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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cloud Storage
  5. Amazon DynamoDB vs Amazon EBS

Amazon DynamoDB vs Amazon EBS

OverviewDecisionsComparisonAlternatives

Overview

Amazon EBS
Amazon EBS
Stacks650
Followers542
Votes82
Amazon DynamoDB
Amazon DynamoDB
Stacks4.0K
Followers3.2K
Votes195

Amazon DynamoDB vs Amazon EBS: What are the differences?

Introduction

Amazon DynamoDB and Amazon EBS are both storage services provided by Amazon Web Services (AWS) cloud platform. However, they have several key differences that make them suitable for different use cases. This article will highlight the major differences between Amazon DynamoDB and Amazon EBS.

  1. Scalability: Amazon DynamoDB is a fully managed NoSQL database service that provides automatic scaling of resources to meet the demand of applications. It can handle massive workloads and scale up or down based on the traffic patterns. On the other hand, Amazon EBS is a block-level storage service that provides persistent storage volumes for EC2 instances. It allows you to provision storage volumes of different sizes, but it doesn't scale automatically like DynamoDB.

  2. Data Model: Amazon DynamoDB is a NoSQL database service that uses a key-value store model. It allows you to store and retrieve any amount of data, and the data is organized based on primary key attributes. On the other hand, Amazon EBS provides block-level storage, which means it can store any type of data in blocks. It can be formatted with any file system and used like a physical hard drive.

  3. Accessibility: Amazon DynamoDB is a fully managed service that is accessed through an API. It is designed to be highly available and fault-tolerant, with data automatically replicated across multiple availability zones. On the other hand, Amazon EBS volumes are accessed directly by EC2 instances. They are not replicated by default, but you can create snapshots of volumes for backup and recovery.

  4. Latency: Amazon DynamoDB is designed for low-latency access to data, with response times in single-digit milliseconds. It is optimized for fast and predictable performance, making it suitable for real-time applications. On the other hand, Amazon EBS performance can vary based on the type of volume and the workload. While it provides good performance for most use cases, it may not be as fast as DynamoDB in terms of latency.

  5. Pricing Model: Amazon DynamoDB pricing is based on the provisioned throughput and the amount of data stored. You pay for the amount of read and write throughput you provision, along with the storage used. On the other hand, Amazon EBS pricing is based on the volume type and the size of the storage. You pay for the provisioned storage capacity, regardless of the amount of data stored in the volume.

  6. Use Cases: Amazon DynamoDB is often used for applications that require high scalability and low-latency access to data, such as gaming, ad tech, and IoT. It is also suitable for applications that need a flexible schema and can benefit from a fully managed service. On the other hand, Amazon EBS is commonly used for persistent storage requirements of EC2 instances, such as databases, file systems, and log files.

In summary, Amazon DynamoDB is a fully managed NoSQL database service that provides automatic scaling and low-latency access to data. It is optimized for high scalability and is suitable for applications that require fast and predictable performance. On the other hand, Amazon EBS is a block-level storage service that provides persistent storage for EC2 instances. It is suitable for applications that need a flexible storage solution and can benefit from direct access to block-level storage.

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Advice on Amazon EBS, Amazon DynamoDB

Doru
Doru

Solution Architect

Jun 9, 2019

ReviewonAmazon DynamoDBAmazon DynamoDB

I use Amazon DynamoDB because it integrates seamlessly with other AWS SaaS solutions and if cost is the primary concern early on, then this will be a better choice when compared to AWS RDS or any other solution that requires the creation of a HA cluster of IaaS components that will cost money just for being there, the costs not being influenced primarily by usage.

1.37k views1.37k
Comments
akash
akash

Aug 27, 2020

Needs adviceonCloud FirestoreCloud FirestoreFirebase Realtime DatabaseFirebase Realtime DatabaseAmazon DynamoDBAmazon DynamoDB

We are building a social media app, where users will post images, like their post, and make friends based on their interest. We are currently using Cloud Firestore and Firebase Realtime Database. We are looking for another database like Amazon DynamoDB; how much this decision can be efficient in terms of pricing and overhead?

199k views199k
Comments

Detailed Comparison

Amazon EBS
Amazon EBS
Amazon DynamoDB
Amazon DynamoDB

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

Amazon EBS allows you to create storage volumes from 1 GB to 1 TB that can be mounted as devices by Amazon EC2 instances. Multiple volumes can be mounted to the same instance.;Amazon EBS enables you to provision a specific level of I/O performance if desired, by choosing a Provisioned IOPS volume. This allows you to predictably scale to thousands of IOPS per Amazon EC2 instance.;Storage volumes behave like raw, unformatted block devices, with user supplied device names and a block device interface. You can create a file system on top of Amazon EBS volumes, or use them in any other way you would use a block device (like a hard drive).;Amazon EBS volumes are placed in a specific Availability Zone, and can then be attached to instances also in that same Availability Zone.;Each storage volume is automatically replicated within the same Availability Zone. This prevents data loss due to failure of any single hardware component.;Amazon EBS also provides the ability to create point-in-time snapshots of volumes, which are persisted to Amazon S3. These snapshots can be used as the starting point for new Amazon EBS volumes, and protect data for long-term durability. The same snapshot can be used to instantiate as many volumes as you wish. These snapshots can be copied across AWS regions, making it easier to leverage multiple AWS regions for geographical expansion, data center migration and disaster recovery.;AWS also enables you to create new volumes from AWS hosted public data sets.;Amazon CloudWatch exposes performance metrics for EBS volumes, giving you insight into bandwidth, throughput, latency, and queue depth. The metrics are accessible via the AWS CloudWatch API or the AWS Management Console. For more details, see Amazon CloudWatch.
Automated Storage Scaling – There is no limit to the amount of data you can store in a DynamoDB table, and the service automatically allocates more storage, as you store more data using the DynamoDB write APIs;Provisioned Throughput – When creating a table, simply specify how much request capacity you require. DynamoDB allocates dedicated resources to your table to meet your performance requirements, and automatically partitions data over a sufficient number of servers to meet your request capacity;Fully Distributed, Shared Nothing Architecture
Statistics
Stacks
650
Stacks
4.0K
Followers
542
Followers
3.2K
Votes
82
Votes
195
Pros & Cons
Pros
  • 36
    Point-in-time snapshots
  • 27
    Data reliability
  • 19
    Configurable i/o performance
Pros
  • 62
    Predictable performance and cost
  • 56
    Scalable
  • 35
    Native JSON Support
  • 21
    AWS Free Tier
  • 7
    Fast
Cons
  • 4
    Only sequential access for paginate data
  • 1
    Document Limit Size
  • 1
    Scaling
Integrations
No integrations available
Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
PostgreSQL
PostgreSQL
MySQL
MySQL
SQLite
SQLite
Azure Database for MySQL
Azure Database for MySQL

What are some alternatives to Amazon EBS, Amazon DynamoDB?

Amazon S3

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

Azure Cosmos DB

Azure Cosmos DB

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

Cloud Firestore

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

Google Cloud Storage

Google Cloud Storage

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

Azure Storage

Azure Storage

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

Minio

Minio

Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License

OpenEBS

OpenEBS

OpenEBS allows you to treat your persistent workload containers, such as DBs on containers, just like other containers. OpenEBS itself is deployed as just another container on your host.

Cloudant

Cloudant

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

Google Cloud Bigtable

Google Cloud Bigtable

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

Rackspace Cloud Files

Rackspace Cloud Files

Cloud Files, powered by OpenStack®, provides an easy to use online storage for files and media which can be delivered globally at blazing speeds over Akamai's content delivery network (CDN).

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