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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Minio vs MongoDB

Minio vs MongoDB

OverviewDecisionsComparisonAlternatives

Overview

MongoDB
MongoDB
Stacks96.6K
Followers82.0K
Votes4.1K
GitHub Stars27.7K
Forks5.7K
Minio
Minio
Stacks638
Followers670
Votes43
GitHub Stars57.8K
Forks6.4K

Minio vs MongoDB: What are the differences?

Introduction

This Markdown code provides a comparison between Minio and MongoDB, highlighting the key differences between the two.

  1. Deployment Model: Minio is an object storage software that is installed on local servers or in private cloud environments, providing an alternative to public cloud storage providers. It allows users to build their own object storage infrastructure. On the other hand, MongoDB is a document-oriented database that can be deployed on-premises or in the cloud, offering flexible options for data storage and retrieval.

  2. Data Structure: Minio primarily focuses on storing and managing objects, which are files or data entities that can be stored as a whole. It does not provide advanced querying or indexing capabilities. MongoDB, on the other hand, is a NoSQL database that organizes data in collections and documents, providing rich querying and indexing features. It supports complex data structures and enables fast data retrieval based on various criteria.

  3. Querying and Indexing: Minio does not provide advanced querying or indexing mechanisms. It is primarily designed for simple object storage and retrieval. In contrast, MongoDB offers a flexible Query Language (QL) that allows users to perform complex queries on document data. It also supports the creation of indexes to optimize query performance.

  4. Scalability: Minio is horizontally scalable, meaning it can be easily scaled by adding more servers to the infrastructure. It supports distributed setups that enable high availability and fault tolerance. MongoDB also supports horizontal scaling, allowing users to distribute data across multiple servers or clusters. It provides automatic sharding and load balancing capabilities.

  5. Consistency Model: Minio ensures strong consistency, meaning that all replicas of an object are always in sync. It guarantees that the latest version of an object is always available for reading. MongoDB, however, provides eventual consistency by default, which means that data may be temporarily inconsistent between replicas. It allows for more scalability and performance but requires additional measures for maintaining strong consistency if required.

  6. Data Durability: Minio ensures data durability by replicating objects across multiple drives or servers. It provides options for data redundancy and fault tolerance. MongoDB also offers data durability, with options for data replication and high availability. It supports replica sets for automatic failover and data redundancy.

In summary, Minio is a scalable object storage software that focuses on simple storage and retrieval of objects with strong consistency and data durability. MongoDB, on the other hand, is a feature-rich database that supports complex data structures, querying, indexing, scalability, and eventual consistency.

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Advice on MongoDB, Minio

George
George

Student

Mar 18, 2020

Needs adviceonPostgreSQLPostgreSQLPythonPythonDjangoDjango

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Mike
Mike

Mar 20, 2020

Needs advice

We Have thousands of .pdf docs generated from the same form but with lots of variability. We need to extract data from open text and more important - from tables inside the docs. The output of Couchbase/Mongo will be one row per document for backend processing. ADOBE renders the tables in an unusable form.

241k views241k
Comments

Detailed Comparison

MongoDB
MongoDB
Minio
Minio

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

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

Flexible data model, expressive query language, secondary indexes, replication, auto-sharding, in-place updates, aggregation, GridFS
-
Statistics
GitHub Stars
27.7K
GitHub Stars
57.8K
GitHub Forks
5.7K
GitHub Forks
6.4K
Stacks
96.6K
Stacks
638
Followers
82.0K
Followers
670
Votes
4.1K
Votes
43
Pros & Cons
Pros
  • 829
    Document-oriented storage
  • 594
    No sql
  • 554
    Ease of use
  • 465
    Fast
  • 410
    High performance
Cons
  • 6
    Very slowly for connected models that require joins
  • 3
    Not acid compliant
  • 2
    Proprietary query language
Pros
  • 10
    Store and Serve Resumes & Job Description PDF, Backups
  • 8
    S3 Compatible
  • 4
    Simple
  • 4
    Open Source
  • 3
    Encryption and Tamper-Proof
Cons
  • 3
    Deletion of huge buckets is not possible
Integrations
No integrations available
Amazon S3
Amazon S3

What are some alternatives to MongoDB, Minio?

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

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

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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