Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
IPFS Cluster enhances data management across a collection of IPFS daemons by managing the allocation, replication, and monitoring of a comprehensive pinset that spans multiple peers. While IPFS empowers users with content-addressed storage capabilities, the concept of a permanent web necessitates a solution for data redundancy and availability that preserves the decentralized essence of the IPFS Network. Serving as a complementary application to IPFS peers, IPFS Cluster maintains a unified cluster pinset and intelligently assigns its components to various IPFS peers. The peers in the Cluster create a distributed network that keeps an organized, replicated, and conflict-free inventory of pins. Users can directly ingest IPFS content to multiple daemons simultaneously, enhancing efficiency. Additionally, each peer in the Cluster offers an IPFS proxy API that executes cluster functions while mimicking the behavior of the IPFS daemon's API seamlessly. Written in Go, the Cluster peers can be launched and managed programmatically, making it easier to integrate into existing workflows. This capability empowers developers to leverage the full potential of decentralized storage solutions effectively.
Description
You have the ability to deploy clusters as needed and automatically manage their scaling, allowing you to concentrate solely on processing, analyzing, and reporting big data. Leveraging years of experience in massively distributed computing, our operations team expertly handles the intricacies of cluster management. During peak demand, clusters can be automatically expanded to enhance computing power, while they can be contracted during quieter periods to minimize costs. A user-friendly management console is available to simplify tasks such as cluster oversight, template customization, task submissions, and monitoring of alerts. By integrating with the BCC, it enables businesses to focus on their core operations during busy times while assisting the BMR in processing big data during idle periods, ultimately leading to reduced overall IT costs. This seamless integration not only streamlines operations but also enhances efficiency across the board.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Docker
Yes
Ethereum
Yes
Filecoin
Yes
IPFS
Yes
MLlib
No
Netdata
Yes
Integrations
Docker
No
Ethereum
No
Filecoin
No
IPFS
No
MLlib
Yes
Netdata
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IPFS Cluster
Website
cluster.ipfs.io
Vendor Details
Company Name
Baidu AI Cloud
Founded
2000
Country
China
Website
intl.cloud.baidu.com/product/bmr.html
Product Features
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No