Private Blockchain vs Amazon QLDB vs Azure Confidential Ledger: Choosing the Right Verifiable Ledger
Not every verifiable ledger needs to be a distributed blockchain running on multiple nodes. AWS and Azure both offer managed ledger services that provide cryptographic immutability without requiring you to operate your own infrastructure.
The question is: when is a managed service enough, and when do you need a self-hosted private blockchain?
Here's an honest, vendor-neutral comparison.
The Three Options
| Self-Hosted Private Blockchain | Amazon QLDB | Azure Confidential Ledger | |
|---|---|---|---|
| What it is | A distributed ledger you run on your own infrastructure | A centralized, managed journal with cryptographic verification | A managed consortium ledger with confidential computing |
| Deployment model | Self-hosted (VPS, on-premise, embedded) | Fully managed AWS service | Fully managed Azure service |
| Consensus model | Raft (multi-node CFT) | None (single-writer journal) | CCF (Confidential Consortium Framework) |
| Multi-party support | Native (each org runs a node) | Via IAM (shared AWS account) | Native (separate Azure tenants) |
| Verifiability | Every node holds a full copy; independent verification | Digest + Merkle proofs (verify via API) | Receipts with SGX-backed attestation |
| Trust model | Don't trust any single participant | Trust AWS (single point of control) | Trust Azure + hardware enclave |
| SQL queryability | Full SQL (SQLite) | PartiQL (SQL-compatible) | No native SQL (KV store) |
| Privacy between parties | Per-record AES-256-GCM encryption | N/A (single organization) | Confidential computing (TEE) |
| Smart contracts | JavaScript (sandboxed) | No | No |
| Open source | Yes (Apache 2.0) | No | Partially (CCF is open source) |
| Pricing | Infrastructure cost only | Per IO + storage | Per node + storage |
Amazon QLDB: The Centralized Immutable Journal
QLDB is a good product with a clear scope: a single organization needs a cryptographically verifiable journal of all data changes, without multi-party consensus.
How It Works
QLDB maintains a journal — an append-only record of every INSERT, UPDATE, and DELETE. The journal is hashed using a SHA-256 Merkle tree. You can request a digest (a cryptographic proof that the journal hasn't been tampered with) and verify it against previous digests.
QLDB exposes a PartiQL API — a SQL-compatible query language. You write queries like:
SELECT * FROM Vehicles WHERE VIN = '1N4AL11D75C109151'
Under the hood, QLDB is a centralized AWS service. There's one writer. AWS controls the infrastructure. You trust AWS to run it correctly and honestly.
When QLDB Is the Right Choice
- Single organization — no multi-party data sharing needed
- Centralized trust is acceptable — you already trust AWS with your data
- You need SQL queryability — PartiQL is familiar to SQL developers
- You want zero operational overhead — fully managed, pay-per-use
- You're already in AWS — tight integration with IAM, KMS, CloudWatch
When QLDB Falls Short
- Multi-party scenarios — QLDB has no multi-organization consensus. You'd need to share an AWS account, which means one party has root access to the ledger.
- Decentralized trust — you want independent verification without trusting AWS.
- Privacy between participants — all authorized users in the AWS account can read all data.
- Smart contracts — QLDB doesn't support on-ledger code execution.
- Vendor independence — your immutable audit trail is locked into a proprietary AWS service.
QLDB Pricing (us-east-1)
| Resource | Cost |
|---|---|
| Write IOs | $0.10 per million |
| Read IOs | $0.02 per million |
| Journal storage | $0.03 per GB-month |
| Indexed storage | $0.16 per GB-month |
| Estimated monthly (medium use) | $200-$500 |
Azure Confidential Ledger: Consortium with Hardware Attestation
ACL is Azure's answer to multi-party ledger scenarios. It's built on the Confidential Consortium Framework (CCF) — an open-source framework that runs consensus inside hardware-based Trusted Execution Environments (TEEs) using Intel SGX.
How It Works
Each consortium member deploys an ACL node in their own Azure subscription. Nodes communicate via TLS. Consensus runs inside SGX enclaves — the processor-level security isolates the consensus logic. The ledger produces receipts signed by the enclave, which can be independently verified.
ACL is fundamentally different from both QLDB and self-hosted blockchains: it uses confidential computing as the trust mechanism instead of distributed consensus between independent operators.
When ACL Is the Right Choice
- Multi-organization consortium — each member has their own Azure tenant
- Regulatory requirements for confidential computing — some jurisdictions mandate hardware-based isolation
- You need receipt-based verifiability — third parties can verify ledger state without running a node
- You're already in Azure — integration with Azure AD, Key Vault, Monitor
- You need the strongest possible cryptographic guarantees — SGX-backed attestation
When ACL Falls Short
- Not on Azure — ACL is Azure-only. No on-premise, no AWS, no hybrid cloud.
- Cost at scale — managed nodes are expensive compared to self-hosted infrastructure.
- No SQL queryability — ACL is a key-value store. You'd need external indexing for complex queries.
- SGX dependency — requires Intel SGX-capable hardware. AMD SEV-SNP support is in preview.
- No smart contracts — governance is limited to member management.
- Operational complexity — while managed, ACL still requires consortium coordination, certificate management, and member onboarding.
ACL Pricing (East US)
| Resource | Cost |
|---|---|
| Node (basic) | $0.50/hour (~$365/month) |
| Node (standard) | $1.00/hour (~$730/month) |
| Storage | $0.10 per GB-month |
| Estimated monthly (3-node consortium) | $1,100-$2,200 |
Self-Hosted Private Blockchain: Full Control, Full Responsibility
A self-hosted private blockchain (like MiniLedger) gives you the most flexibility: you control the infrastructure, the consensus model, the data model, the query layer, and the governance.
When Self-Hosted Is the Right Choice
- Multi-party consortium — each organization runs their own node on their own infrastructure
- You need SQL queryability built in — no external indexing, no sync lag
- Privacy between participants is required — per-record encryption with granular ACLs
- Smart contracts are needed — on-ledger code execution for business logic
- Vendor independence matters — your immutable audit trail shouldn't be locked into a single cloud provider
- You're embedding the ledger into an application —
import { MiniLedger }as a library - Cost sensitivity — infrastructure is your only cost; no per-IO or per-node fees
- Hybrid/multi-cloud deployment — nodes can run on AWS, Azure, GCP, and on-premise simultaneously
When Self-Hosted Falls Short
- You want zero operational overhead — you're responsible for monitoring, backup, and updates
- You need hardware-based attestation — self-hosted doesn't provide SGX-level trust guarantees
- You need instant scalability — you provision your own infrastructure; no auto-scaling
Self-Hosted Pricing (3-node consortium)
| Resource | Monthly Cost |
|---|---|
| 3 × t3.small VPS | $90 |
| 3 × 50GB block storage | $15 |
| Management overhead | ~4 hours/month |
| Estimated monthly | ~$105-$200 |
Decision Matrix
| Scenario | Best Choice | Why |
|---|---|---|
| Single org, need immutable audit log, already in AWS | Amazon QLDB | Zero ops, SQL queries, AWS integration |
| Single org, need immutable audit log, not in AWS | Self-hosted blockchain | Avoid vendor lock-in, lower cost at scale |
| Multi-org consortium, all in Azure, need hardware attestation | Azure Confidential Ledger | Native multi-tenant, SGX receipts |
| Multi-org consortium, mixed cloud/on-premise | Self-hosted blockchain | Run anywhere, no cloud lock-in |
| Multi-org consortium with competitive data | Self-hosted blockchain | Per-record encryption, fine-grained ACLs |
| Need SQL queryability against ledger data | QLDB or Self-hosted | Both offer SQL; ACL does not |
| Need smart contracts / on-ledger logic | Self-hosted blockchain | Neither QLDB nor ACL support contracts |
| Embedding ledger into an application | Self-hosted blockchain | Use as an npm dependency |
| Strict budget (<$500/month) | Self-hosted blockchain | Infrastructure-only cost model |
| Zero DevOps capability | QLDB or ACL | Managed services |
| Avoiding any single cloud vendor dependency | Self-hosted blockchain | Multi-cloud, portable |
The Hybrid Reality
In practice, many organizations use more than one approach:
- QLDB for internal audit trails — compliance logging within the AWS environment
- Self-hosted blockchain for the consortium layer — multi-party data sharing with external organizations
- QLDB digests anchored to the consortium blockchain — combining internal verifiability with external consensus
┌─────────────────┐
│ Partner A │
│ (Self-hosted) │──┐
└─────────────────┘ │
│
┌─────────────────┐ │ ┌──────────────────────────┐
│ Partner B │ │ │ Consortium Blockchain │
│ (Self-hosted) │──┼────│ (Raft, multi-party CFT) │
└─────────────────┘ │ │ │
│ │ ├─ Shipment tracking │
┌─────────────────┐ │ │ ├─ Custody transfers │
│ Partner C │ │ │ └─ Shared audit trail │
│ (Self-hosted) │──┘ └────────────┬──────────────┘
└─────────────────┘ │
┌──────────▼──────────────┐
│ Internal Compliance │
│ (Amazon QLDB) │
│ │
│ ├─ Access logs │
│ ├─ Configuration changes │
│ └─ Internal audit trail │
└──────────────────────────┘
Each tool for its appropriate layer. The consortium blockchain handles multi-party coordination. QLDB handles internal compliance logging. The external and internal systems are anchored together — QLDB digests can be recorded on the consortium chain, and consortium chain block hashes can be stored in QLDB — creating a complete, end-to-end verifiable audit trail.
The Bottom Line
| If you want... | Choose... |
|---|---|
| A managed service with zero ops | QLDB (single org) or ACL (multi-org) |
| Full control and no vendor lock-in | Self-hosted private blockchain |
| SQL queryability built in | QLDB or self-hosted |
| Hardware-based trust guarantees | ACL |
| Smart contracts and on-ledger logic | Self-hosted |
| The lowest possible cost | Self-hosted |
| Multi-cloud or on-premise deployment | Self-hosted |
| AWS-native integration | QLDB |
| Azure-native integration | ACL |
The right choice depends on your trust model, operational capability, and whether you're coordinating between one organization or many.
See the comparison table for a full feature-by-feature breakdown of self-hosted blockchain platforms, or read the implementation guide for a self-hosted deployment roadmap.
About the Author
Prasad Kumkar is the Founder & CEO of ChainScore Labs. Over the last 5+ years, he has worked with teams building exchanges, DeFi infrastructure, smart contracts, tokenization systems, and protocol-level blockchain products, helping founders make architecture, security, and go-live decisions for production Web3 systems.