Storage types in GCP vs AWS and Azure cloud

 Here's a comparison of storage types available in Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure:

1. Object Storage:

   - GCP: Cloud Storage

   - AWS: Amazon S3 (Simple Storage Service)

   - Azure: Azure Blob Storage

2. Block Storage:

   - GCP: Persistent Disk

   - AWS: Amazon Elastic Block Store (EBS)

   - Azure: Azure Managed Disks

3. File Storage:

   - GCP: Cloud Filestore

   - AWS: Amazon Elastic File System (EFS)

   - Azure: Azure Files

4. In-Memory Data Store:

   - GCP: Cloud Memorystore (supports Redis and Memcached)

   - AWS: Amazon ElastiCache (supports Redis and Memcached)

   - Azure: Azure Cache for Redis

5. NoSQL Database:

   - GCP: Cloud Firestore, Cloud Bigtable

   - AWS: Amazon DynamoDB

   - Azure: Azure Cosmos DB

6. Relational Database:

   - GCP: Cloud Spanner

   - AWS: Amazon RDS (Relational Database Service)

   - Azure: Azure SQL Database

7. Data Warehousing:

   - GCP: BigQuery

   - AWS: Amazon Redshift

   - Azure: Azure Synapse Analytics (formerly SQL Data Warehouse)

8. Archive Storage:

   - GCP: Cloud Storage Coldline, Archive

   - AWS: Amazon S3 Glacier

   - Azure: Azure Archive Storage

It's important to note that while there are similarities in the storage types provided by GCP, AWS, and Azure, there may be differences in terms of specific features, performance characteristics, pricing models, and regional availability. It's advisable to consult the respective cloud providers' documentation for detailed information on each storage service and evaluate which one best fits your specific requirements.