AWS Database Blog
Category: Database
Loading data into Amazon Keyspaces with cqlsh
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 […]
Read MoreConfiguring Microsoft SQL Server Analysis Services on Amazon RDS for SQL Server
You can now configure Microsoft SQL Server Analysis Services (SSAS) in the Tabular model on Amazon RDS for SQL Server. SSAS works in the Single-AZ configuration for both Standard and Enterprise editions using either the 2016 or 2017 SQL Server Major version. If you run SSAS on Amazon EC2, you can save on costs by […]
Read MoreConverting the SYSDATE function from Oracle to PostgreSQL
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 Start?, Migration process and infrastructure considerations, Source database […]
Read MoreGetting Started with Amazon DocumentDB (with MongoDB compatibility); Part 2 – using AWS Cloud9
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 or 4.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. As a […]
Read MoreMigrating a Neo4j graph database to Amazon Neptune with a fully automated utility
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 […]
Read MoreGetting started with Amazon DocumentDB (with MongoDB compatibility); Part 1 – using Amazon EC2
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 or 4.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. As a […]
Read MoreLower the cost of building graph apps by up to 76% with Amazon Neptune T3 instances
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 […]
Read MoreUsing in-Region read replicas in Amazon RDS for SQL Server
Amazon RDS for SQL Server now supports in-Region read replicas, which give you the ability to offload your read workloads from your primary database instance to a replica. Read replicas use the built-in distributed availability groups feature and are available for Enterprise Edition. A distributed availability group is an availability group that spans two separate […]
Read MoreGetting started with Amazon RDS managed databases in your on-premises VMware environment
Amazon RDS on VMware extends the managed database experience of AWS Relational Database Service (RDS) to your on-premises VMware environment using the Amazon RDS technology that hundreds of thousands of customers enjoy. This post demonstrates how VMware administrators and database administrators can deploy RDS on VMware environments. It discusses how to prepare your on-premises vSphere […]
Read MoreRecap of Amazon RDS and Aurora features launched in 2019
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity. At the same time, it automates time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups. It frees you to focus on your applications so you […]
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