Best usage-based billing software for cloud infrastructure

Cloud infrastructure providers can face high-volume billing across dimensions such as compute, storage, network usage, and API activity, and turning that consumption into accurate invoices is its own engineering and finance problem. Subscription-centric and homegrown billing stacks can require additional work for cloud-scale usage, though several platforms have since extended their usage capabilities. The right usage-based billing engine can transform this operational burden into a competitive advantage, enabling rapid pricing iteration and transparent customer experiences.

This guide examines seven usage-based billing platforms through the lens of cloud infrastructure requirements, helping engineering leaders, finance teams, and product managers evaluate options for consumption-based pricing at scale.

Key takeaways

• Raw usage event architecture supports replay and auditable corrections: Platforms that persist granular raw usage events rather than only pre-aggregated data can support replay, re-rating, and auditable corrections, subject to each platform's correction windows, invoice-finalization rules, and accounting controls. Orb explicitly ties its persistent raw-event layer to backfills, backdating, and invoice recalculation.
• Pricing simulations reduce revenue risk: Orb Simulations let teams test pricing scenarios against real product usage data before rollout and compare the customer and revenue impact of alternatives. Simulation capability is available from several platforms in 2026, so the meaningful comparison is simulation depth and the fidelity of the underlying data, and Orb simulates directly against raw usage events rather than pre-aggregated summaries.
• One platform from metering to revenue reporting: Orb covers metering, pricing, subscriptions, invoicing, accounts receivable, and revenue reporting in a single system. Fewer systems in the path from product usage to cash collection means a smaller integration surface, less reconciliation between tools, and one consistent view of usage for product, engineering, and finance.
• Payment gateway flexibility reduces processor concentration: Working with more than one payment processor can reduce processor concentration and make provider changes easier. Orb documents payment platform integrations such as Stripe and states that customers can continue working with their preferred payment-processing partner.
• Implementation timelines vary significantly by scope: Replit got Orb up and running in one month with one engineer, with support on the user interface and wrap-up tasks. Published examples from other platforms vary as well, so named, scoped examples are more informative than generic category timelines.
• SQL-based metrics reduce engineering involvement: Platforms supporting custom SQL queries let finance and product teams define and modify billing metrics without new code deployments, once usage events are flowing into the platform.

1. Orb

Orb stands apart as a revenue design platform that treats pricing as a strategic product function rather than an accounting afterthought. Orb offers dedicated solutions for AI and cloud infrastructure companies while also supporting SaaS, PLG, enterprise, and hybrid seat-plus-usage models, combining real-time usage metering with flexible pricing models and native finance workflows.

Key capabilities for cloud infrastructure

• Custom SQL metrics: Define any billable metric using SQL queries on raw usage events, including aggregations such as averages, maximums, and minimums, which reduces engineering involvement when billable metrics need to change.

• Dimensional price groups: 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.

• Pricing simulations: Run "what-if" analysis on pricing changes using real product usage data before customers see changes, then compare the customer and revenue impact of each alternative with Orb Simulations.

• Backfill and backdating: Apply price changes or usage corrections retroactively, with invoice calculations and credit ledger updates that follow a backfill.

• High-throughput ingestion: Orb's enterprise platform is regularly stress-tested to volumes such as 250,000+ events per second, and Hosted Rollups support continuous ingestion for workloads producing billions of events per day.

Cloud infrastructure use cases

Orb excels for cloud infrastructure providers with complex, multi-dimensional pricing. Its cloud infrastructure and price modeling material describes pricing across dimensions such as compute, storage, region, instance type, API throughput, storage tiers, projects, environments, and other event properties within a single flexible pricing model.

In practice, that means a database-as-a-service provider can price storage and compute separately across regions, an API platform can meter requests by event properties such as endpoint or response characteristics, and an AI infrastructure company can rate token usage, inference time, and model type inside one billing configuration, all without maintaining a separate SKU per combination.

The same foundation handles the pricing layers that accumulate as a cloud business matures: prepaid credits and wallets with expirations and rollovers, minimum commits with overages and true-ups, hybrid platform fees plus usage, and the custom metrics, bespoke tiers, and drawdown structures that arrive with enterprise contracts. Because those structures are configured on top of raw usage events rather than encoded in application code, adding one more enterprise exception does not add another branch to a fragile decision tree.

Vercel, the frontend cloud platform, reports an 80% reduction in the time needed to build and launch billing for new products since implementing Orb, alongside pricing agility across 60+ SKUs. Supabase processes over 1.5 million invoices per month through Orb, and reduced billing fees and leakage by roughly 0.4% of revenue while improving invoice transparency. Materialize describes Orb as its source of truth for usage information and a core building block of its financial processes and systems. Orb also reports that Replit saw 40x revenue growth since using Orb to monetize usage.

Pricing structure

• Core: Real-time event ingestion, SQL-defined metrics, usage alerts, hybrid billing models, invoicing, and tax integrations.

• Advanced: Adds data warehouse sync (Snowflake, Redshift, BigQuery), Salesforce and NetSuite integrations, customer hierarchy support, and premium support.

• Enterprise: Includes enterprise SLAs, dedicated technical support, and quarterly business reviews.

All tiers use custom pricing, with billings and events as the two primary pricing metrics. Advanced and Enterprise plans also include a platform fee.

Why Orb leads for cloud infrastructure

Rather than comparing architectures by label, cloud providers should compare the specific characteristics that determine billing outcomes: raw usage event retention, correction and re-rating semantics, rating model and dimensionality, throughput, and accounting controls. Orb's raw-event architecture means you ingest usage data once and can then redefine billing metrics, apply retroactive price changes, or correct historical usage without re-ingesting events.

Orb's price evolution tools let product and finance teams simulate pricing changes, schedule future price updates, and deploy new models without bespoke migration scripts. Orb describes its Versions and Migrations workflow as making certain price changes possible in minutes rather than weeks. For cloud infrastructure providers where pricing strategy directly affects competitive positioning, this agility translates to faster market response.

Orb also spans the full path from usage to recognized revenue: metering, pricing, subscriptions, invoicing, accounts receivable, and reporting sit in one platform, with clean syncs into ERPs and tax providers. That keeps engineering out of the role of accidental billing team, gives product a pricing surface it can iterate on directly, and gives finance a single source of truth that ties event-level usage to invoice line items and journal entries.

Orb's acquisition by Adyen closed on July 1, 2026. Orb continues to operate as a standalone product, and Orb states that customers can continue working with their preferred payment-processing partner.

2. Metronome

Metronome is a usage-based billing platform that became part of Stripe in January 2026, following an acquisition agreement announced in December 2025. The platform is built around event streaming and supports AI companies with large usage patterns.

Primary focus

• Usage metering: Metronome supports usage event ingestion for workloads that generate large event volumes.

• Prepaid credit management: Commit tracking with rollover, auto-recharge, and complex expiration rules.

• Stripe integration: Metronome integrated with Stripe before the acquisition, and product integration has become deeper since.

• Enterprise contracts: Support for custom enterprise agreements, centralized rate cards, multidimensional pricing, and commit-based pricing.

Cloud infrastructure positioning

Metronome targets companies with high event volumes, particularly AI inference providers billing on tokens or API calls, and its materials describe a product built for large-scale usage ingestion.

Organizational fit

Stripe positions Metronome around sophisticated usage-based and enterprise contracts, cloud marketplaces, and both self-serve and sales-led motions rather than only companies already committed to Stripe payments. Implementation time varies with migration scope. Requirements for additional CRM, ERP, or revenue tooling depend on the surrounding stack, and Metronome added PLG invoicing and cloud-marketplace workflows in 2025 while operating inside a broader Stripe quote-to-cash ecosystem.

A note on this list: Metronome and Stripe Billing are now two product layers within the same Stripe portfolio. They appear as separate entries here because they serve different use cases. Stripe Billing covers subscription and usage billing natively, while Stripe positions Metronome as the product for its more sophisticated usage-based scenarios, including multidimensional pricing, centralized rate cards, enterprise contracts, and cloud marketplaces.

3. Stripe Billing

Stripe Billing extends Stripe's payment platform with subscription and usage-based billing capabilities. The product integrates tightly with Stripe Payments, offering a unified experience for companies already processing payments through Stripe, though that is no longer a prerequisite.

Primary focus

• Payment-first architecture: Billing capabilities built on top of Stripe's payment infrastructure, with subscription and usage-based billing as native parts of the product.

• Developer experience: Documented APIs and SDKs aligned with Stripe's developer-focused approach.

• Global payments: Support for a broad set of currencies and payment methods through Stripe's network, with continued expansion described in its published roadmap.

• Usage metering: Stripe documented a rearchitected usage-based billing system in January 2025 that supports event processing, credits, and complex pricing.

Cloud infrastructure considerations

Stripe Billing works for cloud providers across a range of usage models. By late 2025, Stripe was previewing pricing plans that combine usage rates, dimensional pricing, recurring fees, and credits, and in 2026 the more sophisticated multidimensional and enterprise usage scenarios increasingly route through Metronome as a Stripe product.

Retroactive adjustments and complex billing corrections remain a legitimate evaluation criterion, and they are best assessed against actual correction and re-rating behavior rather than inferred from aggregation alone. Stripe describes its redesign as an event-streaming system that supports billing accuracy when events arrive after the fact.

Organizational fit

Stripe Billing fits cloud infrastructure companies that want billing and payments in one stack. Existing Stripe Payments adoption can simplify integration, and Stripe Billing can also manage subscription payments made through off-Stripe payment processors, including success, failure, refund, and cancellation states. Organizations evaluating the Stripe stack should distinguish core Stripe Billing from Metronome, and should separately evaluate pricing-simulation capability, correction and replay semantics, and event-to-invoice auditability against their requirements.

4. Lago

Lago is an open-source billing platform licensed under AGPLv3. The project provides self-hosted billing infrastructure for companies prioritizing data control and avoiding vendor lock-in, and it publishes a dedicated cloud infrastructure billing guide covering bandwidth, API calls, and data egress.

Primary focus

• Open-source model: Full source code access with self-hosting option.

• Usage-based billing: Event ingestion, aggregation, and invoice generation for consumption models.

• Payment gateway flexibility: Integrations with Stripe, Adyen, and GoCardless.

• Data control: Self-hosting lets companies operate Lago's billing stack and core billing data on infrastructure they control, though external payment, ERP, tax, CRM, or analytics integrations can still transmit relevant data outside that boundary.

Cloud infrastructure positioning

Lago appeals to cloud infrastructure companies with strong opinions about data control and vendor relationships. The platform handles standard usage-based billing workflows including event ingestion, metric aggregation, and invoice generation.

Self-hosting requires infrastructure management overhead, including database administration, scaling, and maintenance. Cloud-hosted options are available for teams preferring managed infrastructure.

Organizational fit

Lago fits engineering-led organizations comfortable managing billing infrastructure and prioritizing open-source tooling. Teams should weigh the operational overhead of self-hosting against the benefits of code transparency and data control, including the ongoing uptime, scaling, security, and compliance responsibilities that come with running billing infrastructure directly.

5. Chargebee

Chargebee combines subscription management with a usage-based billing system, supporting usage and hybrid monetization alongside its subscription lifecycle tooling.

Primary focus

• Subscription and usage management: Subscription lifecycle handling alongside usage event processing, custom metering, and flexible aggregation.

• Payment gateway diversity: Integrations with a broad set of payment gateways.

• Revenue recognition: Revenue-recognition automation is offered through Chargebee's RevRec offering, with packaging that depends on plan.

• Dunning management: Automated payment retry and collection workflows.

Cloud infrastructure considerations

Chargebee's published architecture describes support for usage event ingestion, with batch ingestion available as an option rather than as the only operating model. Cloud providers evaluating Chargebee can therefore focus on dimensional rating, correction and replay semantics, event-level auditability, contract handling, and operational workflow rather than on ingestion throughput alone.

Chargebee also offers an entry-level plan aimed at early-stage companies, with usage-based fees applied as billing volume grows, which provides an accessible starting point for early-stage cloud startups.

Organizational fit

Chargebee fits cloud infrastructure companies that want subscription and hybrid monetization in one platform and that value breadth of gateway and finance tooling. Teams can compare its rating, correction, and audit behavior against dedicated usage-first platforms on the specific pricing models they intend to run.

6. Maxio

Maxio combines billing and analytics capabilities for B2B SaaS companies. The platform emphasizes finance team workflows, revenue recognition automation, and SaaS metrics reporting, alongside a metering capability for event-driven and hybrid usage.

Primary focus

• Finance-led workflows: Revenue recognition, deferred revenue tracking, and GAAP compliance.

• SaaS metrics: Built-in ARR, churn, and growth metrics alongside billing.

• Usage metering: Maxio describes a re-architected metering experience that handles variable usage, event streams, pricing configuration, and invoice generation.

• ERP integrations: Connections to QuickBooks, NetSuite, and accounting systems.

Cloud infrastructure positioning

Maxio targets B2B SaaS companies where finance teams drive billing decisions and need integrated metrics reporting, and its metering product extends that into event-driven and hybrid seat-plus-usage models. Its re-architected metering experience is a more recent addition to the product line, so cloud providers running mission-critical billing may weigh its maturity for that category alongside its finance and analytics strengths.

Organizational fit

Maxio fits cloud infrastructure companies that need revenue recognition automation and SaaS analytics alongside billing operations. Teams can evaluate it against explicit criteria: sustained ingestion throughput, dimensional rating, raw usage event retention and replay, correction windows, prepaid commits, spend controls, and the availability status of its metering capabilities.

7. Zuora

Zuora is an enterprise subscription and consumption monetization platform serving large organizations with complex contract management, multi-entity billing, and enterprise compliance requirements.

Primary focus

• Enterprise contract management: Multi-year contracts, complex amendments, and renewal workflows.

• Global compliance: Multi-currency, multi-entity, and tax compliance across jurisdictions.

• Configurable workflow: Workflow definitions with manual approval tasks for structured change management.

• Enterprise ERP integrations: Connections to enterprise systems including SAP and Oracle.

• Usage monetization: Zuora announced capabilities to meter, rate, and bill high volumes of usage events for consumption-based models.

• Pricing simulation: Zuora offers a pricing simulator that lets teams explore pricing models, test assumptions, and assess potential revenue and financial impact before launch.

Cloud infrastructure considerations

Zuora serves enterprise cloud infrastructure providers with complex contract structures and global operations. Its strength lies in managing large portfolios of enterprise agreements with custom terms, amendments, and renewal cycles, now paired with expanded usage throughput and pricing-simulation tooling.

Traditional enterprise implementations can be lengthy, and Zuora has introduced AI-assisted implementation tooling intended to shorten quote-to-cash deployments. Actual timelines depend heavily on migration scope and systems complexity.

Organizational fit

Zuora fits large enterprise cloud providers with mature finance operations, global compliance requirements, and complex multi-year contract portfolios. Growth-stage companies should consider implementation scope, configuration overhead, and how quickly their teams can iterate on pricing day to day, rather than assuming an absence of usage scale or simulation capability.

Why Orb stands out for cloud infrastructure billing

Cloud infrastructure providers evaluating billing platforms should compare candidates on concrete architectural characteristics: raw usage event retention, correction and re-rating semantics, rating model and dimensionality, throughput, deployment model, and finance controls. On those criteria, Orb's architecture addresses the core challenges cloud infrastructure companies face:

Multi-dimensional pricing without complexity: Orb's dimensional price groups support pricing across multiple usage dimensions, such as region, instance type, and environment, using a single pricing configuration. A cloud database provider can price differently for US-East storage versus EU-West compute without maintaining hundreds of separate SKUs.

Pricing as a product function: Orb Simulations let product teams model pricing changes against real product usage data before rollout and compare the customer and revenue impact of each option. Orb's own comparison of Metronome and Orb sets out where that capability differs from a specific competitor. Once a model is chosen, Orb's price evolution and Versions and Migrations tooling rolls approved changes out without bespoke migration scripts.

Engineering efficiency: Stytch reports a 75% reduction in time spent on billing and invoicing work after implementing Orb. Vercel achieved an 80% reduction in the time needed to build and launch billing for new products. Orb positions its pricing and metering tooling as self-service so finance and product teams can iterate with less dependence on engineering tickets.

Payment flexibility: Orb documents payment platform integrations such as Stripe for credit card and ACH collection, and states that customers can continue working with their preferred payment-processing partner. Retaining processor choice can help cloud providers negotiate processing rates and support regional payment methods.

Finance workflow integration: Orb's native NetSuite integration creates standard transaction records, including invoices, credit memos, and customer deposits, rather than summary imports. Revenue recognition, accounts receivable aging, and month-end close workflows operate on structured data that finance teams can audit and defend.

Three lanes on one foundation: Orb brings billing automation, pricing execution, and revenue growth together on top of granular usage data, which is what Orb calls revenue design. Billing stays accurate at event level even as contracts get complex, pricing can be modeled, tested, and rolled out without destabilizing systems or customer trust, and the same raw usage events feed the analysis that surfaces upsell and packaging opportunities.

Customer trust as an outcome: Because usage detail is preserved rather than discarded, customers can see what drove their bill, and finance can explain any line item back to the events behind it. Opus moved to Orb for accurate credits-based billing and transparent balances after manual invoice calculation drove revenue leakage and support overhead, and Supabase pairs high invoice volume with clearer invoices and reduced billing-related support.

For cloud infrastructure providers where pricing strategy drives competitive positioning, Orb provides the agility to iterate quickly while maintaining the accuracy and compliance finance teams require.

Frequently asked questions

What is usage-based billing software and why is it important for cloud infrastructure?

Usage-based billing software tracks customer consumption events, applies pricing rules, and generates invoices based on actual usage rather than fixed fees. For cloud infrastructure providers, this aligns revenue with the value customers receive, whether they are consuming compute resources, storage, API calls, or bandwidth. The right billing platform handles high-throughput event ingestion, multi-dimensional pricing, and the complex aggregations that cloud workloads may require.

How does usage-based billing software handle complex pricing models common in cloud services?

Advanced platforms like Orb support dimensional pricing, where rates vary based on multiple event properties simultaneously. A single billing configuration can price compute differently by region, instance type, and environment without creating separate products for each combination. Custom SQL metrics let teams define any billable metric, with averages, maximums, and minimums among the documented examples, so aggregations such as percentile bandwidth or average daily storage can be expressed without custom application code.

What are the key benefits of implementing a dedicated usage-based billing solution for cloud infrastructure?

Dedicated usage-based billing platforms can reduce engineering time spent on billing infrastructure, can enable faster pricing iteration without code deployments, and can provide the accuracy and audit trails finance teams need. Results vary with architecture and implementation scope. Cloud infrastructure companies using Orb report meaningful reductions in engineering and operations time, including Vercel and Stytch, while gaining flexibility to adjust pricing as market conditions change.

Can usage-based billing software integrate with existing financial and CRM systems?

Most platforms offer integrations with common business systems. Orb provides a native NetSuite integration that creates standard transaction objects rather than summary imports, Salesforce integration for quote-to-cash workflows, and data warehouse sync to Snowflake and Redshift, with BigQuery among its documented data export destinations. The depth of integration varies by platform tier.

How do usage-based billing platforms ensure accuracy and compliance for financial reporting?

Platforms vary significantly in their approach to accuracy. Orb maintains granular event logs accessible for audit rather than discarding raw usage events after aggregation. This architecture supports retroactive adjustments and historical invoice recalculation, and Orb's revenue recognition tooling lets finance users explore invoices down to the usage event. Accounting period locks prevent retroactive changes to closed periods while flowing later adjustments forward appropriately.

What role does customer transparency play in effective usage-based billing for cloud services?

Transparent usage and spend visibility can reduce billing surprises and may reduce billing-related support volume. Orb's Experience Kit provides customer-facing dashboards with real-time usage visibility and dimensional breakdowns, and spend controls add thresholds and balance alerts. On the internal side, finance teams get event-level invoice traceability and an audit path from financial reporting through invoices to usage, which helps teams answer billing questions with auditable usage data before they escalate.