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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cloud Storage
  5. Minio vs PaaS DB PostgreSQL

Minio vs PaaS DB PostgreSQL

OverviewComparisonAlternatives

Overview

Minio
Minio
Stacks638
Followers670
Votes43
GitHub Stars57.8K
Forks6.4K
PaaS DB PostgreSQL
PaaS DB PostgreSQL
Stacks1
Followers20
Votes0

Minio vs PaaS DB PostgreSQL: What are the differences?

Introduction

In this Markdown-formatted code, we will discuss the key differences between Minio and PaaS DB PostgreSQL.

  1. Scalability: Minio is a high-performance distributed object storage system that allows horizontal scaling by adding more storage servers. It can seamlessly handle large amounts of data and provide high throughput. On the other hand, PaaS DB PostgreSQL is a cloud-based managed database service that provides vertical scalability by increasing the computing resources of the underlying database server. It is suitable for applications that require relational database capabilities and can handle moderate data volumes.

  2. Data Structure: Minio stores data as objects in a flat address space, similar to an Amazon S3 bucket. Each object can be accessed individually using a unique key. In contrast, PaaS DB PostgreSQL stores data in a relational table structure with rows and columns. This allows for complex querying and joining of data using SQL, making it suitable for applications that require structured data storage and retrieval.

  3. Data Consistency: Minio provides eventual consistency, which means that updates to the object storage system are propagated asynchronously and may take some time to reflect on all storage servers. This makes it suitable for scenarios where immediate consistency is not critical, such as distributed file sharing or data backup. PaaS DB PostgreSQL, on the other hand, provides strong consistency by utilizing multi-version concurrency control (MVCC) techniques. This ensures that each transaction sees a consistent snapshot of the database, making it suitable for applications that require strict data consistency.

  4. Deployment Flexibility: Minio can be deployed on-premises or on public cloud platforms, providing flexibility in choosing the infrastructure environment. It allows organizations to have control over their data and infrastructure. PaaS DB PostgreSQL, as a managed service, is typically deployed on a specific cloud provider's infrastructure, making it easier to set up and manage but limiting the flexibility in choosing the deployment environment.

  5. Backup and Disaster Recovery: Minio provides built-in support for distributed backups and disaster recovery. Multiple copies of data can be automatically created across different storage servers or geographical regions, ensuring data durability and availability. PaaS DB PostgreSQL also provides backup and restore functionality but may require additional configurations and processes to achieve distributed backups or disaster recovery.

  6. Cost Model: Minio follows a pay-as-you-go pricing model, where organizations are charged based on the storage capacity and data transfer. It provides cost-effective storage for large data volumes. PaaS DB PostgreSQL, as a managed service, typically follows a subscription-based pricing model where organizations pay a fixed fee for the database resources and usage. This model may be more suitable for applications with predictable and stable resource requirements.

In summary, Minio and PaaS DB PostgreSQL differ in scalability, data structure, data consistency, deployment flexibility, backup and disaster recovery capabilities, and cost model. These differences provide options for organizations to choose the most suitable storage or database solution based on their specific requirements and preferences.

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Detailed Comparison

Minio
Minio
PaaS DB PostgreSQL
PaaS DB PostgreSQL

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

A simple product to get an operational database without any pain about server management, security settings and upgrading. We provide resources to instanciate your database (PostgreSQL 9.4). Our goal is to propose this service with an hourly billing.

Statistics
GitHub Stars
57.8K
GitHub Stars
-
GitHub Forks
6.4K
GitHub Forks
-
Stacks
638
Stacks
1
Followers
670
Followers
20
Votes
43
Votes
0
Pros & Cons
Pros
  • 10
    Store and Serve Resumes & Job Description PDF, Backups
  • 8
    S3 Compatible
  • 4
    Open Source
  • 4
    Simple
  • 3
    Encryption and Tamper-Proof
Cons
  • 3
    Deletion of huge buckets is not possible
No community feedback yet
Integrations
Amazon S3
Amazon S3
PostgreSQL
PostgreSQL

What are some alternatives to Minio, PaaS DB PostgreSQL?

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

Amazon EBS

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

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.

Amazon RDS for PostgreSQL

Amazon RDS for PostgreSQL

Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.

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.

Heroku Postgres

Heroku Postgres

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

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).

Storj

Storj

It is an open source, decentralized file storage solution. It uses encryption, file sharing, and a blockchain-based hash table to store files on a peer-to-peer network. The goal is to make cloud file storage faster, cheaper, and private.

ElephantSQL

ElephantSQL

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

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