Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud Platform Reviews & Ratings
    61,066 Ratings
    Company Website
  • QuantaStor Reviews & Ratings
    6 Ratings
    Company Website
  • IONOS Cloud Object Storage Reviews & Ratings
    45,199 Ratings
    Company Website
  • Files.com Reviews & Ratings
    338 Ratings
    Company Website
  • Servers.com by Nexcess Reviews & Ratings
    15 Ratings
    Company Website
  • pCloud Business Reviews & Ratings
    189 Ratings
    Company Website
  • Compute with Hivenet Reviews & Ratings
    4 Ratings
    Company Website
  • Proton Drive Reviews & Ratings
    3,602 Ratings
    Company Website
  • ManageEngine ADManager Plus Reviews & Ratings
    716 Ratings
    Company Website
  • Cloudflare Reviews & Ratings
    2,048 Ratings
    Company Website

What is MinIO?

MinIO provides a robust object storage solution that is entirely software-defined, empowering users to create cloud-native data infrastructures specifically designed for machine learning, analytics, and diverse application data requirements. What distinguishes MinIO is its performance-focused architecture and full compatibility with the S3 API, all while being open-source. This platform excels in large private cloud environments where stringent security protocols are essential, guaranteeing the availability of critical workloads across various applications. As the fastest object storage server in the world, MinIO boasts remarkable READ/WRITE speeds of 183 GB/s and 171 GB/s on standard hardware, positioning it as a primary storage layer for a multitude of tasks, including those involving Spark, Presto, TensorFlow, and H2O.ai, while also serving as an alternative to Hadoop HDFS. By leveraging experiences from web-scale operations, MinIO facilitates a straightforward scaling process for object storage, beginning with a single cluster that can be easily expanded by federating with additional MinIO clusters as required. This adaptability in scaling empowers organizations to efficiently modify their storage systems in response to their evolving data requirements, making it an invaluable asset for future growth. The ability to scale seamlessly ensures that users can maintain high performance and security as their data storage needs change over time.

What is Hadoop?

The Apache Hadoop software library acts as a framework designed for the distributed processing of large-scale data sets across clusters of computers, employing simple programming models. It is capable of scaling from a single server to thousands of machines, each contributing local storage and computation resources. Instead of relying on hardware solutions for high availability, this library is specifically designed to detect and handle failures at the application level, guaranteeing that a reliable service can operate on a cluster that might face interruptions. Many organizations and companies utilize Hadoop in various capacities, including both research and production settings. Users are encouraged to participate in the Hadoop PoweredBy wiki page to highlight their implementations. The most recent version, Apache Hadoop 3.3.4, brings forth several significant enhancements when compared to its predecessor, hadoop-3.2, improving its performance and operational capabilities. This ongoing development of Hadoop demonstrates the increasing demand for effective data processing tools in an era where data drives decision-making and innovation. As organizations continue to adopt Hadoop, it is likely that the community will see even more advancements and features in future releases.

Media

Media

Integrations Supported

Azure Marketplace
lakeFS
JetBackup

Integrations Supported

Azure Marketplace
lakeFS
Amazon EMR
Apache Impala
Apache Kylin
Apache Spark
BigBI
IRI DMaaS
IRI Voracity
Informatica Dynamic Data Masking
Informatica Persistent Data Masking
NFVgrid
Normalyze
Oracle Big Data Discovery
Pavilion HyperOS
SAS Data Loader for Hadoop
Style Intelligence
Yandex Data Proc
doolytic

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

MinIO

Company Location

United States

Company Website

min.io

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hadoop.apache.org

Categories and Features

Cloud Storage

Encryption

Object Storage

Not specified

Categories and Features

Big Data

Not specified

Data Lake

Not specified

Popular Alternatives

QuantaStor Reviews & Ratings

QuantaStor

OSNexus

Popular Alternatives

ActiveScale Reviews & Ratings

ActiveScale

Quantum
Amazon EMR Reviews & Ratings

Amazon EMR

Amazon
E-MapReduce Reviews & Ratings

E-MapReduce

Alibaba