• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

AWS Announces General Availability of Amazon Quantum Ledger Database (QLDB)

September 10, 2019 By admin Leave a Comment

Today, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced the general availability of Amazon Quantum Ledger Database (QLDB), a fully managed service that provides a high-performance, immutable, and cryptographically verifiable ledger for applications that need a central, trusted authority to provide a permanent and complete record of transactions across industries like retail, finance, manufacturing, insurance, and human resources. Amazon QLDB offers familiar database capabilities that make it easy to use, and its document-oriented data model is flexible, enabling customers to store structured and unstructured data in the ledger. There are no upfront commitments to use Amazon QLDB, and customers pay for what they use. To get started with Amazon QLDB visit https://aws.amazon.com/qldb.

Amazon QLDB provides a high-performance, immutable, cryptographically verifiable ledger for applications where multiple parties work with a centralized, trusted authority to maintain a complete, verifiable record of transactions

Splunk, Klarna Bank, Driver and Vehicle Licensing Agency, and Accenture among customers and partners using Amazon QLDB

Customers looking to implement blockchain technologies are typically trying to accomplish one of two things. Some customers want the immutable and verifiable record of transactions provided by a ledger, however they also want to allow multiple parties to transact, execute contracts, and share data anonymously, without the need for a trusted central authority (e.g. transferring reward points across a network of vendors, or processing transactions that concern a number of different trade and logistics companies). Today, Amazon Web Services offers customers Amazon Managed Blockchain for this use case. There are other customers who have applications that need a centralized ledger to record all changes or transactions and maintain an immutable record of these changes (e.g. tracing the movement of an item through a supply chain network, tracking the history of credits and debits in banking transactions, or validating incidents filed against an insurance claim). This ledger is owned by a single trusted entity and is shared with any number of organizations that are working together. To do this today, customers can use relational databases, or they can use the ledger technology in one of the open source blockchain frameworks. Neither solution is optimal. Relational databases aren’t built for immutable, cryptographically verifiable ledger entries, so customers must build audit trails and audit logs. And, there is no way for customers to verify that unintended changes were not made to the data. Using the ledger in a blockchain framework may give customers an immutable history of data changes, but comes at the cost of the heavy lifting to set up a full blockchain network with at least two nodes and all of the associated access control configuration. Because there are limited database Application Programming Interfaces (APIs) within the blockchain frameworks it is also challenging to create tables, index, and query data. Finally, blockchain frameworks are decentralized and require consensus from members in the network before committing new transactions to the shared ledger, which significantly slows ledger performance.

Amazon QLDB is a new class of database that provides a high-performance, immutable, and cryptographically verifiable ledger that customers can use to build applications that act as a system of record, where multiple parties are transacting with a centralized, trusted entity. Amazon QLDB removes the need to build complex audit functionality into a relational database or rely on the ledger capabilities of a blockchain framework. Amazon QLDB uses an immutable transactional log, known as a journal, which tracks each and every application data change and maintains a complete and verifiable history of changes over time. All transactions must comply with atomicity, consistency isolation, and durability (ACID) to be logged in the journal, and cannot be deleted or modified. All changes are cryptographically chained and verifiable in a history that customers can analyze using familiar SQL queries. Amazon QLDB is serverless, so customers don’t have to provision capacity or configure read and write limits. They simply create a ledger, define tables, and Amazon QLDB will automatically scale to support application demands, and customers pay only for the reads, writes, and storage they use. And, unlike the ledgers in common blockchain frameworks, Amazon QLDB does not require distributed consensus, so it can execute two to three times as many transactions in the same time as common blockchain frameworks.

“For years, AWS has been using an internal version of Amazon QLDB to store configuration data for some of its most critical systems, and has benefitted from being able to view an immutable history of changes. Over time, our customers have asked us for the same ledger capability, and a way to verify that the integrity of their data is intact,” said Shawn Bice, VP, Databases, Amazon Web Services, Inc. “Today, we are proud to announce Amazon QLDB, offering customers a fully managed service that provides the same ledger capabilities, along with the ability to cryptographically verify data integrity. We are excited to see customers streamline their operations and enhance their customer and partner experiences by using Amazon QLDB to do things like keep track of credit and debit transactions across customer bank accounts and reconcile data between supply chain systems to track the complete manufacturing history of a product.”

Amazon QLDB is available today in US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and EU (Ireland), with additional regions coming soon.

Splunk Inc. helps organizations ask questions, get answers, take actions, and achieve business outcomes from their data. “Data is a strategic asset that organizations rely upon to operate and succeed,” said Nate McKervey, head of Blockchain and DLT, Splunk. “It is that organizations can trust their data as it is dispersed across teams and the cloud, but not every use case requires a decentralized ledger. We are excited about the potential for Amazon QLDB to provide a way to trust and verify the integrity of data without the complexity of operating a blockchain network.”

Klarna Bank is one of Europe’s largest banks, providing payment solutions to 60 million consumers across 130,000 merchants in 14 countries. “We’re building our own banking platform from the ground up. We need this platform to be scalable, compliance-friendly, cost-effective, and have real-time capabilities,” said Ziad Sawalha, VP Engineering of Core Banking, Klarna Bank. “To support this platform, we needed a cryptographically-verifiable and immutable transaction log at the core. We experimented with blockchain earlier this year and realized that a decentralized ledger did not really meet our needs as it was too complicated to operate and not sufficiently performant. With the release of Amazon QLDB we can leverage the AWS’s investment in a centralized ledger database to solve that problem, allowing us to focus our engineers on other, customer-centric aspects of the platform.”

Bank of Yokohama, a member of Concordia Financial Group, is the largest regional bank in Japan. “While designing and building applications to support banking operations, we need to ensure that the general ledger is up-to-date with the record of a client’s attribution and deposit balances. In addition to that, we need to retain the logs of our general ledger, including all of its transaction activity and modification history,” said Takahisa Kawahara, Group Leader, ICT Planning & Promotion Department, Bank of Yokohama. “Amazon QLDB allows us to automatically save the modification history and verify the consistency of the log. The solution reduces human error while keeping the development cost low. We look forward to leveraging Amazon QLDB for core banking operations.”

Driver and Vehicle Licensing Agency (DVLA) is a central government agency responsible for the registration and licensing of over 48 million drivers in Great Britain, and over 40 million vehicles in the UK. “The registers we maintain are critical to a wide range of public and private sector services, so trust in how we handle data is vital,” said Matt Lewis, Chief Architect, DVLA. “Amazon QLDB has the potential to bring significant benefits to the way we process information, and we’re excited to be exploring how this emerging technology further supports our services.”

Zilliant’s SaaS solutions are powered by advanced technologies in order to enable B2B companies to transform data into actionable intelligence, ranging from price list management to advanced AI-driven pricing, and sales guidance. “Zilliant’s products allow customers to manage their product price lists and customer agreements with their clients,” said Shams Chauthani, CTO and SVP R&D, Zilliant. “Given the sensitive nature of the information being managed by these products, it is critical to maintain verifiable audit logs of the changes to prices and agreement terms. In some cases, due to compliance requirements, these audit logs must be immutable. We are excited to be exploring Amazon QLDB as a way to seamlessly capture cryptographically verifiable audit logs that can stand up to the strict compliance requirements of our customers.”

Wipro Limited is a leading information technology and consulting services company with a dedicated workforce of over 180,000 employees, serving clients across six continents. “We are excited to be working with Amazon QLDB to extend our offerings and solutions to address the current and future needs of our customers,” said Joshua Satten, Blockchain Partner North America, Wipro. “We believe that Amazon QLDB will be particularly useful in helping us and our customers record their application data in an immutable and verifiable way while still architecting their applications around a centralized system that is easy to use.”

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology, and operations. “Businesses in Asia are rapidly adopting blockchain technologies, yet many customers ask Accenture how to handle the complexity of blockchain, and make it simpler and more practical for them,” said Daniel Gunawan, Managing Director, Intelligent Software Engineering Services, Accenture ASEAN. “Amazon QLDB answers that need by combining the data integrity of blockchain with the speed and simplicity of a centrally owned datastore. Amazon QLDB tracks every application data change and maintains a complete and verifiable history of transactions over time, combining scalability and ease of management. Accenture sees great potential for customers developing business innovations with Amazon QLDB.”

Source: Amazon

Filed Under: Tech Tagged With: QLDB, Quantum Ledger Database

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Footer

Recent Posts

  • The Humanoid Trap: Form Factor as Distraction in Industrial Robotics
  • Hark Raises $700M Series A at $6B: The Vertical Integration Bet on Personal AI
  • Apple Brings Apple Intelligence to Accessibility, Adds Wheelchair Eye Control for Vision Pro
  • RADAR Raises $170M to Bring Real-Time Inventory Intelligence to Physical Retail
  • Anthropic’s Stainless Acquisition Is an Infrastructure Seizure Disguised as a Developer Tools Deal
  • Blackstone and Google Are Building an AI Infrastructure Giant Outside the Traditional Cloud Model
  • Mind Robotics Crosses $1B in Total Funding; Rivian Is the Quiet Disclosure
  • Quantum Motion Raises $160 Million Series C to Scale Silicon-Based Quantum Computing
  • Fazeshift Raises $17 Million Series A to Automate Accounts Receivable With Autonomous AI Agents
  • Instant Power Becomes the Next AI Infrastructure Battleground as Nyobolt Raises $60 Million

Media Partners

  • Market Analysis
  • Cybersecurity Market
  • App Coding
Quantum Computing Stocks Face Violent Selloff the Moment Markets Reopen Tuesday
The $2.6 Trillion Signal: What Gartner’s AI Spending Forecast Actually Tells You
The Productivity Is Already Here. The Bubble Narrative Is Not.
The Collingridge Dilemma
Why Memory Prices Won’t Come Down
The Bill Comes Due
The Software-Defined Camera Won. The Open OS Did Not.
Cars Are Computers Now, and Most Carmakers Aren’t
Gartner: Global IT Spending to Hit $6.31 Trillion in 2026, Driven by AI Infrastructure
The SDK Generator Benchmarks: Infrastructure vs. Convenience
IdentityTheft.org Sells for $30,000 on Sedo
Infosecurity Europe 2026, June 2–4, London
Ocean Launches From Stealth With $28 Million to Reinvent Email Security Using AI Agents
Salt Typhoon, Volt Typhoon, Flax Typhoon: China’s 2024 Campaign Against U.S. Infrastructure
Foreign Criminal Cyberattacks Against the United States: Ransomware, Botnets, and Financial Fraud
Iran’s Cyber Operations: Infrastructure Attacks, Election Interference, and IRGC Proxies
North Korea’s Cyber Program: From Sony to Blockchain Theft
Russia’s State Cyber Operations: From SolarWinds to Logistics Warfare
China’s Cyber Campaigns Against the United States: Two Decades of Documented Operations
How the U.S. Government Attributes Cyberattacks — and Why It Is Harder Than It Looks
DigitalOcean Launches AI-Native Cloud at Deploy 2026
Verdent Updates AI Platform to Function as a Full Engineering Team for Solo Builders
The Side Project App Is Not Dead. The Side Project App Business Is.
The App Monetization Landscape Has Changed and Most Teams Have Not Caught Up
Building Offline-First Mobile Apps Is Harder Than It Looks and Worth It
State Management in React Native Has Too Many Options and One Right Answer
Mobile Accessibility Is the Case Developers Keep Ignoring
Testing Mobile Apps at Scale Without Losing Your Mind
App Store Optimization in 2026 Is a Different Game Than It Was
Cross-Platform vs Native: The Honest Assessment Nobody Gives You

Media Partners

  • Market Research Media
  • Technology Conferences
  • API Coding
Tuesday Open: AI Earnings Engine Holds the Line as Iran Overhang Fades to Noise
China’s U.S. Treasury Holdings: The Great Repositioning (2021–2025)
Infographic: Why the 2025 CIPA Data Proves the APS-C Renaissance is Real
How WiFi Changed Media
Canva Acquires Simtheory and Ortto to Build End-to-End Work Platform
Netflix Price Hikes, The Economics of Dominance in a Saturated Streaming Market
America’s Brands Keep Winning Even as America Itself Slips
Kioxia’s Storage Gambit: Flash Steps Into the AI Memory Hierarchy
Mamdani Strangling New York
The Rise of Faceless Creators: Picsart Launches Persona and Storyline for AI Character-Driven Content
Baird 2026 Global Consumer, Technology & Services Conference, June 2–4, New York
D.A. Davidson Technology Conference, June 11, 2026, Nashville
Bank of America Global Technology Conference, June 4, 2026, San Francisco
William Blair Growth Stock Conference, June 3, 2026, Chicago
TD Cowen Technology, Media & Telecom Conference, May 27, 2026, New York
J.P. Morgan Global Technology, Media and Communications Conference, May 18–20, 2026, Boston
Technology Investor Conference Circuit, May–June 2026
Automate 2026 Sets Its Agenda Around AI’s Role in Industrial Transformation, June 22–25, 2026, McCormick Place in Chicago
IBM Think 2026, May 5–8, Boston, Massachusetts, USA
AI & Creativity Summit New York 2026, May 14, The Lighthouse Brooklyn
Why Private Domain Data Is the Real Key to AI That Actually Works
Orkes Raises $60M to Bring Production-Grade AI Orchestration to Enterprise Developers
Form.io Launches MCP Server and Agentic Coding Toolset for Governed Enterprise AI Development
Appdome Upgrades MobileBOT Defense With Identity-First Mobile API Protection
Five SDK Generators Compared: Speakeasy, Stainless, Fern, APIMatic, and OpenAPI Generator
API Monetization Models That Work and the Ones That Drive Developers Away
gRPC in Production: What the Documentation Doesn't Tell You
Event-Driven Architecture vs Request-Response: Choosing the Right Communication Pattern
The Business Case for Internal APIs That Most Engineering Leaders Ignore
Breaking Changes: How to Avoid Shipping Them and What to Do When You Must

Copyright © 2026 Technologies.org

Media Partners: Market Analysis · Market Research · Referently · Photography