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Comparisons

Aztec vs. StarkEx (Privacy Modes)

A technical analysis contrasting Aztec's full-stack privacy zkRollup with StarkEx's SaaS engine offering optional privacy via Validium/Volition modes. We break down the trade-offs in architecture, data availability, cost, and developer experience for CTOs and architects.
Chainscore © 2026
introduction
THE ANALYSIS

Introduction: Two Philosophies of On-Chain Privacy

Aztec and StarkEx represent fundamentally different architectural approaches to privacy on Ethereum, forcing a critical choice between programmability and scalability.

Aztec excels at general-purpose private smart contracts because it uses a zk-rollup architecture with a specialized zk-SNARK virtual machine (zkVM). This allows developers to write private logic in Noir, a Rust-like language, enabling complex, composable applications like private DeFi (zk.money) and identity protocols. However, this flexibility comes at a cost: its current mainnet throughput is limited to ~15-20 TPS, and proving times for complex circuits can be high.

StarkEx takes a different approach by focusing on high-throughput, application-specific privacy. It uses STARK proofs to create validated, private state transitions for predefined logic (e.g., spot trading, NFTs, perpetuals). This results in a key trade-off: while it achieves blistering performance (e.g., dYdX processed over 3,000 TPS at its peak) and lower fees for its specific use cases, it is not a general-purpose platform. Developers cannot deploy arbitrary private smart contracts.

The key trade-off: If your priority is building novel, composable private applications (e.g., confidential DAO voting, private lending), choose Aztec and accept its current scalability constraints. If you prioritize scaling a specific financial product (like an exchange or NFT marketplace) to millions of users with minimal fees, choose StarkEx's battle-tested, application-specific framework.

tldr-summary
Privacy Scaling Solutions

TL;DR: Core Differentiators at a Glance

A direct comparison of the architectural and operational trade-offs between Aztec and StarkEx for privacy-focused applications.

01

Aztec's Strength: Full Privacy & Composability

Privacy as default: Aztec's zk-zkRollup architecture (using PLONK) enables private smart contract execution and private state by default. This matters for applications requiring end-to-end confidentiality, like private DeFi (zk.money) or confidential voting.

Private State
Default
02

Aztec's Trade-off: Complexity & Ecosystem Maturity

Higher development overhead: Building on Noir (Aztec's custom ZK language) and managing private state is more complex than standard Solidity. The ecosystem of tools (Noir-VSCode, Aztec Sandbox) is growing but less mature. This matters for teams with tight timelines or those prioritizing developer familiarity.

03

StarkEx's Strength: High-Throughput & Battle-Tested

Proven scalability for specific apps: StarkEx's Validium/Volition model (using STARKs) offers ~9,000 TPS for applications like dYdX (perpetuals) and Immutable X (NFTs). This matters for high-volume, low-latency exchanges and gaming platforms where public data availability is acceptable.

~9k TPS
Validium Mode
04

StarkEx's Trade-off: Application-Specific & Privacy Modes

Privacy is an opt-in feature: StarkEx is an application-specific rollup. While it offers "privacy pools" (via Volition), privacy is not the default state of the system. This matters for projects that need granular, user-controlled privacy rather than a fully private L2 environment.

HEAD-TO-HEAD COMPARISON

Aztec vs. StarkEx: Privacy Mode Comparison

Direct comparison of privacy features, performance, and developer considerations for StarkEx's Validium and Aztec's zk.mode.

Metric / FeatureAztec (zk.mode)StarkEx (Validium)

Privacy Model

Default private state (shielded)

Public state with private data (off-chain)

Data Availability

On-chain (Ethereum L1)

Off-chain (Data Availability Committee)

ZK Proof System

Plonk-based (UltraPlonk)

STARKs (Cairo VM)

Throughput (Scalability)

~100 TPS (current testnet)

~9,000 TPS (dYdX v3 peak)

Privacy for DeFi Composability

Limited (shielded barrier)

Full (public liquidity, private trades)

Native Asset Privacy

Smart Contract Privacy

Private function execution

Private data in public logic

PRIVACY MODES COMPARISON

Aztec vs. StarkEx: Cost & Performance Analysis

Direct comparison of key metrics for private transaction execution on Ethereum L2s.

MetricAztec (zk.money)StarkEx (dYdX, Sorare)

Privacy Model

Full Private State (zk-zkRollup)

Validium / Volition (zk-Rollup with Data Availability choice)

Avg. Private TX Cost (ETH Mainnet)

$5 - $15

$0.25 - $1.50

Max Throughput (Private TPS)

~300

~9,000 (Validium mode)

Time to Finality (On L1)

~30 min

~2-10 min

Data Availability On-Chain

Native Private Smart Contracts

Main Production Use Case

Private DeFi & payments

Private trading & gaming

pros-cons-a
PROS AND CONS

Aztec Network vs. StarkEx: Privacy Modes

A technical breakdown of two leading privacy-focused L2s. StarkEx offers selective privacy for high-throughput apps, while Aztec provides full-stack programmable privacy.

01

Aztec's Strength: Full-Stack Programmable Privacy

Universal privacy for any dApp logic: Developers can build private DeFi, voting, or identity apps using Noir, a Rust-like ZK-SNARK language. This enables custom private smart contracts, unlike StarkEx's fixed application modes. This matters for protocols requiring novel, complex private logic (e.g., private DAOs, confidential auctions).

02

Aztec's Strength: Native Private Token Transfers

Base-layer privacy for ETH and ERC-20s: Aztec's architecture anonymizes sender, receiver, and amount by default using ZK-SNARKs. This provides stronger privacy guarantees than mixing solutions. This matters for users and institutions requiring maximal transaction confidentiality, similar to Zcash on Ethereum.

03

StarkEx's Strength: High-Throughput & Lower Costs

Proven scalability for specific applications: StarkEx powers dYdX (perpetuals) and Immutable X (NFTs), handling 9,000+ TPS in production. Fees are lower due to STARK proofs and application-specific optimization. This matters for exchanges, gaming, and NFT platforms where cost and speed are critical.

04

StarkEx's Strength: Mature & Battle-Tested

Production-ready with significant TVL: StarkEx has secured >$1T+ in cumulative trading volume with zero security breaches. Its Validium and Volition modes let users choose data availability. This matters for enterprises and large protocols that prioritize security audits, institutional trust, and regulatory clarity.

05

Aztec's Trade-off: Higher User Complexity & Cost

ZK-SNARK proof generation is user-side: Users must generate proofs locally, leading to higher gas fees and slower UX (~30-45 sec proof time). This creates friction for mainstream adoption. This is a critical consideration for consumer apps where speed and low cost are paramount.

06

StarkEx's Trade-off: Limited Privacy Programmability

Privacy is application-specific, not universal: StarkEx offers "selective privacy" modes (e.g., spot trading, NFTs) but not a general-purpose private VM. Building novel private logic requires a custom circuit, which is complex. This matters for developers wanting the flexibility of Ethereum's composability but with privacy.

pros-cons-b
AZTEC VS. STARKEX

StarkEx (Privacy Modes): Pros and Cons

Key strengths and trade-offs for private transaction models at a glance.

01

Aztec: Full Privacy by Default

Universal privacy: Every transaction is private by default using zero-knowledge proofs (ZKPs). This matters for applications requiring complete data confidentiality, like private DeFi (zk.money) or enterprise payroll. The network is purpose-built for privacy-first use cases.

02

Aztec: Programmable Privacy (Noir)

Custom private logic: Developers use the Noir language to write private smart contracts. This matters for building bespoke private applications (e.g., private voting, confidential auctions) that require complex, user-defined logic within a privacy-preserving environment.

03

StarkEx: High-Throughput, Selective Privacy

Scalability-first: Leverages STARK validity proofs for massive throughput (e.g., dYdX processed ~10K TPS). This matters for high-frequency trading platforms and NFT marketplaces where performance and cost are primary, and privacy is an optional feature ("Validium" mode).

04

StarkEx: Battle-Tested & Integrated

Proven in production: Powers major live applications like Immutable X, Sorare, and dYdX with over $1T+ in cumulative volume. This matters for enterprise-grade deployments requiring a stable, audited stack with existing L1 security (via Data Availability Committees or Ethereum).

05

Aztec: Higher User Friction & Cost

ZK-proof overhead: Every private action requires generating a client-side ZK proof, leading to slower UX and higher gas costs per transaction. This is a trade-off for universal privacy, making it less ideal for micro-transactions or latency-sensitive dApps.

06

StarkEx: Limited Privacy Model

Privacy as a feature, not foundation: Privacy modes ("ZK-Rollup" for full, "Validium" for partial) are application-level choices with trust assumptions (e.g., Data Availability Committee). This matters if you need guaranteed cryptographic privacy for all data, which Validium mode does not provide.

CHOOSE YOUR PRIORITY

Decision Framework: When to Choose Which

Aztec for DeFi

Verdict: Choose for private DeFi primitives and novel applications. Strengths: Aztec's zk.money (now Aztec Connect) pioneered private DeFi interactions on Ethereum, enabling private swaps, lending, and yield farming via its Connect SDK. It uses a UTXO-based model for strong privacy guarantees, making it ideal for protocols requiring transaction anonymity, like private stablecoin transfers or confidential DEX trades. Trade-offs: Throughput is lower (~15 TPS) and the architecture is more complex for developers. It requires integrating with Aztec's specific bridge contracts.

StarkEx for DeFi

Verdict: Choose for scaling high-volume, institutional-grade exchanges. Strengths: StarkEx is battle-tested, powering dYdX (perpetuals) and Immutable X (NFTs). It offers Validium mode (data off-chain) for massive throughput (~9,000 TPS) and ultra-low fees, perfect for order-book DEXs. Its Cairo language is optimized for complex financial logic. Trade-offs: Privacy in 'Validium' mode is limited to data availability; full privacy requires Volition mode, which has higher costs. Less focused on private DeFi primitives than Aztec.

verdict
THE ANALYSIS

Final Verdict and Strategic Recommendation

A strategic breakdown of the Aztec and StarkEx privacy models to guide infrastructure decisions.

Aztec excels at full-stack, programmable privacy because its zk-rollup architecture natively integrates privacy into the protocol layer. For example, its zk.money application demonstrated private DeFi transactions with shielded balances, a model now evolving into the Aztec Connect bridge for private interactions with Ethereum mainnet protocols like Lido and Element Finance. This approach prioritizes user and transaction confidentiality as a default state, but currently operates at a lower throughput of ~15 TPS.

StarkEx takes a different approach by offering application-specific privacy modes (Validium or Volition) atop its high-performance validity-proof engine. This results in a trade-off: developers can choose public data availability for cost-efficiency or off-chain data for privacy, achieving proven scalability of 9,000+ TPS for dApps like dYdX and ImmutableX. Its privacy is powerful but opt-in and siloed per application, rather than a network-wide feature.

The key trade-off: If your priority is building a new protocol where privacy is the core, non-negotiable feature (e.g., private voting, confidential DeFi), choose Aztec. Its full-stack design bakes in anonymity. If you prioritize scaling a high-throughput application where privacy is an optional, premium feature for specific actions (e.g., hiding NFT bids, private trades on a DEX), choose StarkEx. Its battle-tested scalability and flexible data models provide a clearer path to mainstream adoption.

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