ingestion supporting workloads well into the thousands of events per second, bucket sync recommended above roughly 10,000 events per second sustained, and hosted rollups running in production at 1 million+ events per second. All of that runs on managed infrastructure. Lago supports event metering and offers managed cloud and VPC options alongside self-hosting. The decision-relevant difference for AI companies billing tokens and API providers handling large call volumes is who carries the operational burden: with a self-managed deployment, capacity planning, upgrades, and reliability engineering are yours, whereas Orb's managed platform absorbs them and backs them with enterprise SLAs and production readiness reviews.
Orb's published customer results demonstrate measurable impact:
For organizations moving beyond a self-managed billing deployment, or looking for built-in pricing simulation and SQL-defined metrics on managed infrastructure, Orb offers a well-documented path to enterprise-grade usage-based billing. Evaluate it against the specific criteria in this guide: throughput under your own payload profile, deployment and data-residency requirements, metric expression language, pricing-model support, revenue accounting packaging, data retention and replay behavior, integration coverage, and implementation scope.
Orb and Lago take different approaches to deployment and packaging. Lago offers an open-source AGPLv3 core with self-hosted, managed cloud, cloud-prem, and VPC deployment options, which appeals to teams prioritizing vendor independence and hosting control. Orb is a managed platform, and its documented differentiators include Simulations that replay proposed pricing against historical usage and return forecasted revenue and customer-level impact, billable metrics defined fully in SQL, and an enterprise platform regularly stress-tested at 250,000+ events per second with hosted rollups in production above 1 million events per second. The distinction is deployment and licensing control on one side against managed operations plus that feature set on the other. Lago also documents pricing experiments and usage forecasting, so the comparison is best framed around the specific simulation workflow you need.
Orb's dimensional price groups support pricing across multiple usage dimensions, such as region, instance type, and environment, using a single pricing configuration for dimension combinations.
Orb provides native integrations across the finance stack. The NetSuite integration creates standard NetSuite transaction objects such as invoices, credit memos, customer deposits, payments, and sales orders rather than untraceable summary lines, and supports direct mapping to existing NetSuite items. Orb also integrates with Stripe and other payment and invoicing providers, Salesforce for CRM workflows, QuickBooks, Bill.com, tax systems, and data warehouses. Its finance workflows include AR aging reporting, configurable dunning, and native invoicing, and customers can either use Orb Invoicing or run Orb's billing engine alongside an existing invoicing provider. Implementation is supported by SDKs for Python, TypeScript, Go, Java, Kotlin, and Ruby with built-in idempotency, retries, and pagination, plus an OpenAPI specification.
Orb's revenue reporting covers recognized, deferred, and unbilled revenue, using a methodology designed to accord with ASC 606 guidelines and recognizing usage-based revenue based on when usage occurs. Reports preserve lineage from summary entries through invoices to the underlying usage. Accounting period locks keep prior closed-period reports stable, with relevant corrections handled as catch-up treatment in a later open period, and line-level service periods on invoices supply the period dates NetSuite's ARM consumes while recognition policy stays with your finance team.
Orb's managed infrastructure removes the deployment and maintenance work a self-managed stack requires, and implementation time depends on scope. Orb documents a 30-minute test-mode quickstart, and its published production timelines range from two weeks for Stytch and three weeks for Vercel to one month for Replit and three months for Pinecone, the latter including testing and invoice comparison. Actual duration depends on data instrumentation, integrations, pricing complexity, validation requirements, and rollout method. Published timelines elsewhere vary just as widely: Zenskar cites two to sixteen weeks depending on company size. Any comparison should control for migration volume, contracts, tax, ERP, revenue recognition, historical data, payment processing, and required parallel runs.
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