AWS Database Blog

Category: Amazon Keyspaces (for Apache Cassandra)

Announcing Amazon Keyspaces Time to Live (TTL) general availability

Time to Live (TTL) is a widely used feature in Apache Cassandra. TTL helps developers manage storage costs and simplify application logic by expiring data automatically at a specified time. For example, you can use TTL in time series workloads to remove older data automatically to save on storage costs. You also can use TTL […]

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Build purpose-built database AMIs using Amazon EC2 Image Builder

Managing virtual machine images that you standardize through configuration, consistent security patching, and hardening (also called “golden images”) is a time-consuming task. System administrators and database administrators responsible for these tasks have to define the characteristics of these images (such as which software to pre-install, which versions to use, and which security configurations to apply). […]

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Connect to Amazon Keyspaces from your desktop using IntelliJ, PyCharm, or DataGrip IDEs

AWS customers use Amazon Keyspaces (for Apache Cassandra) to modernize their Cassandra workloads. Keyspaces offers customers scalability and fast performance to provide users a great end-user experience. Amazon Keyspaces is a scalable, highly available, and managed Apache Cassandra-compatible database service. With Amazon Keyspaces, you can run your Cassandra workloads on AWS using the same Cassandra […]

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Idea to product: PricewaterhouseCoopers launches Check-In within three months on Amazon Keyspaces

The COVID-19 pandemic presented enterprises with various challenges. Enterprises notably need to safeguard employees, partners, and customers when they return to the office. Holistic workforce strategies require a combination of preventative screening tools and detailed contact tracing solutions. PricewaterhouseCoopers LLP (PwC) quickly responded and adapted to develop Check-In, powered by AWS. Check-In provides companies with […]

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Build an Amazon Keyspaces (for Apache Cassandra) data model using NoSQL Workbench

In this post, we build an end-to-end data model for an internet data consumption application. Data modeling provides a means of planning and blueprinting the complex relationship between an application and its data. Creating an efficient data model helps to achieve better query performance. An inefficient data model can slow development and performance, increase costs, […]

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Compress and conquer with Amazon Keyspaces (for Apache Cassandra)

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra-compatible database service that enables you to run Cassandra workloads more easily by using a serverless, pay-as-you-go solution. With Amazon Keyspaces, you don’t have to worry about configuring and optimizing your Cassandra cluster for your mission-critical, operational workloads. Amazon Keyspaces provides you […]

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How to set up command-line access to Amazon Keyspaces (for Apache Cassandra) by using the new developer toolkit Docker image

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and fully managed Cassandra-compatible database service. Amazon Keyspaces helps you run your Cassandra workloads more easily by using a serverless database that can scale up and down automatically in response to your actual application traffic. Because Amazon Keyspaces is serverless, there are no clusters or […]

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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 […]

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