Category: Advanced (300)

Managed Blockchain follows an event-driven architecture. We can open up a wide range of analytic approaches by streaming events to Amazon Kinesis. For instance, we could analyze events in near-real time with Kinesis Data Analytics, perform petabyte scale data warehousing with Amazon RedShift, or use the Hadoop ecosystem with Amazon EMR. This allows us to use the right approach for every blockchain analytics use case.
In this post, we show you one approach that uses Amazon Kinesis Data Firehose to capture, monitor, and aggregate events into a dataset, and analyze it with Amazon Athena using standard SQL.

Amazon Relational Database Service (Amazon RDS) for Oracle provides newer versions of databases so you can keep your DB instances up-to-date. These versions can include bug fixes, security enhancements, and other improvements. When Amazon RDS for Oracle supports a new version, you can choose how and when to upgrade your DB instances. As you may […]

August 2025: This post was reviewed and updated for accuracy. PostgreSQL has become the preferred open-source relational database for many enterprise developers and startups, and powers leading business and mobile applications. Amazon Web Services (AWS) offers Amazon Relational Database Service (Amazon RDS) and Amazon Aurora as fully managed relational database services. Amazon RDS for PostgreSQL […]

June 2025: This post was reviewed for accuracy. You can build highly distributed applications using a multitude of purpose-built databases by decoupling complex applications into smaller pieces, which allows you to choose the right database for the right job. Amazon Aurora is the preferred choice for OLTP workloads. Aurora makes it easy to set up, […]

If you have complex data types such as maps and lists in your Amazon DynamoDB data, refer to Part 2 of this series. Bulk updates to a database can be disruptive and potentially cause downtime, performance impacts to your business processes, or overprovisioning of compute and storage resources. When performing bulk updates, you want to […]

June 2023: Amazon DynamoDB can now import Amazon S3 data into a new table. DynamoDB import from S3 helps you to bulk import terabytes of data from Amazon S3 into a new DynamoDB table with no code or servers required. November 2022: This post was reviewed and updated for accuracy. This post reviews what solutions […]

This blog post was last reviewed and updated July, 2024. Amazon Relational Database Service (RDS) enables you to use AWS Identity and Access Management (IAM) to manage database access for Amazon RDS for PostgreSQL database instances and Amazon Aurora PostgreSQL clusters. Database administrators can associate database users with IAM users and roles. With IAM database authentication, you don’t need to use a […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. May 2025: This post was reviewed and updated for accuracy. As organizations grow their database footprint across multiple AWS accounts, maintaining visibility into database operations becomes increasingly challenging. This post demonstrates how to implement a centralized logging solution using Amazon […]

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Many graph applications can benefit from the ability to capture changes to items stored in an Amazon Neptune database, at the point in time when such changes […]

This blog post was last reviewed or updated May, 2023. The updated version shown below is based on working backwards from a customer need to use RDS Performance Insights metrics in their APM tool for database observability. Amazon RDS Performance Insights is a feature that monitors Amazon Relational Database Service (Amazon RDS) database instances so […]