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Google Cloud SQL VS Amazon Elastic File System

Compare Google Cloud SQL VS Amazon Elastic File System and see what are their differences

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Google Cloud SQL logo Google Cloud SQL

Google Cloud SQL is a fully-managed database service that makes it easy to set-up, maintain, manage and administer your MySQL database.

Amazon Elastic File System logo Amazon Elastic File System

Amazon Elastic File System is a cloud-native and serverless data store that provides simple saleable elastic shared file storage for Linux-based business applications.
  • Google Cloud SQL Landing page
    Landing page //
    2023-09-18
  • Amazon Elastic File System Landing page
    Landing page //
    2023-04-05

Google Cloud SQL features and specs

  • Fully Managed Service
    Google Cloud SQL handles maintenance, backups, and updates, allowing developers to focus on application development rather than database management tasks.
  • Scalability
    Easily scale vertically by upgrading to more powerful machine types or horizontally to handle increased workload without manual intervention.
  • High Availability
    Google Cloud SQL offers automatic failover, replication, and backup, ensuring minimal downtime and data preservation in case of failures.
  • Security
    Provides multiple layers of security including encryption at rest and in transit, along with built-in firewall rules and IAM policies for robust access control.
  • Integration
    Seamlessly integrates with other Google Cloud services like BigQuery, Compute Engine, and Google Kubernetes Engine, supporting complex architectures and workflows.

Possible disadvantages of Google Cloud SQL

  • Cost
    It can be more expensive than self-managed solutions, especially as the need for additional resources and scaling arises.
  • Vendor Lock-in
    Relying on Google Cloud SQL could create dependency on the Google Cloud ecosystem, which might complicate future migration to other platforms.
  • Customization Limitations
    Being a managed service, it has constraints on certain configurations and customizations that might be essential for specific use cases.
  • Latency
    There might be increased latency compared to on-premises solutions, particularly for applications requiring very low-latency data access.
  • Compliance
    While Google Cloud SQL complies with many regulatory standards, some industries with highly specific requirements may find it unsuitable.

Amazon Elastic File System features and specs

  • Scalability
    Amazon EFS automatically scales your file system storage capacity up or down as you add or remove files, which helps meet varying workload demands without the need for manual intervention.
  • Managed Service
    As a fully managed service, Amazon EFS handles storage infrastructure management tasks such as hardware provisioning, patching, and performance tuning, enabling users to focus on application development.
  • Elasticity
    Amazon EFS provides elastic storage capacity, so you only pay for the storage you use, which can result in cost savings and greater efficiency compared to traditional file systems.
  • Multi-AZ Resilience
    Amazon EFS is designed to be highly-available and resilient with data redundantly stored across multiple Availability Zones, ensuring durability and availability of critical workloads.
  • POSIX-Compliant
    EFS offers a POSIX-compliant file system which makes it compatible with a wide range of legacy and modern applications, easing integration and migration processes.
  • Integration with AWS Services
    It seamlessly integrates with other AWS services such as EC2, ECS, and Lambda, providing users with a cohesive and comprehensive cloud ecosystem for building and deploying applications.

Possible disadvantages of Amazon Elastic File System

  • Higher Latency
    Compared to other storage services like EBS, Amazon EFS might exhibit higher latency due to its network file system nature, potentially impacting performance-sensitive applications.
  • Cost
    Amazon EFS can be more expensive than alternatives like Amazon S3 or EBS, especially for workloads with lower IOPS requirements, due to its pricing model based on storage and access.
  • Consistency Model
    While EFS offers eventual consistency for write operations from multiple connections, this can lead to potential data visibility issues if not managed carefully in concurrent write scenarios.
  • Mount Targets Limitation
    Each Amazon EFS file system can have a limited number of mount targets per VPC, potentially restricting its usability for environments with a large number of instances across multiple subnets.
  • Limited Windows Support
    Amazon EFS is primarily designed for Linux-based workloads, which can pose challenges or require additional configurations when used with Windows-based applications.

Google Cloud SQL videos

+ Add

GCP | Google Cloud SQL | Cloud SQL Features , Read Replicas & High Availability | DEMO

Amazon Elastic File System videos

+ Add

AWS EFS Tutorial | Amazon Elastic File System | AWS Storage Services | AWS Training | Edureka

More videos:

  • Review - What's New with Amazon Elastic File System (Amazon EFS)

Category Popularity

0-100% (relative to Google Cloud SQL and Amazon Elastic File System)

Google Cloud SQL

Amazon Elastic File System

Databases
100 100%
Databases
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
Relational Databases
100 100%
Relational Databases
0% 0
Project Management
0 0%
Project Management
100% 100

User comments

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Social recommendations and mentions

Amazon Elastic File System might be a bit more popular than Google Cloud SQL. We know about 25 links to it since March 2021 and only 18 links to Google Cloud SQL. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud SQL mentions (18)

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Amazon Elastic File System mentions (25)

  • Get Started with Serverless Architectures: Top Tools You Need to Know
    AWS Lambda AWS Lambda is a compute service that runs your backend code in response to events such as object uploads and HTTP requests. It automatically handles all the capacity, patching, scaling, and administration of the infrastructure to run your AWS Lambda functions. Lambda also provides visibility and performance and automatically manages the computing resources, making it easy to build applications that... - Source: dev.to / about 1 month ago
  • ⚡🦀 Deploy a blazing-fast & Lightweight LLM app with Rust-Rig-LanceDB
    LanceDB's underlying optimized storage format, lance, is flexible enough to be supported by various storage backends, such as local NVMe, EBS, EFS, S3 and other third-party APIs that connect to the cloud. - Source: dev.to / 5 months ago
  • Mount Up! A Step-by-Step Guide to Creating and Using Amazon EFS on Ubuntu
    Amazon Elastic File System (EFS) provides a simple, scalable, and fully managed Network File System for use with AWS Cloud services and on-premises resources. This guide will walk you through the process of creating an EFS, mounting it on an Ubuntu instance, and adding files to it. - Source: dev.to / 11 months ago
  • Mastering AWS: Deploying a Complex Three-Tier Architecture for Production
    AWS EFS is a managed shared storage solution in the cloud that is compatible with NFS. In our three-tier architecture, it sits in the data layer and provides shared storage for the application tier servers. - Source: dev.to / almost 2 years ago
  • Building a Serverless AI Content Detector
    But that didn't work quite so well. Between some issues with the packages, and the amount of time it took to unzip... It just wasn't worth it. So I refactored back into using EFS to host the packages and model files. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing Google Cloud SQL and Amazon Elastic File System, you can also consider the following products

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Azure File Storage - Try Azure File Storage for managed file shares that use standard SMB 3.0 protocol. Share data with on-premises and cloud servers, integrate with apps, and more.

MySQL - The world's most popular open source database

Cyberduck - A libre FTP, SFTP, WebDAV, S3, Backblaze B2, Azure & OpenStack Swift browser.

Oracle DBaaS - See how Oracle Database 12c enables businesses to plug into the cloud and power the real-time enterprise.

Google Cloud Filestore - Fully-managed cloud file storage

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