AWS Storage Gateway vs Google Cloud Dataflow: What are the differences?
What is AWS Storage Gateway? Connect your on-premises IT environment with AWS’s storage infrastructure for data backup and disaster recovery. The AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage. Once the AWS Storage Gateway’s software appliance is installed on a local host, you can mount Storage Gateway volumes to your on-premises application servers as iSCSI devices, enabling a wide variety of systems and applications to make use of them. Data written to these volumes is maintained on your on-premises storage hardware while being asynchronously backed up to AWS, where it is stored in Amazon Glacier or in Amazon S3 in the form of Amazon EBS snapshots. Snapshots are encrypted to make sure that customers do not have to worry about encrypting sensitive data themselves. When customers need to retrieve data, they can restore snapshots locally, or create Amazon EBS volumes from snapshots for use with applications running in Amazon EC2. It provides low-latency performance by maintaining frequently accessed data on-premises while securely storing all of your data encrypted.
What is Google Cloud Dataflow? A fully-managed cloud service and programming model for batch and streaming big data processing. Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
AWS Storage Gateway and Google Cloud Dataflow are primarily classified as "Data Backup" and "Real-time Data Processing" tools respectively.
Some of the features offered by AWS Storage Gateway are:
- Gateway-Cached Volumes – Gateway-Cached volumes allow you to utilize Amazon S3 for your primary data, while retaining some portion of it locally in a cache for frequently accessed data.
- Gateway-Stored Volumes – Gateway-Stored volumes store your primary data locally, while asynchronously backing up that data to AWS.
- Data Snapshots – Gateway-Cached volumes and Gateway-Stored volumes provide the ability to create and store point-in-time snapshots of your storage volumes in Amazon S3.
On the other hand, Google Cloud Dataflow provides the following key features:
- Fully managed
- Combines batch and streaming with a single API
- High performance with automatic workload rebalancing Open source SDK