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  1. Stackups
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  5. Cassandra vs Minio

Cassandra vs Minio

OverviewDecisionsComparisonAlternatives

Overview

Cassandra
Cassandra
Stacks3.6K
Followers3.5K
Votes507
GitHub Stars9.5K
Forks3.8K
Minio
Minio
Stacks638
Followers670
Votes43
GitHub Stars57.8K
Forks6.4K

Cassandra vs Minio: What are the differences?

Introduction: Cassandra and Minio are both popular storage solutions, but they have key differences that set them apart. In this comparison, we will highlight six distinctive features of each.

  1. Scalability: Cassandra is known for its ability to scale horizontally across multiple nodes, allowing it to handle large amounts of data without sacrificing performance. On the other hand, Minio is designed for scale-out storage and can be easily scaled horizontally by adding more drives.

  2. Data Model: Cassandra is a wide-column database that offers a flexible schema design, allowing for dynamic changes to the data structure. In contrast, Minio is an object storage system that organizes data as objects within buckets, similar to Amazon S3.

  3. Consistency: Cassandra supports tunable consistency levels, giving users the ability to choose between strong consistency and high availability. Minio, on the other hand, provides eventual consistency, ensuring high availability at the cost of potential data inconsistency.

  4. Data Replication: Cassandra utilizes a distributed architecture with data replication across multiple nodes, providing fault tolerance and high availability. Minio also supports data replication, but it uses erasure coding to distribute data across drives, reducing the storage overhead.

  5. Query Language: Cassandra uses Cassandra Query Language (CQL), a SQL-like language for interacting with the database. Minio, being an object storage system, does not have a dedicated query language and relies on its API and SDKs for data retrieval and manipulation.

  6. Durability and Persistence: Cassandra ensures durability by writing data to commit logs and memtables before flushing it to disk. It also supports replication and fault tolerance. Minio guarantees data persistence by writing objects to disks and using distributed erasure coding for redundancy.

In Summary, Cassandra excels in scalability, data modeling, and tunable consistency levels, while Minio offers scalability through scale-out storage, object-based data organization, and efficient data replication using erasure coding.

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Advice on Cassandra, Minio

Dalton
Dalton

Oct 23, 2020

Decided

Minio is a free and open source object storage system. It can be self-hosted and is S3 compatible. During the early stage it would save cost and allow us to move to a different object storage when we scale up. It is also fast and easy to set up. This is very useful during development since it can be run on localhost.

143k views143k
Comments
Vinay
Vinay

Head of Engineering

Sep 19, 2019

Needs advice

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

174k views174k
Comments

Detailed Comparison

Cassandra
Cassandra
Minio
Minio

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.

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

Statistics
GitHub Stars
9.5K
GitHub Stars
57.8K
GitHub Forks
3.8K
GitHub Forks
6.4K
Stacks
3.6K
Stacks
638
Followers
3.5K
Followers
670
Votes
507
Votes
43
Pros & Cons
Pros
  • 119
    Distributed
  • 98
    High performance
  • 81
    High availability
  • 74
    Easy scalability
  • 53
    Replication
Cons
  • 3
    Reliability of replication
  • 1
    Size
  • 1
    Updates
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
No integrations available
Amazon S3
Amazon S3

What are some alternatives to Cassandra, Minio?

MongoDB

MongoDB

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.

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.

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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