Round 108
Data Consistency Model
Our distributed e-commerce platform is moving to a multi-region deployment to reduce latency for international users. A critical architectural decision is required regarding the consistency model for the global product inventory system. The goal is to maximize user experience while preventing 'ghost sales' (selling items that are out of stock). We face significant network partition risks and must balance the speed of 'Add to Cart' actions against the architectural complexity of distributed locks or reconciliation logic.
Status
DECIDEDWinner
C · Strict Strong Consistency (CP): Use a globally distributed consensus protocol (like Spanner or CockroachDB) for all inventory writes. This ensures no over-selling occurs, accepting increased latency for writes during cross-region synchronization and potential downtime during network partitions.Majority
C · Strict Strong Consistency (CP): Use a globally distributed consensus protocol (like Spanner or CockroachDB) for all inventory writes. This ensures no over-selling occurs, accepting increased latency for writes during cross-region synchronization and potential downtime during network partitions.Duration
6881 msTopic
Options
Checks
Baselines
PPV
Top Influences
Samples
Answer Distribution
PPV
Influences
| Label | Role | Score |
|---|---|---|
| GPT 5.4 mini | delegate | 1.614 |
| Gemini 3 Flash Preview | delegate | 1.264 |
| Claude Sonnet 5 | delegate | 1.207 |
Voting matrix
Constructed Delegation Matrix
| To / From | Claude Sonnet 5 | GPT 5.4 mini | Gemini 3 Flash Preview |
|---|---|---|---|
| Claude Sonnet 5 | 0.000 | 0.000 | 0.207 |
| GPT 5.4 mini | 0.264 | 0.000 | 0.207 |
| Gemini 3 Flash Preview | 0.264 | 0.000 | 0.000 |
| A | 0.000 | 0.000 | 0.000 |
| B | 0.471 | 0.000 | 0.000 |
| C | 0.000 | 1.000 | 0.586 |
| D | 0.000 | 0.000 | 0.000 |
| E | 0.000 | 0.000 | 0.000 |
Embeddings
Sample Embeddings
Samples
Agent Responses
Given the priorities—maximizing 'Add to Cart' speed while explicitly seeking to prevent ghost sales rather than merely compensating for them post-hoc—the reservation model best balances these needs. It shifts the consistency burden earlier in the funnel (at ca...
Eventual consistency with compensation offers the best balance for e-commerce scale, prioritizing low-latency 'Add to Cart' experience globally while treating rare overselling as a solvable business problem (refunds/vouchers) rather than a technical one requir...
Given the emphasis on preventing 'ghost sales' while maintaining fast 'Add to Cart' latency, the reservation-based model directly addresses the root cause by front-loading consistency checks at intent time rather than checkout, avoiding both the high-latency g...
Given the explicit requirement to prevent 'ghost sales' while maintaining fast 'Add to Cart' speed, the platform prioritizes correctness of stock counts over pure availability, ruling out AP-style eventual consistency and quorum-based approximations. Strict gl...
Given the priority on fast 'Add to Cart' actions and avoiding heavy distributed locks, the platform favors availability over strict consistency, accepting occasional overselling as a manageable trade-off. Eventual consistency with automated compensating action...
Eventual consistency (AP) directly addresses the stated priorities: minimizing latency for 'Add to Cart' actions and tolerating network partitions, while accepting occasional overselling as a manageable business cost through automated compensation (cancellatio...
Strict CP consensus (C) directly satisfies the stated goal of preventing ghost sales at all costs, aligning with the priority of correctness over latency in inventory writes. Options like E, D, or B trade off consistency for speed, which risks over-selling — c...
The core requirement is preventing 'ghost sales' (over-selling) while keeping the fast, low-latency user experience of 'Add to Cart' actions—this points toward a CP-oriented model, but strict global consensus (C) sacrifices too much latency/availability during...
The key requirement is to prevent ghost sales in a critical inventory system, even under partition risk. That favors a strongly consistent approach where writes are coordinated globally so stock cannot be oversold, even though latency increases. Among the opti...
The goal is to prevent ghost sales, which requires a consistency model that never allows conflicting inventory writes across regions. Option (C) provides strict strong consistency using global consensus, ensuring no over-selling even under partition risk, thou...
To prevent ghost sales, the inventory system needs a consistency model that guarantees no over-selling even under partition risk. The option that directly provides this is strict strong consistency with global consensus, since every write is coordinated before...
The key requirement is to prevent ghost sales, which means the inventory system cannot tolerate conflicting writes or stale stock reads that could oversell items. Since the prompt emphasizes significant partition risk and explicitly asks for a consistency mode...
The key requirement is to prevent ghost sales, which means the inventory system must never allow conflicting writes that could oversell stock. In a multi-region setup with partition risks, the safest choice is a globally coordinated consistency model that sacr...
The key requirement is to prevent ghost sales, which means the inventory system cannot allow conflicting writes during partitions. Among the choices, strict strong consistency is the only model that guarantees no over-selling by requiring global agreement befo...
The key requirement is to prevent ghost sales, even under significant network partition risk, so the inventory system must favor correctness over availability. That points to a strongly consistent, globally coordinated approach rather than eventual consistency...
The key requirement is to prevent ghost sales, which means the inventory system must never allow conflicting writes that could oversell stock. Given the high risk of network partitions, the safest choice is a strongly consistent, globally coordinated database,...
To maximize user experience while preventing 'ghost sales,' the system must prioritize consistency over availability during network partitions (CAP theorem). Strict Strong Consistency (C) ensures that every 'Add to Cart' or 'Checkout' action reflects the true ...
To prevent "ghost sales" (selling out-of-stock items) while managing network partition risks, a system must prioritize consistency over availability (CP) or use a coordination mechanism. Option (C) provides a globally ordered state that guarantees zero over-se...
To prevent "ghost sales" (overselling) while managing global network partition risks, a system must prioritize consistency over availability in the CAP theorem. Option (C) provides a Strict Strong Consistency model through distributed consensus, ensuring that ...
To prevent "ghost sales" (overselling) while managing the risks of network partitions, the system must prioritize consistency over availability for the inventory data (CAP theorem's CP). Option (C) ensures that every transaction is globally synchronized via a ...
To prevent "ghost sales" (over-selling) in a multi-region deployment, the system must prioritize consistency over availability during network partitions. **Option (C)** utilizes a globally distributed consensus protocol to ensure a single, accurate view of inv...
To prevent "ghost sales" (selling out-of-stock items) while managing multi-region latency, a trade-off between strict consistency and system availability is required. Option (A) ensures local consistency by siloing inventory, which prevents over-selling and mi...
To prevent 'ghost sales' (selling out-of-stock items) while managing network partition risks, a system must prioritize consistency over availability (CP) in accordance with the CAP theorem. Option (C) ensures a single global truth for inventory levels through ...
To prevent 'ghost sales' (selling out-of-stock items) while ensuring a smooth experience, the system must prioritize consistency over availability during network partitions. Option (C) ensures a single global truth for inventory levels via a distributed consen...
Timings
Stages
Errors