Amazon DynamoDB vs Minio

Overview

Amazon DynamoDB

Stacks4.0K

Followers3.2K

Votes195

Minio

Stacks638

Followers670

Votes43

GitHub Stars57.8K

Forks6.4K

Amazon DynamoDB vs Minio: What are the differences?

Introduction

In this article, we will discuss the key differences between Amazon DynamoDB and Minio. Both Amazon DynamoDB and Minio are popular platforms used for different purposes. Here, we will highlight the key distinctions between the two.

Scalability and Performance: Amazon DynamoDB is a highly scalable and fully managed NoSQL database service offered by AWS. It is designed to handle millions of requests per second and can automatically scale up or down based on demand. On the other hand, Minio is an open-source object storage server that is optimized for high-performance object storage. While both platforms can scale horizontally, DynamoDB's scalability and performance are more finely tuned and optimized for massive workloads.
Data Model and Querying: DynamoDB uses a key-value data model, with optional support for secondary indexes, thus making it suitable for various use cases. It also provides powerful querying capabilities through the use of its Query and Scan operations, allowing for efficient data retrieval based on specific attributes. In contrast, Minio is primarily designed as an object storage solution and utilizes a simple key-value model for data storage. Although Minio does provide metadata search and filtering options, its querying capabilities are more limited compared to DynamoDB.
Durability and Persistence: DynamoDB ensures high durability and persistence of data by automatically replicating data across multiple Availability Zones within a region. This replication provides strong data consistency and protects against data loss. On the other hand, Minio also provides data durability by replicating objects across multiple drives and nodes. However, unlike DynamoDB, the replication mechanism in Minio is configurable and needs to be set up manually.
Pricing Structure: DynamoDB follows a utility-based pricing model, where customers pay based on the provisioned throughput, indexed data storage, and additional features used. It offers various pricing options, including on-demand and provisioned capacity modes. Minio, being open-source, is free to use and does not have any direct pricing. However, users will need to consider the cost of infrastructure, storage, and maintenance when deploying Minio.
Integration with Ecosystem: DynamoDB is fully integrated with other AWS services, making it seamless to build scalable applications within the AWS ecosystem. It easily integrates with other AWS tools and services like Lambda, API Gateway, and CloudWatch. Minio, on the other hand, can also be integrated with various third-party tools and services but lacks the native integration capabilities of DynamoDB within the AWS ecosystem.
Deployment Options: DynamoDB is a managed service provided by Amazon Web Services (AWS) and is available as a fully managed cloud service. It offers region-specific deployments and is tightly integrated with other AWS services. On the contrary, Minio can be deployed in various environments, including on-premises, private cloud, or public cloud infrastructures. It allows for more flexibility in choosing deployment options based on specific requirements.

In summary, the key differences between Amazon DynamoDB and Minio lie in their scalability and performance, data model and querying capabilities, durability and persistence, pricing structure, integration with the ecosystem, and deployment options. Each platform comes with its own strengths and is suitable for different use cases and scenarios.

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Advice on Amazon DynamoDB, Minio

Doru

Solution Architect

Jun 9, 2019

Reviewon

Amazon 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.

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Detailed Comparison

Amazon DynamoDB	Minio
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.	Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License
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
GitHub Stars -	GitHub Stars 57.8K
GitHub Forks -	GitHub Forks 6.4K
Stacks 4.0K	Stacks 638
Followers 3.2K	Followers 670
Votes 195	Votes 43
Pros & Cons
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	Pros 10 Store and Serve Resumes & Job Description PDF, Backups 8 S3 Compatible 4 Simple 4 Open Source 3 Lambda Compute Cons 3 Deletion of huge buckets is not possible
Integrations
Amazon RDS for PostgreSQL PostgreSQL MySQL SQLite Azure Database for MySQL	Amazon S3

What are some alternatives to Amazon DynamoDB, Minio?

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

Amazon EBS

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.

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 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.

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’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 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

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).

Related Comparisons

Amazon DynamoDB vs Minio: What are the differences?

Introduction

Scalability and Performance: Amazon DynamoDB is a highly scalable and fully managed NoSQL database service offered by AWS. It is designed to handle millions of requests per second and can automatically scale up or down based on demand. On the other hand, Minio is an open-source object storage server that is optimized for high-performance object storage. While both platforms can scale horizontally, DynamoDB's scalability and performance are more finely tuned and optimized for massive workloads.
Data Model and Querying: DynamoDB uses a key-value data model, with optional support for secondary indexes, thus making it suitable for various use cases. It also provides powerful querying capabilities through the use of its Query and Scan operations, allowing for efficient data retrieval based on specific attributes. In contrast, Minio is primarily designed as an object storage solution and utilizes a simple key-value model for data storage. Although Minio does provide metadata search and filtering options, its querying capabilities are more limited compared to DynamoDB.
Durability and Persistence: DynamoDB ensures high durability and persistence of data by automatically replicating data across multiple Availability Zones within a region. This replication provides strong data consistency and protects against data loss. On the other hand, Minio also provides data durability by replicating objects across multiple drives and nodes. However, unlike DynamoDB, the replication mechanism in Minio is configurable and needs to be set up manually.
Pricing Structure: DynamoDB follows a utility-based pricing model, where customers pay based on the provisioned throughput, indexed data storage, and additional features used. It offers various pricing options, including on-demand and provisioned capacity modes. Minio, being open-source, is free to use and does not have any direct pricing. However, users will need to consider the cost of infrastructure, storage, and maintenance when deploying Minio.
Integration with Ecosystem: DynamoDB is fully integrated with other AWS services, making it seamless to build scalable applications within the AWS ecosystem. It easily integrates with other AWS tools and services like Lambda, API Gateway, and CloudWatch. Minio, on the other hand, can also be integrated with various third-party tools and services but lacks the native integration capabilities of DynamoDB within the AWS ecosystem.
Deployment Options: DynamoDB is a managed service provided by Amazon Web Services (AWS) and is available as a fully managed cloud service. It offers region-specific deployments and is tightly integrated with other AWS services. On the contrary, Minio can be deployed in various environments, including on-premises, private cloud, or public cloud infrastructures. It allows for more flexibility in choosing deployment options based on specific requirements.

Amazon DynamoDB vs Minio

Overview