Best NoSQL Database for Amazon Quantum Ledger Database (QLDB)

Compare the Top NoSQL Database that integrates with Amazon Quantum Ledger Database (QLDB) as of September 2025

This a list of NoSQL Database that integrates with Amazon Quantum Ledger Database (QLDB). Use the filters on the left to add additional filters for products that have integrations with Amazon Quantum Ledger Database (QLDB). View the products that work with Amazon Quantum Ledger Database (QLDB) in the table below.

What is NoSQL Database for Amazon Quantum Ledger Database (QLDB)?

NoSQL database software provides the tools to store, capture and retrieve of big data through the use of non tabular databases. Compare and read user reviews of the best NoSQL Database for Amazon Quantum Ledger Database (QLDB) currently available using the table below. This list is updated regularly.

  • 1
    Amazon DynamoDB
    Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events.
  • 2
    Amazon Neptune
    Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions.
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