Getting Started with Amazon Keyspaces (for Apache Cassandra)


Learn the basics. Create your first keyspaces and tables, set up command-line and programmatic access, and access Amazon Keyspaces by using Cassandra drivers.

Get started with Amazon Keyspaces

This tutorial provides step-by-step instructions for creating keyspaces and tables.

Set up credentials for programmatic access

Learn how to set up credentials for programmatic access to Amazon Keyspaces.

Access Amazon Keyspaces by using Cassandra drivers

Learn how to access Amazon Keyspaces by using your existing Cassandra drivers or cqlsh.

Loading data into Amazon Keyspaces using DSBulk

Migrate data from Apache Cassandra to Amazon Keyspaces using the DataStax Bulk Loader (DSBulk).

Connect to Amazon Keyspaces from your desktop IDEs

Learn how to connect to Amazon Keyspaces from your local machine using IntelliJ, PyCharm, or DataGrip IDEs.

Getting started with NoSQL Workbench

Learn how to use NoSQL Workbench to design and visualize non-relational data models for Amazon Keyspaces more easily.

Training courses

Learn from AWS experts, and advance your skills and knowledge about Amazon Keyspaces.

Migrating from Apache Cassandra to Amazon Keyspaces (30 minutes)

Learn how to migrate a self-managed Apache Cassandra cluster to a fully managed keyspace by using Amazon Keyspaces.

Moving to managed databases on AWS (30 minutes)

Learn the benefits of and process for moving from self-managed databases to fully managed Amazon database solutions.


Learn Amazon Keyspaces concepts by watching these expert-led sessions.

AWS re:Invent 2020: Running Apache Cassandra workloads with Amazon Keyspaces

Deep dive on Amazon Keyspaces architecture and key features. Learn how PricewaterhouseCoopers uses Amazon Keyspaces to store data for its proximity contact-tracing mobile application.

AWS re:Invent 2019 Launchpad | What's New in Databases

How to get started using Amazon Keyspaces with just a few clicks in the console or a few lines of code.

ApacheCon @Home 2020 - Advanced data modeling techniques for Cassandra

Use these advanced techniques to build highly scalable, fast, and robust data models. Learn how to model your data based on your queries and access patterns so that your application can scale up as traffic grows.

re:Invent 2019: Leadership session: AWS purpose-built databases

Learn about how customers are using AWS purpose-built databases to build some of the most scalable applications on the planet.

Read the documentation
Read the documentation

Learn more about Amazon Keyspaces by reading the documentation.

Read the documentation 
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Start building in the console
Start building in the console

Get started building with Amazon Keyspaces in the AWS Management Console.

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