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View Audit Services
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Explore DeFi
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Comparisons

AWS vs Google Cloud: Managed Blockchain Node Services

A technical analysis for CTOs and architects comparing AWS Managed Blockchain and Google Cloud's Blockchain Node Engine on performance, cost, global infrastructure, and enterprise readiness.
Chainscore © 2026
introduction
THE ANALYSIS

Introduction: The Hyperscaler Battle for Blockchain Infrastructure

A data-driven comparison of AWS Managed Blockchain and Google Cloud Blockchain Node Engine for CTOs choosing a hyperscaler node solution.

AWS Managed Blockchain excels at enterprise-grade, multi-protocol support and deep AWS ecosystem integration. It offers managed services for Hyperledger Fabric and Ethereum, providing a 99.9% SLA and seamless connectivity to services like Amazon QLDB for analytics and AWS Key Management Service (KMS) for key security. This makes it a robust choice for enterprises building private consortium chains or requiring complex, hybrid cloud architectures.

Google Cloud's Blockchain Node Engine takes a focused, developer-first approach by specializing solely in Ethereum mainnet and testnet nodes. It prioritizes simplicity, full node autonomy, and predictable pricing with a single fee per node per hour. This results in a trade-off: less protocol variety but superior operational simplicity and faster deployment, often within minutes, for teams solely focused on Ethereum-based dApps, RPC services, or indexers.

The key trade-off: If your priority is multi-protocol flexibility, stringent enterprise SLAs, and deep integration with a vast cloud ecosystem (like Lambda or Redshift), choose AWS Managed Blockchain. If you prioritize rapid Ethereum node deployment, simplified operations, and predictable costs for Web3-native applications, choose Google Cloud Blockchain Node Engine.

tldr-summary
AWS vs Google Cloud: Managed Blockchain Node Services

TL;DR: Key Differentiators at a Glance

A data-driven comparison of Amazon Managed Blockchain (AMB) and Google Cloud Blockchain Node Engine (BNE) for CTOs and architects.

02

AWS: Multi-Chain Support

Broad protocol coverage: Supports Hyperledger Fabric and Ethereum. This matters for consortium projects (Fabric) or teams needing to run archive nodes for DeFi analytics on Ethereum mainnet and testnets.

04

Google Cloud: Data & Analytics Edge

BigQuery native integration: Directly pipe blockchain data into BigQuery for real-time analytics. This matters for protocols and investment firms requiring on-chain data analysis, dashboards, and machine learning on transaction patterns.

05

AWS: Higher Cost & Complexity

Cons: Pricing is complex (member fees, peer fees, storage fees). Hyperledger Fabric setup requires significant configuration. This is a trade-off for the enterprise feature set, making it less ideal for simple, cost-sensitive node operations.

06

Google Cloud: Limited Protocol Choice

Cons: Currently only supports Ethereum. This is a significant limitation for teams building on Solana, Polygon, Avalanche, or other L1/L2 chains, forcing them to consider alternative node providers.

HEAD-TO-HEAD COMPARISON

AWS Managed Blockchain vs Google Cloud Blockchain Node Engine

Direct comparison of key metrics and features for enterprise blockchain node hosting.

Metric / FeatureAWS Managed BlockchainGoogle Cloud Blockchain Node Engine

Supported Protocols

Ethereum, Hyperledger Fabric

Ethereum

Node Deployment Time

~25 minutes

< 5 minutes

Hourly Cost (Ethereum Full Node)

$0.46 - $1.10

$0.10 - $0.80

Multi-Region Node Deployment

Automatic Node Health Monitoring

Archive Node Support

Service Level Agreement (Uptime)

99.9%

99.5%

AWS MANAGED BLOCKCHAIN VS GOOGLE CLOUD BLOCKCHAIN NODE ENGINE

Cost Structure and TCO Analysis

Direct comparison of pricing, performance, and features for managed blockchain node services.

MetricAWS Managed BlockchainGoogle Cloud Blockchain Node Engine

Hourly Node Cost (Ethereum)

$0.46 - $0.96

$0.10 - $0.30

Data Transfer Cost (per GB)

$0.09

$0.12

Multi-Chain Support

Automatic Node Health Monitoring

SLA Uptime Guarantee

99.9%

99.5%

Mainnet Launch Year

2019

2022

Integrated Cloud Services

AWS Lambda, CloudWatch

Cloud Run, BigQuery

pros-cons-a
MANAGED NODE SERVICE COMPARISON

AWS Managed Blockchain vs. Google Cloud Blockchain Node Engine

A data-driven breakdown of strengths and trade-offs for CTOs and architects evaluating managed blockchain infrastructure.

02

AWS Managed Blockchain: Cost & Flexibility Trade-off

Higher Baseline Cost, Less Granular Control: Pricing is based on a per-member, per-peer model, which can become expensive for high-throughput applications. This matters for startups or projects with variable load, as costs are less predictable than pure compute pricing.

  • Limited Chain Support: Primarily focused on Hyperledger Fabric; Ethereum is in preview.
  • Node Configuration: Less flexibility for custom client settings (e.g., Geth flags) compared to running your own EC2 instance.
04

Google Cloud Blockchain Node Engine: Ecosystem & Maturity

Narrower Scope, Smaller Ecosystem: As a newer service (launched 2022), it lacks the breadth of AWS's integrated tooling and multi-chain ambition. This matters for enterprises needing multi-chain support or deep integrations beyond BigQuery's blockchain datasets.

  • Vendor Lock-in Still Present: Tight integration with GCP services like Cloud Monitoring and VPC networks.
  • Limited Client Choice: Currently supports only the standard Geth execution client.
pros-cons-b
AWS Managed Blockchain vs. Google Cloud Node Engine

Google Cloud Blockchain Node Engine: Strengths and Weaknesses

A data-driven comparison of two leading cloud-managed node services for CTOs and architects. Focus on operational trade-offs, cost models, and protocol support.

02

Google Cloud: Simplified Ethereum Focus

Optimized for core protocols: First-class support for Ethereum and Polygon PoS with automated node health monitoring and managed upgrades. This matters for protocols like Aave or Uniswap that require high-availability Ethereum nodes for mainnet and testnet deployments, reducing devops overhead.

04

AWS: Mature Enterprise Tooling

Proven governance suite: Tight integration with AWS CloudTrail for audit logging, AWS KMS for key management, and PrivateLink for secure VPC access. This matters for regulated entities in DeFi or TradFi requiring SOC 2 compliance and granular access controls for node operators.

05

Google Cloud: Transparent, Predictable Pricing

Simple per-node pricing: Fixed hourly rate per node type, with clear costs for storage and snapshot operations. This matters for startups and projects with predictable workloads, avoiding the complex variable cost calculations of AWS's request-based model for Ethereum.

06

AWS: Scalable, Pay-Per-Use Model

Granular cost control: Pricing based on peer requests, storage, and data transfer. This matters for high-throughput applications like NFT marketplaces or blockchain indexers with variable traffic, allowing costs to scale directly with usage.

CHOOSE YOUR PRIORITY

Decision Framework: When to Choose Which Platform

Amazon Managed Blockchain (AMB) for Architects

Verdict: The enterprise-grade, multi-chain control plane. Strengths: Deep integration with the broader AWS ecosystem (VPC, CloudWatch, IAM) provides unparalleled control over security posture and network isolation. Native support for Hyperledger Fabric and Ethereum (with Geth or Besu) allows for hybrid or private chain deployments. The service is built for complex, multi-region deployments requiring strict compliance (HIPAA, SOC). Considerations: Higher baseline cost and complexity. Node provisioning and syncing can be slower than dedicated RPC services.

Google Cloud Blockchain Node Engine (BNE) for Architects

Verdict: The streamlined, developer-first node operator. Strengths: Exceptional simplicity and speed for public chain node deployment. Fully managed operations with automated health checks and failover for Ethereum (Geth). Deep integration with Google's data analytics stack (BigQuery, Looker) is a killer feature for protocols needing real-time, on-chain analytics and dashboarding. Considerations: Currently supports fewer blockchain networks (primarily Ethereum). Less granular network-level control compared to AMB's VPC integration.

verdict
THE ANALYSIS

Final Verdict and Strategic Recommendation

Choosing between AWS Managed Blockchain and Google Cloud Blockchain Node Engine is a strategic decision based on your ecosystem, operational model, and performance requirements.

AWS Managed Blockchain excels at enterprise-grade, multi-party consortium networks because of its deep integration with the AWS ecosystem and Hyperledger Fabric support. For example, its seamless connection to services like Amazon QLDB for an immutable audit log and AWS Key Management Service (KMS) for hardware security modules provides a robust, compliant environment for permissioned chains. Its pay-as-you-go pricing is predictable for stable workloads, but can become costly for high-throughput public chain operations.

Google Cloud Blockchain Node Engine takes a different approach by optimizing for public blockchain node operations with a fully managed, hands-off experience. This results in superior operational simplicity and faster deployment for chains like Ethereum and Solana, but offers less flexibility for custom configurations compared to AWS. Google's strength in data analytics via BigQuery for on-chain data, coupled with a simplified, node-hour based pricing model, makes it ideal for dApp developers and protocols needing reliable, low-maintenance RPC endpoints.

The key trade-off: If your priority is building a private, permissioned enterprise network with deep AWS service integration and granular control, choose AWS Managed Blockchain. If you prioritize deploying and maintaining high-availability nodes for public blockchains (Ethereum, Solana) with minimal DevOps overhead and strong data analytics pipelines, choose Google Cloud Blockchain Node Engine. For teams already heavily invested in one cloud's ecosystem, leveraging the native blockchain service will typically provide the smoothest integration and operational synergy.

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