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Amazon Aurora VS Amazon Elastic File System

Compare Amazon Aurora VS Amazon Elastic File System and see what are their differences

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Amazon Aurora logo Amazon Aurora

MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

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.
  • Amazon Aurora Landing page
    Landing page //
    2023-03-17
  • Amazon Elastic File System Landing page
    Landing page //
    2023-04-05

Amazon Aurora features and specs

  • High Performance
    Amazon Aurora is designed to provide up to five times the throughput of standard MySQL and three times the throughput of standard PostgreSQL databases.
  • Scalability
    Aurora scales storage automatically, growing from 10GB up to 128TB with no downtime. This automatic scaling makes it ideal for applications with fluctuating workloads.
  • High Availability and Durability
    Aurora automatically replicates six copies of data across three availability zones and continuously backs up data to Amazon S3, ensuring durability.
  • Security
    Aurora offers multiple layers of security including network isolation using Amazon VPC, encryption at rest using keys that you create and control through AWS Key Management Service (KMS), and encryption of data in transit using SSL.
  • Fully Managed
    Aurora is fully managed by AWS, which automates time-consuming administrative tasks such as hardware provisioning, database setup, patching, and backups.
  • Compatibility
    Aurora is compatible with MySQL and PostgreSQL, making it easier to migrate existing applications to Aurora with minimal changes.

Possible disadvantages of Amazon Aurora

  • Cost
    Aurora can be more expensive than traditional RDS instances, particularly for workloads that do not fully utilize its high performance and scalability features.
  • Complexity
    The numerous features and configurations can make Aurora complex to manage and tune, especially for those who are not familiar with AWS services.
  • Vendor Lock-in
    Adopting Aurora ties you into the AWS ecosystem, which can make it difficult to migrate to other cloud providers or on-premises systems.
  • Cold Start Latency
    Aurora Serverless can experience latency during cold starts, which can be problematic for applications requiring instant scalability.
  • Limited to AWS Environment
    Aurora is only available within the AWS environment, which can be limiting if your infrastructure spans multiple cloud providers.

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.

Amazon Aurora videos

+ Add

Introduction to Amazon Aurora - Relational Database Built for the Cloud - AWS

More videos:

  • Review - Amazon Aurora Global Database Deep Dive
  • Review - What's New in Amazon Aurora - AWS Online Tech Talks

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 Amazon Aurora and Amazon Elastic File System)

Amazon Aurora

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 Amazon Aurora. We know about 25 links to it since March 2021 and only 23 links to Amazon Aurora. 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.

Amazon Aurora mentions (23)

  • Building a RAG System for Video Content Search and Analysis
    Using Amazon Bedrock to invoke Amazon Titan Foundation Models for generating multimodal embeddings, Amazon Transcribe for converting speech to text, and Amazon Aurora postgreSQL for vector storage and similarity search, you can build an application that understands both visual and audio content, enabling natural language queries to find specific moments in videos. - Source: dev.to / 22 days ago
  • Everyone Uses Postgres… But Why?
    Cloud deployment: PostgreSQL can be deployed in the cloud with AWS RDS, Amazon Aurora, Azure Database for PostgreSQL, or Cloud SQL for PostgreSQL. - Source: dev.to / 5 months ago
  • Announcing the public beta for dedicated clusters
    Today, our Postgres databases are Amazon Aurora instances. You can trust that your database will have the scalability, reliability and security that AWS is known for. With dedicated clusters you can configure both the Postgres engine version, cluster class and number of replicas for failover and query distribution. - Source: dev.to / 9 months ago
  • Vector database is not a separate database category
    As far as the big players are concerned, Google offers AlloyDB (https://cloud.google.com/alloydb) while Amazon offers Aurora (https://aws.amazon.com/rds/aurora/). - Source: Hacker News / over 1 year ago
  • Building realtime experiences with Amazon Aurora
    Aurora is a managed database service from Amazon compatible with MySQL and PostgreSQL. It allows for the use of existing MySQL code, tools, and applications and can offer increased performance for certain workloads compared to MySQL and PostgreSQL. - Source: dev.to / almost 2 years ago
View more

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 Amazon Aurora 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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