AWS Database Blog

When using a NoSQL database such as Amazon DynamoDB, I tend to make different optimization choices than what I am accustomed to with relational databases. At the beginning, it was not easy for me, because my relational database experience was telling me to do things differently. To help with that, AWS released NoSQL Workbench for […]

This is a guest post by James Byrne, Engineering Leader at Zendesk, focusing on data pipeline development and operations for the Zendesk Explore analytics product, and Giedrius Praspaliauskas, AWS Solutions Architect. Zendesk is a CRM company that builds support, sales, and customer engagement software designed to foster better customer relationships. From large enterprises to startups, […]

When migrating a database to a new system using AWS Database Migration Service (DMS), it is prudent to have a fallback strategy if the new system doesn’t work as expected. At a high level, there are four basic strategies for rolling back from a migration: basic fallback, fall forward, dual write, and bidirectional replication. Depending […]

The Cassandra Query Language Shell (cqlsh) is an open-source command line shell that you can use to run CQL commands and perform database administrative tasks, such as creating and modifying tables. You can use cqlsh to get started with Amazon Keyspaces (for Apache Cassandra)—a scalable, highly available, managed Cassandra-compatible database—by loading data from a CSV […]

You can now configure Microsoft SQL Server Analysis Services (SSAS) in the Tabular or Multidimensional mode on Amazon RDS for SQL Server. SSAS works in the Single-AZ configuration for both Standard and Enterprise editions using either the 2016, 2017 or 2019 SQL Server Major version.

If you run SSAS on Amazon EC2, you can save on costs by supporting SSAS directly on Amazon RDS for SQL Server and consolidating those workloads to run on the same RDS DB instance as your SQL Server database. However, you must account for a performance impact if you decide to consolidate.

July 2023: This post was reviewed for accuracy. An Oracle to PostgreSQL migration in the AWS Cloud can be a complex, multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. For more information about the migration process, see Database Migration—What Do You Need to Know Before You […]

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 3.6, 4.0 or 5.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. As […]

Amazon Neptune is a fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. You can benefit from the service’s purpose-built, high-performance, fast, scalable, and reliable graph database engine when you migrate data from your existing self-managed graph databases, such as Neo4j. This post shows […]

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 3.6, 4.0 or 5.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. As […]

When you are building a graph application, you want a fast, cost-effective instance as you iterate to build your Apache TinkerPop or RDF/SPARQL graph application. Amazon Neptune now allows you to choose burstable performance instances (T3) in addition to the fixed performance instances (R5 and R4). Amazon Neptune db.t3.medium burstable performance instances are engineered specifically […]