Reduce your Amazon QLDB
costs with these tips

These proven tips can save you up to 30% on AWS costs!

* Savings are averaged out across customers & services

Amazon Quantum Ledger DB cost saving tips Optimize your Amazon Quantum Ledger DB costs with these tips


Right-size Resources

Analyze ledger usage patterns to right-size QLDB resources such as journal number, storage size etc. QLDB charges based on usage of these features.


Use Reserved Capacity

Use QLDB reserved capacity for predictable workloads to gain discounts compared to on-demand pricing. It offers low per-usage rates but requires a 1 or 3 year commitment.


Integrate with S3

For temporary journal storage needs, integrate services like S3. This optimizes QLDB resource allocation, helping to minimize costs over time.

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“We found that our AWS costs were spiraling out of control. Following ElasticScale their advice we were able to save 60% on costs without compromising performance!”

John Schrijvers
John Schrijvers
CEO of Dataswitcher

Other AWS cost saving tips We also have tips for the following AWS services

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About Amazon Quantum Ledger DB Service information & pricing

About Amazon Quantum Ledger DB

Amazon Quantum Ledger Database (Amazon QLDB) is a ledger database providing a permanent, verifiable, transparent, and immutable transaction log. It tracks sequenced application data changes and supports event-driven systems through reliable ACID transactions and real-time streaming for Amazon Kinesis. It offers automatic scaling via serverless architecture. Its usage spans financial transaction tracking, supply chain reconciliation, claims history maintenance, and digital record centralization.

↗ More information on AWS website

Amazon Quantum Ledger DB pricing

Amazon Quantum Ledger Database (QLDB) only charges for its actual usage. There are no minimum fees or obligatory service use. Costs arise separately for write/read IO requests, journal storage, indexed storage, and data transfer. Customers do not need to anticipate storage or IOs. Charges for database storage and IOs are based on per GB-month and per million requests, respectively. This includes the data written, history, indexes, and system-generated metadata.

↗ More information on AWS website

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