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StarkEx vs StarkNet: Throughput Scaling

A technical analysis comparing StarkEx's application-specific rollups with StarkNet's general-purpose ZK-Rollup, focusing on throughput, cost, and architectural trade-offs for CTOs and protocol architects.
Chainscore © 2026
introduction
THE ANALYSIS

Introduction: The StarkWare Scaling Dichotomy

Understanding the fundamental architectural choice between StarkWare's two scaling solutions is critical for infrastructure planning.

StarkEx excels at providing dedicated, high-throughput scaling for specific applications because it operates as a SaaS framework for custom validity rollups. For example, dYdX (v3) achieved over 2,000 TPS and sub-$0.01 fees by using a StarkEx-powered appchain, demonstrating its capacity for hyper-optimized, single-app performance. This model offers predictable performance and direct control over the upgrade path for established protocols like Immutable X and Sorare.

StarkNet takes a different approach by being a permissionless, general-purpose ZK-Rollup network. This results in a trade-off: while it enables composability and a shared developer ecosystem using the Cairo programming language, its current throughput is shared across all deployed contracts, leading to variable performance. Its TVL and activity are distributed across thousands of contracts, unlike a StarkEx chain's focused resources.

The key trade-off: If your priority is maximized, guaranteed throughput and low latency for a single, high-volume application, choose StarkEx. If you prioritize permissionless innovation, smart contract composability, and building within a broader ecosystem, choose StarkNet.

tldr-summary
StarkEx vs StarkNet: Throughput Scaling

TL;DR: Core Differentiators

Key architectural strengths and trade-offs for high-volume applications at a glance.

01

StarkEx: Deterministic Throughput

Guaranteed, dedicated capacity: Each application (dYdX, Sorare) runs on its own separate, configurable StarkEx instance. This provides predictable 9,000+ TPS per app and sub-second finality, insulated from network congestion. This matters for centralized-exchange-grade DeFi and high-frequency NFT marketplaces requiring SLA-backed performance.

9K+ TPS
Per App Instance
< 1 sec
Finality
02

StarkEx: Tailored Cost Structure

Optimized, fixed operational costs: As a SaaS framework, costs are predictable and scaled with the specific app's volume. No competition for block space or volatile L1 gas fees for proofs. This matters for enterprise applications with strict P&L requirements and projects needing to model transaction costs years in advance.

Predictable
Fee Model
03

StarkNet: Shared Network Effects

Composable, unified liquidity: All dApps (JediSwap, Ekubo) and assets (STRK, ETH) exist on a single, permissionless L2. Enables native composability like cross-protocol flash loans and shared state. This matters for DeFi ecosystems and innovative dApps that rely on interoperability and cannot exist in an isolated silo.

Single State
Global Shared Layer
04

StarkNet: Permissionless Innovation

Anyone can deploy: A general-purpose, Turing-complete ZK-Rollup where developers can deploy any Cairo smart contract without approval. Fosters a permissionless innovation layer similar to Ethereum. This matters for protocols wanting full sovereignty, experimental dApps, and long-tail use cases not served by app-specific stacks.

Permissionless
Deployment
05

StarkEx: Centralized Sequencing

Trade-off: Operator Control: The application operator (e.g., dYdX) acts as the sole sequencer, providing efficiency but introducing a single point of trust for transaction ordering and liveness. This matters for teams prioritizing maximum performance and customization over decentralized sequencing.

06

StarkNet: Contended Throughput

Trade-off: Variable Performance: Throughput is shared across the entire network (~100-200 TPS network-wide). During high demand, users and dApps compete for block space, potentially leading to higher fees and latency. This matters for applications that cannot tolerate performance variability from network-wide activity spikes.

~150 TPS
Network-Wide Peak
THROUGHPUT AND SCALING METRICS

Feature Comparison: StarkEx vs StarkNet

Direct comparison of performance, cost, and architecture for scaling decisions.

MetricStarkEx (App-Specific)StarkNet (General-Purpose)

Peak Theoretical TPS

9,000+

1,000+

Avg. Transaction Cost (L2)

$0.10 - $0.50

$0.001 - $0.05

Settlement to Ethereum

~12 hours

~3-5 hours

Architecture Model

Validium / ZK-Rollup

ZK-Rollup

Customizability

High (App-Specific Logic)

Medium (Cairo Smart Contracts)

Time to Finality (L2)

~1 second

~1 second

Data Availability

On-Chain or Off-Chain

On-Chain

STARKEX VS STARKNET: THROUGHPUT SCALING

Performance Benchards: TPS, Latency, Finality

Direct comparison of key performance metrics for StarkWare's L2 scaling solutions.

MetricStarkEx (App-Specific)StarkNet (General-Purpose)

Peak TPS (Proven)

9,000

~1,000

Avg. Transaction Cost (ETH Transfer)

$0.10 - $0.50

$0.50 - $2.00

Time to Finality (On L1)

~12 hours

~12 hours

Proving Time (State Update)

< 10 minutes

~30-60 minutes

Data Availability Mode

Validium or ZK-Rollup

ZK-Rollup

Supports General Smart Contracts

Key Protocols

dYdX, Immutable, Sorare

JediSwap, zkLend, Nostra

pros-cons-a
PROS AND CONS

StarkEx vs StarkNet: Throughput Scaling

Key architectural trade-offs for high-volume applications. StarkEx is a dedicated scaling engine, while StarkNet is a permissionless L2 network.

01

StarkEx: Predictable, High Throughput

Application-Specific Optimization: Each deployment (e.g., dYdX, Immutable X, Sorare) is a dedicated, isolated instance. This allows for custom data models and transaction logic, enabling 9,000+ TPS in production for specific applications like orderbook trading.

This matters for established enterprises and protocols that need guaranteed, high-frequency performance and are willing to manage a dedicated validator.

02

StarkEx: Lower & Fixed Costs

Deterministic Fee Structure: As a SaaS model, costs are predictable and not subject to network congestion from other dApps. Batch proofs amortize costs across thousands of transactions, leading to sub-cent fees for users.

This matters for consumer-facing applications (NFT marketplaces, gaming) where user experience and predictable micro-transactions are critical.

03

StarkNet: Shared Network Effects

Composable Ecosystem: All dApps (JediSwap, Ekubo, Nostra) share liquidity, security, and state on a single L2. This enables native composability, where a swap on one DEX can directly trigger a lending action on another protocol within the same block.

This matters for DeFi innovators and developers building interconnected products that rely on a rich, permissionless ecosystem of smart contracts.

04

StarkNet: Permissionless Innovation

Open Deployment: Any developer can deploy a Cairo smart contract without permission. This fosters rapid experimentation and a broader developer base, evidenced by 1,000+ live contracts.

This matters for startups, hackathon projects, and protocols that prioritize open access, community-driven growth, and avoiding vendor lock-in.

05

StarkEx: Limited Composability

Application Silos: Each StarkEx instance is an isolated environment. Assets and liquidity are not natively interoperable with other StarkEx apps or the broader StarkNet without complex bridging.

This is a trade-off for protocols that choose ultimate performance and control over ecosystem integration. It requires building your own liquidity from scratch.

06

StarkNet: Variable Performance

Contention for Resources: Throughput is shared across the network. During peak demand (e.g., a major NFT mint), proof generation can bottleneck, increasing latency and causing fee spikes, though still far below L1.

This is a trade-off for the benefits of a shared L2. Performance is "good enough" for most dApps but lacks the ironclad guarantees of a dedicated stack.

pros-cons-b
PROS AND CONS

StarkEx vs StarkNet: Throughput Scaling

Key architectural trade-offs for high-throughput applications. StarkEx is a SaaS framework for custom app-chains, while StarkNet is a permissionless general-purpose L2.

01

StarkEx: Peak TPS & Cost Control

Dedicated Validity Proofs: Each application (dYdX, Sorare) runs its own sequencer and generates proofs for its specific state transitions. This allows for 9,000+ TPS (dYdX v3) and predictable, app-controlled fee models. Ideal for exchanges and games needing isolated, max-performance environments.

9,000+ TPS
Peak (dYdX)
< $0.001
Avg. Trade Cost
02

StarkEx: Enterprise-Grade SLAs

Managed Service Model: StarkEx operators (like StarkWare) provide formal Service Level Agreements for uptime, proof generation latency, and support. This guarantees >99.9% availability and dedicated engineering resources, crucial for financial institutions like ImmutableX and Sorare with millions of users.

03

StarkNet: Shared Network Effects

Composable Ecosystem: All dApps (JediSwap, Ekubo) share a single state, enabling native composability and liquidity aggregation. TVL is pooled network-wide (~$1.3B), not siloed per app. This is critical for DeFi protocols requiring seamless integration, like lending/borrowing with Nostra.

~$1.3B
Network TVL
04

StarkNet: Permissionless Innovation

Anybody Can Deploy: Developers deploy smart contracts directly to the public L2 without vendor approval, using Cairo. This fosters a large, open ecosystem with 500+ live contracts and rapid experimentation (e.g., ERC-721, ERC-1155, ERC-20). The trade-off is competing for block space in a shared environment.

05

StarkEx: Limited Composability

App-Chain Silos: dApps on different StarkEx instances (e.g., a game on Immutable and an NFT on Sorare) cannot interact without complex, trust-minimized bridges. This fragments liquidity and limits complex DeFi legos. Choose StarkEx only if your app operates as a closed economy.

06

StarkNet: Variable Performance

Contested Block Space: Throughput is shared, leading to variable TPS (45-100+ TPS network-wide) and potential fee spikes during congestion (e.g., major NFT mints). While Cairo VM optimizations improve efficiency, you cannot reserve dedicated capacity like with StarkEx.

45-100+ TPS
Shared Network
CHOOSE YOUR PRIORITY

Decision Framework: When to Choose Which

StarkEx for DeFi

Verdict: The production-ready choice for high-volume, specialized applications. Strengths:

  • Proven Throughput: Handles 9K+ TPS for dYdX (perpetuals) and 4.5K TPS for Sorare (NFTs).
  • Predictable Costs: Fixed, low fees per transaction, ideal for frequent user actions.
  • Customizability: App-specific validity proofs and data availability modes (ZK-Rollup vs Validium) let you optimize for cost vs. security. Best For: Centralized exchanges building L2s (Immutable X), high-frequency DEXs (dYdX), or protocols needing a dedicated, high-performance chain.

StarkNet for DeFi

Verdict: The flexible, composable future for permissionless innovation. Strengths:

  • Native Composability: Shared state enables seamless interactions between protocols like Ekubo (AMM) and zkLend (lending).
  • EVM Compatibility: Cairo's Solidity transpiler and tools like Hardhat-Cairo ease Ethereum developer onboarding.
  • Ecosystem Growth: Burgeoning DeFi TVL with protocols like Nostra and zkUSD. Best For: Teams building novel, interconnected DeFi primitives that benefit from a unified liquidity and user base.
verdict
THE ANALYSIS

Final Verdict and Strategic Recommendation

Choosing between StarkEx and StarkNet is a strategic decision between a turnkey, high-performance solution and a flexible, permissionless ecosystem.

StarkEx excels at delivering deterministic, high-throughput scaling for specific applications because it operates as a dedicated, permissioned SaaS framework. For example, dYdX (v3) and ImmutableX consistently achieve over 9,000 TPS for their respective use cases of perpetuals and NFT minting, with near-zero gas fees for users. This is possible due to optimized, single-app validity proofs and centralized sequencing, which sacrifice decentralization for raw performance and predictable operational control.

StarkNet takes a different approach by providing a general-purpose, permissionless ZK-Rollup L2. This results in a trade-off: while it offers superior composability and a vibrant ecosystem of dApps (e.g., Ekubo, Nostra, zkLend), its current throughput is shared across the network and subject to congestion. Recent upgrades like Cairo 1.0 and the introduction of sequencer decentralization are long-term plays for scalability and sovereignty, but current TPS is generally lower than a tuned StarkEx instance, as the network prioritizes a broader, more open design.

The key trade-off: If your priority is maximum, guaranteed throughput for a single, complex application (like a CEX/DEX or gaming platform) with minimal time-to-market, choose StarkEx. If you prioritize building within a composable DeFi/L2 ecosystem, require censorship resistance, and are willing to navigate a more dynamic, shared-resource environment for long-term decentralization, choose StarkNet. For CTOs, the choice is between a high-performance appliance and a foundational protocol layer.

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