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A year ago, on Invent, the executives at Amazon Web Services Inc. did not seem to be in a hurry to launch new products for developers in the blockchain space. Last month it changed quickly when AWS introduced two new services designed to make the blockchain easier to use and scale to support applications.
"In scenarios where customers really wanted decentralized trust and smart contracts, it's here that blockchain frameworks like Hyperledger Fabric and Ethereum play a role," said Rahul Pathak (pictured left), general manager of big data, date lakes and blockchain at AWS. "But they're just super complicated to use, which is why we created Amazon Managed Blockchain – to make it easier to set up, scale and monitor these networks so that customers can focus on creating applications."
Pathak spoke with John Furrier (@furrier) and Dave Vellante (@dvellante), co-host of theCUBE, the SiliconANGLE Media livestreaming studio, during AWS re: Invent in Las Vegas. He was joined by Shawn Bice (pictured right), vice president of non-relational database at AWS, and they discussed the introduction of tools designed to make the blockchain easier to use and a new way to archive and analyze the information in a data lake. (* Disclosure below.)
Cryptographically verifiable log
Together with Managed Blockchain, AWS has also implemented the Quantum Ledger Database, or QLDB, designed to provide a transparent, immutable and cryptographically verifiable transaction log. The database can track all changes in application data over time and ensure that transactions remain permanent.
"Once the transaction is written in a newspaper, it can not be changed at all," explained Bice. "When considering the use cases, particularly the centralized trust scenario, QLDB does exactly that."
Immutable transactions mean the accumulation of significant amounts of data, so AWS has also created a new tool called Lake Formation to help users create a secure data lake. The repository will store the data in its original form and will also prepare it for analysis.
"With Lake Formation, what we are trying to do is make it easy to create data lakes," said Pathak. "Now customers can simply use Lake Formation, set up data lakes, take care of their data, protect them in one place and then apply these policies to all the analyzes and services they could use."
Watch the full video interview below and be sure to check out more about SiliconANGLE and AWS CAE coverage: Invent. (* Disclosure: Amazon Web Services Inc. has sponsored this segment of theCUBE, neither AWS nor other sponsors have editorial control over the contents of theCUBE or SiliconANGLE.)
Photo: SiliconANGLE
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