Alternative AWS DynamoDB services in azure and gcp

Here are some alternative NoSQL database services to AWS DynamoDB and steps to use them on Azure and GCP:

1. Azure Cosmos DB

Azure Cosmos DB is a globally distributed, multi-model NoSQL database service on Azure that provides high availability, low latency, and seamless scaling.

To use Azure Cosmos DB:

• Log in to the Azure portal
• Click on “Create a resource” and search for “Azure Cosmos DB”
• Select “Azure Cosmos DB” from the list of services and click “Create”
• Choose a subscription, resource group, and database name
• Choose an API, such as MongoDB, Cassandra, or Azure Table, and a region
• Configure performance, availability, and security settings
• Create a container to store your data
• Write code to interact with your database using the chosen API

2. Google Cloud Firestore

Google Cloud Firestore is a fully managed, serverless NoSQL document database service on GCP that provides real-time data synchronization and offline support for mobile and web apps.

To use Google Cloud Firestore:

• Log in to the Google Cloud Console
• Click on “Create instance” in the Firestore section
• Choose a region and project for your database
• Choose a mode, such as Native mode or Datastore mode, and a location
• Configure performance, security, and data storage settings
• Create a collection to store your data
• Write code to interact with your database using the chosen API

3. Google Cloud Datastore

Google Cloud Datastore is a NoSQL document database service on GCP that provides automatic scaling, high availability, and strong consistency for your data.

To use Google Cloud Datastore:

• Log in to the Google Cloud Console
• Click on “Create instance” in the Datastore section
• Choose a region and project for your database
• Choose a mode, such as Native mode or Datastore mode, and a location
• Configure performance, security, and data storage settings
• Create an entity to store your data
• Write code to interact with your database using the chosen API

Note: These are simplified steps and may vary depending on your use case and specific requirements. Please refer to the official documentation for each service for detailed instructions.