Document and/or key value database

Document and key-value databases help organizations to meet the demands of user-generated data while providing ease of development, functionality, and performance at scale.

These are just a few examples of document and/or key value database solutions. Scroll down or use the drop-down menu to learn more about each solution.

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  • Couchbase Server and Sync Gateway
  • MongoDB
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Couchbase Server and Sync Gateway

Couchbase Server and Sync Gateway is a NoSQL database that delivers unparalleled performance at scale, on premises, and in the cloud. It features memory-first architecture, built-in cache, geo-distributed deployment, and workload isolation. Couchbase excels at supporting business-critical applications at scale while maintaining submillisecond latencies and 99.999% availability.

Couchbase Server and Sync Gateway features include:

  • Collaborative notebooks
  • Access to preconfigured ML environments
  • Complete ML lifecycle and optimized environments
  • Reliable data lakes
  • Highly efficient and fast data pipelines

How it works

Additional resources from Couchbase Server and Sync Gateway

Viber

Viber is a messaging platform that connects over a billion users through high-quality audio and video calls, group chats, and more. To process more than 300,000 events per second, the company needed a solution that could accommodate rapid, continuous growth at the petabyte scale. Implementing Couchbase in a multi-layered AWS architecture allowed Viber to update user profiles in real-time.

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By switching to Couchbase, we were able to scale up to 15 billion events a day. In the process, we achieved real-time performance and a more personalized and responsive customer experience.

Amir Ish-Shalom, Sr. Director of Operations & Chief Architect, Viber

MongoDB

MongoDB Atlas is a fully managed cloud database service that helps organizations deploy, operate, and scale MongoDB on Amazon Web Services (AWS). With MongoDB Atlas, you get database management, setup and configuration, software patching, monitoring, and backups, all operating on a globally distributed database. It is available in over 15 AWS Regions.

MongoDB Atlas for AWS features include:

  • Automated infrastructure provisioning, setup, and deployment
  • Self-healing clusters ensure no single point of failure
  • Visualizations and dashboards to extract actionable insights
  • Scalability for a database's compute, memory, and storage resources
  • Lightweight Directory Access Protocol (LDAP) integration, encryption key management, and database level auditing

How it works

Additional resources from MongoDB

Thermo Fisher Scientific

Thermo Fisher Scientific needed a database that could easily process a variety of fast-changing data. The company chose MongoDB because of its high performance, flexibility, and ability to deploy into any environment. With the time Thermo Fisher saves using MongoDB Atlas, they can invest more in improving their algorithms, their customer experience, and their processing infrastructure.

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Atlas is easy, performant, and seamless to migrate data into. We haven't detected any down time since migrating over. It came out in June, we jumped on it in July, and went into production in September.

Joseph Fluckiger, Senior Software Architect, Thermo Fisher Scientific

AWS Marketplace

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We're here to help you get started with AWS Marketplace. Ask for or give advice on the AWS Marketplace discussion forum.