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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 

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