AWS Database Blog

AWS AppSync is a fully managed service that makes it easy to develop GraphQL APIs by handling the heavy lifting of securely connecting to data sources like Amazon DynamoDB, AWS Lambda, and more. Adding caches to improve performance, subscriptions to support real-time updates, and client-side data stores that keep off-line clients in sync are just […]

This is a guest blog post by Ioanna Lytra, Data & Knowledge Engineer, and Albin Ahmeti, Data & Knowledge Engineer, at the Semantic Web Company. According to the International Data Corporation (IDC), more data will be created in the next 3 years than in the prior 30 years combined. In the ideal world, this data […]

Customers running their database workloads using Amazon DocumentDB (with MongoDB compatibility) might need to replicate data from one AWS account to another. By doing so, you can achieve faster development or QA environment refreshes, which provides a production-like environment to troubleshoot current production issues, and share data with partners. Amazon DocumentDB provides support for copying […]

Many database users spend a considerable amount of time architecting their database for high availability. High availability is critical for business continuity. With the AWS Cloud, you can create highly available databases using Amazon Relational Database Service (Amazon RDS). Amazon RDS is a fully managed database service that makes it easy to set up, operate, […]

We had a great time at RedisConf 2021. AWS was proud to participate as a platinum sponsor this year. Thanks to those of you who joined us at the conference—we enjoyed seeing you there virtually! This year, our Amazon ElastiCache experts led five sessions focused on technical deep dives on Redis, best practices for ElastiCache, […]

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Traditional relational databases require time spent on capacity planning, maintenance, backup, and recovery; a substantial amount of a database administrator’s time is lost to these tasks. Amazon RDS helps DBAs time spent on other […]

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Traditional relational databases require time spent on capacity planning, maintenance, backup, and recovery; a substantial amount of a database administrator’s time is lost to these tasks. Amazon RDS helps DBAs to focus on other […]

Amazon Quantum Ledger Database (Amazon QLDB) is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log. You can use Amazon QLDB to track each application data change, and it maintains a complete and verifiable history of changes over time. Because of those key features, banking customers have adopted Amazon QLDB as a database […]

As enterprises migrate large applications and large on-premises backend databases to AWS, you likely want to place the databases closer to your customers for low latency and better application performance. This isn’t always easy because your customers may be located all over and on-premises data centers are usually at a handful of locations. This means […]

As enterprises migrate large applications and large on-premises backend databases to AWS, you likely want to place the databases closer to your customers for low latency and better application performance. This isn’t always easy because your customers may be located all over and on-premises data centers are usually at a handful of locations. This means […]