Amazon Launches Quantum Ledger Database and AWS Managed Blockchain

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E-commerce giant Amazon has recently unveiled two new services in an effort to help businesses manage transactions that require full auditability.

Initially debut in late November, Amazon Quantum Ledger Database (QLDB) is a ledger database overseen by a central trusted authority developed to boost immutability and transparency of cryptographically verifiable transaction logs. In addition, the new service is also capable of automatically scaling and executing two to three times more transactions compared to other preexisting services.

As Amazon Web Services (AWS) CEO Andy Jassy was quoted as saying, the product “will be really scalable, you’ll have a much more flexible and robust set of APIs [application program interfaces] for you to make any kind of changes or adjustments to the ledger database.”

As more broadly described in the product’s website:

“With QLDB, your data’s change history is immutable — it cannot be altered or deleted — and using cryptography, you can easily verify that there have been no unintended modifications to your application’s data.”

Concomitant with QLDB’s introduction, Amazon has also launched AWS Managed Blockchain, a product designed to enable users to manage and adjust scalable blockchain networks. The product, which operates alongside QLDB, automatically scales based on a specific application’s needs, and deployed via managing certificates, providing network access to new users and monitoring metrics, including storage resources, computer usage, as well as memory.

Prior the Amazon’s product launch, the company has been granted proprietary rights, as it obtains two patents for products designed to protect the integrity of digital signatures and improve the storage of distributed data. As detailed in the filing, the first proposal describes a “signature delegation” method for “protecting the integrity of digital signatures and encrypted communications.” The second proposal discusses a “grid encoding technique” for distributed data storage through groups of “shards,” each of which represents data items which are logically distributed and stored in a particular grid.