The Three Programs That Define Enterprise Cloud Pricing
Every major cloud provider has an enterprise commitment program. AWS has the Enterprise Discount Program (EDP). Microsoft Azure has the Microsoft Azure Consumption Commitment (MACC). Google Cloud has Committed Use Discounts (CUDs) combined with Enterprise Agreements. These three programs account for the overwhelming majority of enterprise cloud savings — yet they work in fundamentally different ways, have different flexibility characteristics, and produce very different outcomes.
This article is part of our Cloud Pricing Benchmarks: AWS vs Azure vs GCP Complete Guide. Here we provide a direct, apples-to-apples comparison of all three enterprise commitment programs — what they cost to access, what discounts they deliver, how flexible they are, and critically, how to negotiate them simultaneously to maximize leverage.
Based on analysis of 310 enterprise cloud commitment contracts representing $24.8 billion in aggregate cloud spend, the data is clear: enterprises that negotiate all three programs simultaneously achieve 12-22% better outcomes than those who negotiate them independently. Yet only 34% of enterprises we benchmark approach cloud commitment negotiations in a coordinated, multi-cloud way.
Program Overview: EDP, MACC, and CUD Explained
AWS Enterprise Discount Program (EDP)
What it is: A negotiated agreement where AWS provides discounts in exchange for a minimum annual spend commitment.
Minimum threshold: $1M annual committed spend. Meaningful discounts begin at $5M+.
How it works: EDP discount stacks on top of Reserved Instances and Savings Plans. You commit to minimum spend and receive a discount off all qualifying consumption above that level.
Key characteristic: Must be proactively requested. AWS won't offer EDP unless you ask — or until you're assigned a dedicated enterprise account team, which typically happens at $5M+ annual spend.
Azure MACC (Microsoft Azure Consumption Commitment)
What it is: An Azure-specific commitment mechanism that may be bundled with Microsoft Enterprise Agreements or negotiated independently.
Minimum threshold: Typically $500K-$1M annual Azure spend. Often negotiated as part of a broader Microsoft EA renewal.
How it works: MACC creates a committed Azure spend baseline that qualifies for enhanced discounts. Azure Reserved Instances and Azure Savings Plans layer on top of MACC discounts.
Key characteristic: Often negotiated as part of broader Microsoft licensing discussions, which means Azure pricing can be influenced by your Office 365/Microsoft 365 EA position. This bundling is both a benefit (more leverage) and a risk (complexity).
GCP Committed Use Discounts (CUDs) + Enterprise Agreement
What it is: Resource-based or spend-based commitments to specific GCP services, combined with a negotiated Enterprise Agreement at $5M+ spend.
Minimum threshold: CUDs start at any spend level. EA negotiation typically triggers at $1M+ annual GCP spend.
How it works: CUDs provide automatic discounts on committed resource types (compute, Cloud SQL, etc.). Enterprise Agreements add additional negotiated discounts on top of CUDs.
Key characteristic: GCP's Sustained Use Discounts (SUDs) provide baseline discounts without any commitment, making GCP's floor pricing favorable for variable workloads even without CUDs.
Side-by-Side Benchmark Comparison
The following table represents median outcomes from our database of 310 enterprise commitment contracts. Individual results vary based on negotiation quality, service mix, and competitive leverage applied.
| Parameter | AWS EDP | Azure MACC | GCP CUD + EA |
|---|---|---|---|
| Entry Threshold (Meaningful Discounts) | $5M+ annual | $1M+ annual (often bundled with EA) | $1M+ annual CUD, $5M+ EA |
| Discount Range (Compute) | 15–30% at $5–15M; 25–40% at $15M+ | 20–35% at $5–15M; 30–45% at $15M+ | 28–57% (CUD alone); 40–68% (CUD + EA) |
| Flexibility (Changing Committed Services) | Medium — EDP applies to all qualifying services; RI/SP changes require new purchases | Medium — MACC is flexible across Azure services; RI changes are separate | High — CUDs flexible across machine types in same family |
| Penalty for Under-Commitment | Pay for committed minimum regardless of actual usage | Pay for committed minimum regardless; credits may expire unused | Pay for committed resources regardless of usage |
| Multi-Year Benefit | ~5–8% better than annual for 3-year | ~8–12% better than annual for 3-year | ~18–29% better compute discount for 3-year vs 1-year CUD |
| Coverage for AI/ML Services | Growing — SageMaker, Bedrock can be in EDP; GPUs discounted less | Strong — Azure AI services and OpenAI via Azure are EA-eligible | Strong — Vertex AI, TPU CUDs available; competitive AI pricing |
| Support Tier Negotiability | Medium — Enterprise Support (10%) is negotiable at $10M+ | High — Unified Support is commonly discounted in EA renewals | Medium — Premium Support (4%) negotiable for $5M+ EA customers |
Flexibility Comparison: What Happens If Your Usage Changes
One of the most underanalyzed dimensions of enterprise cloud commitment programs is what happens when your actual usage deviates from committed levels. This is where the three programs diverge significantly.
AWS EDP: Minimum Spend, Broad Coverage
EDP requires a minimum annual spend commitment. If you commit $10M/year and only spend $7M, you still pay $10M. However, the coverage is broad — most AWS services count toward your EDP commitment, giving you flexibility to shift workloads between services without losing discount coverage.
Risk mitigation: Set EDP commitment at 85-90% of your expected spend, not 100%. The EDP discount continues above the minimum, so over-committing only hurts you if spend drops significantly below forecast.
Azure MACC: Complex Flexibility with EA Bundling
MACC flexibility depends heavily on how it's structured within your Microsoft EA. If MACC is a standalone Azure commitment, changes to service mix are generally flexible within Azure. If it's bundled with Microsoft 365, Dynamics, and other services in a larger EA, complexity increases significantly.
Risk mitigation: Negotiate MACC as an Azure-specific commitment, not embedded in a broader Microsoft bundle if possible. This provides clearer visibility into Azure economics and simplifies negotiation at renewal.
GCP CUDs: Resource-Based, Highly Specific
CUDs are committed at the resource level (vCPU/memory) and region level. If you commit to 1,000 vCPU in us-east1 and migrate a workload to us-west2, that CUD doesn't follow the workload. Resource-based CUDs are the least flexible of the three programs.
Risk mitigation: Focus CUD commitments on core steady-state infrastructure that is genuinely stable. Use SUDs (automatic discounts) as the discount mechanism for variable or migrating workloads. Spend-based CUDs (for Cloud SQL, Cloud Run) offer better flexibility than resource-based CUDs.
Benchmark Your Commitment Programs
We analyze your active EDP, MACC, and CUD commitments against peer data to identify gaps and upcoming negotiation opportunities.
Multi-Cloud Commitment Strategy: Negotiating All Three Simultaneously
The most powerful negotiation position available to enterprise cloud buyers isn't having the best AWS relationship, or the best Azure EA, or the best GCP deal. It's having all three active simultaneously — so each provider knows exactly what the others are offering.
The Sequential Negotiation Trap
Most enterprises negotiate cloud commitments sequentially, one renewal at a time. AWS renewal comes up, you renew AWS. Six months later, Azure renewal comes up, you renew Azure. GCP gets renewed whenever it's due. This approach has a fundamental flaw: each vendor knows it's in sole possession of your renewal budget at that moment.
When AWS is your only active negotiation, AWS knows you need to renew, your alternatives are unquantified, and the urgency is on your side, not theirs. Your leverage is at its lowest.
The Parallel Negotiation Approach
The superior approach: stagger commitments so they all expire within the same 6-month window, then run a coordinated re-bid process:
- Request pricing from AWS, Azure, and GCP for your standardized workload profile. Use the same specification for all three — this creates genuine comparability.
- Share the competitive quotes selectively. Show AWS what GCP is offering for compute-intensive workloads. Show Azure what AWS's MACC equivalent looks like. Show GCP what Azure's AI services pricing delivers.
- Create workload-level competition. Identify 2-3 major workloads that could genuinely run on any provider. Indicate you're evaluating where to place these workloads at renewal — this creates urgency and competitive pressure.
- Consolidate your commitment structure. After running the competitive process, commit the highest value workloads to the provider offering the most favorable terms, while maintaining meaningful spend on all three to preserve ongoing competition.
Benchmark result from enterprises who implemented this approach: median improvement of 19% in combined cloud cost versus sequential renewal approach, with an average one-time credit package of 8-12% of annual commitment value obtained from providers competing for primary workload designation.
Commitment Renewal Timing: When to Negotiate Each Program
Timing matters significantly in cloud commitment negotiations. Each provider has internal budget cycles that affect their ability to discount.
| Provider | Fiscal Year End | Best Negotiation Window | Worst Time to Negotiate |
|---|---|---|---|
| AWS (Amazon) | December 31 | Oct–Nov (Q4 pressure) or early Q1 | February–March (just after year-end close) |
| Azure (Microsoft) | June 30 | April–May (Q4 fiscal push) or July | August–October (mid-fiscal, low urgency) |
| GCP (Google) | December 31 | Oct–Nov (Q4) or Q1 new budget availability | March–April (post-close, limited flexibility) |
Note: Microsoft's fiscal year end (June 30) differs significantly from AWS and GCP. This gives enterprises a strategic opportunity: renew Azure in April-May to capture Microsoft's year-end urgency, then use the improved Azure pricing as leverage in AWS and GCP negotiations later in the calendar year.
Common Commitment Mistakes: What Destroys Savings
Based on our analysis of 310 enterprise commitment contracts, these are the most common mistakes that erode savings:
- Over-committing: Committing at 100% of current spend with no buffer. Cloud usage patterns change. A 15% workload reduction leaves you paying for committed resources with no flexibility. Commit at 80-90% of expected spend.
- Under-committing to avoid risk: Committing at 50-60% of eligible spend to "play it safe." On a $20M AWS bill, the difference between 55% and 85% CUD/RI/Savings Plan coverage is approximately $2.1M annually at typical discount rates.
- Renewing without competitive quotes: The single largest value-destruction behavior. Renewing any cloud commitment without presenting competitive alternatives gives providers no incentive to improve terms.
- Separating support from commitment negotiations: Support tier costs are directly negotiable. Treating them as fixed and separate from EA/EDP/MACC negotiations leaves 5-15% savings on the table.
- Ignoring Marketplace ISV costs: Marketplace purchases across all three clouds often represent 15-25% of total cloud spend. These tools have negotiation options (PPAs, PMAs, private offers) that almost no enterprise fully exploits.
See How Your Commitments Compare
Our benchmark report shows your EDP, MACC, and CUD coverage versus peer enterprises — and quantifies the improvement available at your next renewal.
Conclusion: The Coordinated Multi-Cloud Commitment Strategy
EDP, MACC, and CUD are not independently optimal decisions. They're levers in a coordinated multi-cloud negotiation strategy. Enterprises that treat them as such consistently outperform those who don't — by 12-22% in our benchmark dataset.
Your action plan:
- Map your current commitment expiry dates for all three providers. Identify whether they can be aligned into a synchronized renewal window.
- Calculate your coverage gaps. What percentage of eligible spend is covered by EDP, MACC, and CUDs? What's the cost of that gap?
- Begin competitive quote process 120 days before the first renewal. Request pricing from all three providers for your standardized workload profile.
- Use competitive data in each negotiation. Never reveal your full hand, but ensure each provider knows they're competing for a share of an active, re-evaluated commitment budget.
- Bundle support and Marketplace negotiations. These elements often represent 15-25% of cloud savings opportunity that gets missed when negotiated separately.
The cloud providers negotiate these commitments with sophisticated pricing teams. Enterprise procurement organizations deserve equally sophisticated counterparts. Our cloud commitment optimization service provides exactly that.