Service-specific credentials are similar to the password and username Cassandra uses for access management. Service-specific credentials for an existing AWS IAM user are a prerequisite to follow the steps in this post. Otherwise, you can also download the evaluation version of these softwares, which are free only for 30 days. The funtionalities covered in this post are available in the Enterprise version of the various IDEs developed by JetBrains. The ultimate goal of the tutorial is to enable you to prepare a working development environment where you can start building modern applications with Amazon Keyspaces. In addition, I’ve written a guide to creating new Amazon Keyspaces tables and running CQL queries as well. To connect to your Amazon Keyspaces from a local IDE, follow the instructions provided in this tutorial. This lets you write code and iterate on schemas within the same tool. To better develop with Amazon Keyspaces, it’s beneficial to be able to connect to it directly from your development environment. You need only pay for the services you use, making Keyspaces a highly time and cost-efficient tool.Ĭonnecting to amazon keyspaces from your IDE:

It is very convenient for developers because it allows them to run Cassandra workloads on AWS without needing to master new application code and developer tools.Īmazon Keyspaces is serverless, so you do not need to provision, patch, or manage servers. Why use Amazon Keyspaces (for Apache Cassandra)?Īmazon Keyspaces is compatible with Apache Cassandra.

It’s an open-source project, meaning anyone can freely modify and distribute it.You can read more on Apache Cassandra here. Instead, the data is stored across multiple nodes and is accessed via a column-oriented structure called a ring. It is similar to a traditional relational database but doesn’t rely on tables. Hence, Amazon Web Services (AWS) customers use Amazon Keyspaces (for Apache Cassandra) in order to modernize their Cassandra workloads.Īpache Cassandra is a non-relational database that offers fast read and write performance. It is a readily available service that can handle a high range of requests per second.

Amazon Keyspaces is a database service highly compatible with Apache Cassandra.

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