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Description
MinIO offers a powerful object storage solution that is entirely software-defined, allowing users to establish cloud-native data infrastructures tailored for machine learning, analytics, and various application data demands. What sets MinIO apart is its design centered around performance and compatibility with the S3 API, all while being completely open-source. This platform is particularly well-suited for expansive private cloud settings that prioritize robust security measures, ensuring critical availability for a wide array of workloads. Recognized as the fastest object storage server globally, MinIO achieves impressive READ/WRITE speeds of 183 GB/s and 171 GB/s on standard hardware, enabling it to serve as the primary storage layer for numerous tasks, including those involving Spark, Presto, TensorFlow, and H2O.ai, in addition to acting as an alternative to Hadoop HDFS. By incorporating insights gained from web-scale operations, MinIO simplifies the scaling process for object storage, starting with an individual cluster that can easily be federated with additional MinIO clusters as needed. This flexibility in scaling allows organizations to adapt their storage solutions efficiently as their data needs evolve.
Description
Oracle Cloud Infrastructure (OCI) Data Flow is a comprehensive managed service for Apache Spark, enabling users to execute processing tasks on enormous data sets without the burden of deploying or managing infrastructure. This capability accelerates the delivery of applications, allowing developers to concentrate on building their apps rather than dealing with infrastructure concerns. OCI Data Flow autonomously manages the provisioning of infrastructure, network configurations, and dismantling after Spark jobs finish. It also oversees storage and security, significantly reducing the effort needed to create and maintain Spark applications for large-scale data analysis. Furthermore, with OCI Data Flow, there are no clusters that require installation, patching, or upgrading, which translates to both time savings and reduced operational expenses for various projects. Each Spark job is executed using private dedicated resources, which removes the necessity for prior capacity planning. Consequently, organizations benefit from a pay-as-you-go model, only incurring costs for the infrastructure resources utilized during the execution of Spark jobs. This innovative approach not only streamlines the process but also enhances scalability and flexibility for data-driven applications.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Apache Spark
Azure Marketplace
Catalogic DPX
Elestio
Filestash
Flockport
HPE Ezmeral
KubeSphere
Kubernetes
Integrations
Amazon S3
Apache Spark
Azure Marketplace
Catalogic DPX
Elestio
Filestash
Flockport
HPE Ezmeral
KubeSphere
Kubernetes
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.0085 per GB per hour
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
MinIO
Country
United States
Website
min.io
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/big-data/data-flow/
Product Features
Cloud Storage
Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports