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The most useful public cloud discounts are not a single ranked list. AWS offers Savings Plans and Reserved Instances; Microsoft Azure offers savings plans, reservations and Azure Hybrid Benefit; Google Cloud offers committed use discounts (CUDs) and automatic sustained use discounts (SUDs); IBM Cloud offers Committed Use and Cloud Reservations; and Oracle Cloud Infrastructure (OCI) offers Universal Credits. The right choice depends on how predictable your usage is, which services are eligible, your region and billing scope, and whether you need flexibility or capacity guarantees.
What “popular” means in this comparison
Provider documentation does not establish an adoption ranking for these offers. They are widely documented public mechanisms, not a measured popularity league table. Advertised savings are maximums or examples under particular service, region, term and usage assumptions. Your realized result can be lower, and a commitment can cost more than pay-as-you-go pricing when usage falls.
At-a-glance comparison
| Provider and offer | Commitment unit and term | Published saving or pricing note | Flexibility and coverage | Capacity effect |
|---|---|---|---|---|
| AWS Compute Savings Plan | Dollar-per-hour commitment; one or three years | Up to 66% off On-Demand for eligible use, according to AWS | Broad coverage across EC2 instance families and regions, plus eligible Fargate and Lambda use | Does not itself reserve capacity |
| AWS EC2 Instance Savings Plan | Dollar-per-hour commitment; one or three years | Up to 72% off On-Demand for eligible EC2 use, according to AWS | Narrower: tied to an instance family and region | Does not itself reserve capacity |
| AWS Reserved Instances | Resource-specific EC2 commitment; term and exchange rules vary by type | AWS lists maximums comparable to Savings Plans: up to 72% for Standard and up to 66% for Convertible in the cited comparison | Less portable than a broad Compute Savings Plan; check current EC2 terms | Check the selected RI and capacity option separately |
| Azure savings plan | Fixed hourly spending commitment; one or three years | Up to 65% from eligible pay-as-you-go prices, according to Microsoft | Applies to eligible compute until the hourly commitment is reached; extra usage remains pay-as-you-go | Discount mechanism, not a capacity reservation |
| Azure reservations | Service/resource reservation; term and scope vary | Not stated as one universal percentage; discount varies by service and term | More restrictive than a savings plan; compatible reservations are applied first | Reservation and capacity behavior depends on the service |
| Azure Hybrid Benefit | Eligible licensing benefit | No single percentage established here | Addresses eligible software licensing costs, which savings-plan compute coverage excludes | Not a capacity reservation |
| Google Cloud CUD | Resource-based or spend-based commitment; typically one or three years | Discount varies by service and commitment type; no single cross-service maximum | Scope can be regional or extend across eligible projects under a Cloud Billing account | Does not itself reserve zonal capacity |
| Google Cloud SUD | No purchase; automatic monthly sustained-use calculation | Up to 30% net discount for some Compute Engine VM resource types at full-month usage | Incremental thresholds; eligibility differs by resource | No capacity reservation |
| IBM Cloud Pay-as-you-go with Committed Use | Platform spending commitment with service-level monthly consumption billing | Up to 17% based on usage commitment, according to IBM | Platform-wide commitment; IBM says discounts continue after the committed amount is reached | Discount commitment, not the same as an advance capacity reservation |
| IBM Cloud Reservations | Advance capacity reservation; one or three years, billed monthly | Discounted pricing; exact rate is quote- and service-dependent | Guaranteed capacity and no upfront payment are described by IBM | Designed to provide guaranteed capacity |
| OCI Universal Credits | Credits usable for IaaS and PaaS across regions | Not stated as a universal percentage in Oracle’s overview | No advance allocation to a particular compute type or service is required | Credit model; capacity terms must be confirmed in the quote |
AWS: Savings Plans versus Reserved Instances
Compute Savings Plans
You commit to a recurring dollar amount per hour and receive lower rates on eligible usage. AWS documents coverage across EC2 instance families and regions, with eligible Fargate and Lambda usage included. AWS lists savings of up to 66% versus On-Demand pricing. That is an upper limit for qualifying usage, not a forecast for your account.
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EC2 Instance Savings Plans
This option keeps the hourly-dollar commitment but restricts the benefit to an EC2 instance family in a region. AWS lists up to 72% off On-Demand for eligible use. The narrower scope can produce a larger published maximum while reducing portability when you change families or regions.
Popular on Amazon
Reserved Instances
Reserved Instances are the more resource-specific EC2 commitment path. AWS’s comparison cites maximums similar to the Savings Plan figures: up to 72% for Standard Reserved Instances and up to 66% for Convertible Reserved Instances. Confirm current exchange, scope and capacity terms for the exact RI before purchasing; those details determine how much flexibility you retain.
Term and planning risks
AWS Savings Plans have one- or three-year terms and cannot be cancelled during the term. They reduce rates but do not reserve capacity. AWS recommendations use historical usage and do not forecast future demand, so select a lookback period that resembles the workload you expect to keep. Reassess after a major migration, architecture change or regional move.
Also popular on Amazon
Azure: savings plans, reservations and licensing
Azure savings plans
An Azure savings plan is a fixed hourly spending commitment for one or three years. Eligible usage receives the discounted rate until that hourly amount is consumed; usage above it is charged at pay-as-you-go rates. Microsoft says savings can reach up to 65% from eligible pay-as-you-go prices. Each hour’s benefit is use-it-or-lose-it: unused benefit cannot roll into a later hour.
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Reservations are more restrictive and generally offer greater discounts for the specific service or resource covered. When a compatible reservation and savings plan are both present, Azure applies the reservation first and uses the savings plan for dynamic eligible usage. Reservation scope, exchange rules and eligible services vary, so compare the exact resource and term rather than relying on a headline rate.
Also popular on Amazon
Azure Hybrid Benefit
Savings-plan compute benefits do not cover software, networking or storage charges. Azure Hybrid Benefit can reduce eligible licensing costs when you already have qualifying licenses; evaluate it separately from the compute commitment.
Agreement and cancellation limits
Microsoft limits savings-plan availability to specified agreement types, and purchases cannot be cancelled or refunded under the cited terms. Verify your billing agreement and cancellation rules before committing.
Also popular on Amazon
Google Cloud: committed use versus automatic sustained use
Committed use discounts
Google Cloud CUDs exchange a minimum resource-use or spend commitment for lower prices. They can be resource-based or spend-based, usually for one or three years. Eligibility and scope vary by service: a commitment may be regional or cover eligible projects under a Cloud Billing account. Commitment fees continue for the term, so paying for unused commitment is a real risk.
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Also popular on Amazon
Sustained use discounts
SUDs are automatic Compute Engine discounts rather than a purchased commitment. For some VM resource types, Google documents up to a 30% net discount when usage spans a full month, with incremental thresholds as usage rises. The calculation resets each month, not each year. Not every resource qualifies, and SUDs do not apply to usage already covered by CUDs.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.IBM Cloud: Committed Use and Reservations
Pay-as-you-go with Committed Use
IBM describes Committed Use as a platform-wide spending commitment with service-level monthly consumption billing. IBM states that customers can save up to 17% based on the usage commitment and continue receiving discounts after reaching the committed amount. Signup requires contacting IBM Cloud Sales, so obtain a current quote that spells out eligible services, billing treatment and any account requirements.
Cloud Reservations
IBM Cloud Reservations are advance capacity reservations with discounted pricing, one- or three-year terms, monthly billing and no upfront payment. IBM describes guaranteed capacity as part of the model. This addresses a different need from a broad spending commitment: use Reservations when capacity assurance matters, and compare the quoted discount with the value of that guarantee.
Oracle Cloud Infrastructure: Universal Credits
OCI Universal Credits can be applied to IaaS and PaaS services across regions without restricting you to one compute type or requiring service allocations in advance. Oracle’s overview does not provide a universal discount percentage or enough comparable rate detail to rank OCI against AWS, Azure, Google Cloud or IBM Cloud. Compare a current OCI quote for the services, regions, term and credit amount your workload actually needs.
How to choose a discount without overcommitting
- Establish the baseline. Review at least several months of billing and usage by service, region, account and project. Separate steady production load from migrations, experiments and seasonal peaks.
- Match the commitment unit. Use an hourly-dollar plan for a broad but predictable baseline, a resource-specific reservation when the same configuration will persist, a spend-based commitment for a portfolio of eligible services, or automatic SUDs when you want savings without signing a term.
- Check eligibility and exclusions. Confirm service families, regions, operating-system or software charges, networking and storage treatment, account scope, and whether existing licenses or discounts change the calculation.
- Model underuse. Include the cost of every committed hour or month if demand drops. Azure’s hourly benefit expires, Google commitment fees continue for the term, and AWS plans cannot be cancelled during the term.
- Separate price from capacity. A discount plan generally lowers the rate; it does not automatically provide compute capacity. IBM Reservations and service-specific reservation mechanisms are different products from spending discounts.
- Test interactions. Azure applies compatible reservations before savings plans. Google SUDs do not apply to usage covered by CUDs. Ask each provider how plans interact with enterprise rates, credits, licenses and other promotions.
- Use current provider tools and quotes. AWS recommendations are based on historical usage rather than a future forecast. Re-run estimates after material architecture changes, and obtain a current commercial quote for enterprise or negotiated terms.
Common mistakes
- Treating “up to” percentages as guaranteed savings.
- Committing a seasonal or temporary workload as if it were a permanent baseline.
- Assuming a discount also reserves zonal or regional capacity.
- Ignoring software, networking and storage charges that a compute benefit excludes.
- Comparing a one-provider maximum with another provider’s typical or quoted rate.
- Skipping agreement, refund, cancellation and billing-scope checks.
Bottom line
Choose the narrowest commitment that reliably matches future eligible usage while preserving the flexibility your workload needs. AWS offers the broadest choice between portable Savings Plans and more specific EC2 commitments; Azure combines hourly savings plans with reservations and licensing benefits; Google separates purchased CUDs from automatic SUDs; IBM distinguishes platform spending commitments from capacity Reservations; and OCI uses a flexible credit model whose discount must be established in a workload-specific quote. Compare the full term cost, underuse exposure, covered services, scope and capacity effect—not just the largest percentage in a product page.
